Courses offered at EPFL/UNIL
Astrophysics I,
4th semester
F. Courbin , Prof. EPFL
Astrophysics II,
6th semester
P. Jablonka , Prof. EPFL
Astrophysics III,
7th semester
Y. Revaz , Dr. EPFL
Astrophysics IV,
8th semester
J-P. Kneib , Prof. EPFL
Astrophysics V,
PhD students (EDPY) & 8th semester Physics section (by agreement)
R. Anderson , EPFL Group Leader
History of cosmology
Université de Lausanne (UNIL)
P.Jablonka , Prof. EPFL
MOOCs
The Laboratory of Astrophysics has created two public, free online courses. The first cover the basics of astrophysics at a university level. The course is given in French, but English subtitles are available. The course website is here . The second one cover the principles of radio astronomy. It is given in English. The course website is here .
EPFL course content
Astrophysics II : interactions radiation-matter This course provides the essential concepts for understanding how stars form, evolve, radiate, and synthesize their chemical elements. These are fundamentals to tackle the variety of galaxy properties, and how their interstellar medium is gradually enriched with metals.
Teachers: Pascale JablonkaLanguage: En
Astrophysics III : galaxy formation and evolution Galaxy formation & evolution is about studying how galaxies in our Universe come into existence, how they evolve and what shapes their properties. This course describes the observational facts of galaxies and the various processes of galaxy evolution as seen from theoretical/numerical models.
Teachers: Michaela HirschmannLanguage: En
Astrophysics IV : stellar and galactic dynamics The aim of this course is to acquire the basic knowledge on specific dynamical phenomena related to the origin, equilibrium, and evolution of star
Teachers: Yves RevazLanguage: En
Astrophysics V : observational cosmology Cosmology is the study of the structure and evolution of the universe as a whole. This course describes the principal themes of cosmology, as seen
Teachers: Jean-Paul KneibLanguage: En
General physics : mechanics Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanics of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools.
Teachers: Yves RevazLanguage: Fr
General physics : mechanics (english flipped classroom) The principles of classical mechanics successfully describe many phenomena encountered in the world. In this course students will develop a conceptual understanding of the core concepts and an ability to apply the theoretical framework to describe and predict the motions of solid bodies.
Teachers: Emma TolleyLanguage: En
General physics : thermodynamics (English) Students acquire the abilities to analyze physical systems through the lens of thermodynamics and statistical physics.
Teachers: Michaela HirschmannLanguage: En
Introduction to astrophysics: the basics General presentation of the methods and knowledge of modern astrophysics to illustrate our perception and understanding of the universe. This course constitutes the basis for more advanced courses, but also provides general 'astrophysics' culture for any student.
Teachers: Jean-Paul KneibLanguage: Fr
Lecture series on scientific machine learning This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method.
Teachers: David Richard HarveyLanguage: En
Robotics practicals The goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic devices, all the way to interactive robots.
Teachers: Jean-Paul KneibLanguage: En
Space sustainability, a multidisciplinary approach The students will learn the history and geopolitical challenges of space sustai. Different tools and methods to measure, understand and act for space sust. will be presented. Throughout group work, the students will evaluate the technical, economical, governance and geopolitical aspects of space sus
Teachers: Stephan HellmichLanguage: En
Studio BA1 (FR) The course aims at acquiring the essential tools to design and build an architectural project and an understanding of architecture as craft, thought and attitude, using the conception of space as a way to understand the relationship between living beings within the environment. Studio BA2 (FR) The course aims at acquiring the essential tools to design and build an architectural project and an understanding of architecture as craft, thought and attitude, using the conception of space as a way to understand the relationship between living beings within the environment. Architectural theory, initiation (FR) This course offers an introduction to architectural theory through the analysis of a set of fundamental concepts that have shaped and guided the structuring and evolution of the discipline. Art and figuration (FR) Training in analogue and digital methods of architectural representation through the study of a small vernacular building. Building envelope and interior fit-out (FR) Introduction to the design of construction elements, the criteria for selecting suitable building materials, and the methods and techniques for assembling these elements, with the aim of learning how to create coherent, high-performing, and sustainable buildings. Digital models (FR) The objective of the digital modeling course is to learn and manipulate the basic functions of the Rhinoceros 3D assisted design software through the development of a simple model. Anthropology of inhabited spaces (FR) Design begins with observation. This course introduces architecture students to anthropological tools for observing, describing and interpreting how individuals and social groups inhabit, transform and make sense of the spaces they live in. Architectural Tomography (FR) This course situates the act of drawing as an act of spatial, constructive and contextual investigation. It introduces 2-D sectional drawing as a sociotechnical tool in architecture with a fundamental role in measuring, understanding and imagining complex and situated spatial conditions. Public law for architects (FR) This course provides future EPFL architects with the basic knowledge and skills in public law required to contribute to the design and execution of architectural projects, in Switzerland or abroad – by analogy. Studio BA3 (Blanc A.) (FR)
The course deals with understanding urban phenomena in the field of rural construction. Studio BA3 (Fröhlich M. & A.) (EN) The Studio explores types and typologies to understand how buildings respond to social, environmental, and technological conditions. The first semester focuses on historical drying and storage buildings; the second on transforming tobacco-drying houses in Fribourg into collective housing. Studio BA3 (Truwant et Rodet) (FR) Inclusive Fictions: Students will investigate how accessibility can redefine domestic space through the transformation of an existing building in Renens. they will explore accessibility not simply as a technical requirement, but as a spatial, social and political condition. Studio BA3 (Peris et Toral) (EN) This studio explores collective housing through Kahn’s servant and served spaces. Students analyse references in a shared Typology Atlas and apply an assigned strategy to a row-house cluster, connecting inhabitation with spatial, structural and construction systems Studio BA3 (Rey) (FR) Through an approach that encompasses various scales of intervention – from urban design to construction detail – the studio aims to explore architectural strategies for regenerating urban areas with a focus on urban transition and climate adaptation. Studio BA3 (Taillieu) (EN) A house is the simple topic of this studio. A matter of simple complexity. Learning about a house is learning about architecture. The first part of the year is about learning about a house. The second part is about making your house. Studio BA4 (Truwant et Rodet) (FR) Inclusive Fictions: Students will investigate how accessibility can redefine domestic space through the transformation of an existing building in Renens. they will explore accessibility not simply as a technical requirement, but as a spatial, social and political condition. Studio BA3 (Peris et Toral) (EN) This studio explores the transformation of existing structures into cluster housing at STAVECO, Bologna. Students develop strategies for collective inhabitation through adaptive reuse, connecting servant and served spaces with spatial, structural, material and environmental systems. Studio BA4 (Rey) (FR) Through an approach that encompasses various scales of intervention – from urban design to construction detail – the studio aims to explore architectural strategies for regenerating urban areas with a focus on urban transition and climate adaptation. Studio BA4 (Taillieu) (EN) A house is the simple topic of this studio. A matter of simple complexity. Learning about a house is learning about architecture. Theory and techniques of architectural figuration (FR) The course imparts the theoretical foundations of the history of figurative art and introduces the operative techniques of representation. The main aim is to integrate the use of digital tools into the intellectual dimension of the discipline. Advanced CAO and Integrated Modeling DIM (FR) 1st year: basics of 2D (3D) computer representation.
From one to several software: ability to choose the appropriate 2D and 3D tools.
Linking CAD and DIM tools: critical view and ability to choose the methods necessary for the desired result. History of Architecture V/VI (EN)
This is a survey course on the history of architecture of the twentieth century.
Building services and addenda (FR) An introduction to the technical systems that ensure comfort, energy efficiency and safety in a building (heating, ventilation, plumbing and electricity).
Consolidation and further study of the concepts of structural design, construction and building physics. Urban and territorial analysis (FR) The course aims to provide students with the tools necessary to analyze and understand the contemporary city and territory. Collective housing: buildings, rooms, components (FR) This course provides the tools for reading and understanding the architecture of housing.
Its urban, typological, spatial, functional, sociological, climatic, cultural, and formal dimensions are explored through three scales: the building, the room, and the element. Studio BA5 (Delhay) (FR) The house as a city – The continuous households.
Study trip – Zurich: 4th to 6th October 2025 Studio BA5 (Malterre-Barthes) (EN) This drawing based research studio examines construction as nested systems of material extraction, exploitation, cultural production, and value generation. It seeks to unpack, reveal, and communicate the complexity of actors and forces shaping contemporary space production.
Studio BA5 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio BA5 (Cierto) (EN) The studio focuses on the domestic world. Through a sequence of architectural fragments, students progressively construct a dwelling from the inside out, allowing each exercise to reshape the next. Studio BA5 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city through the hypothesis of critical gardens as spaces for action. Two territories will be investigated over the course of the year: Bordeaux Métropole and Greater Geneva. Studio BA5 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio BA5 (Loeliger et Strub) (EN) Starting from the question “How do we want to live?”, we explore architecture as a means to imagine new forms of living together. Across two consecutive semesters, students develop urban housing concepts from contrasting perspectives, integrating social, ecological, and constructive questions. Studio BA5 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio BA5 (Parabase) (EN) In EXFORMA, conceptual and constructive thinking is developed through 3D modeling, AI-generated imagery, and construction detailing. The atelier explores new perspectives on building construction through the reuse of components from outside the architectural field, focusing on innovative techniques. Studio BA5 (MacIver-Ek et Chevroulet) (FR) Renewable energy’s real challenge is storage, not scarcity. Architecture, massive by nature, is the ideal battery: energy shapes structure, form and space. Reviving the archetype of the mill, storage transcends infrastructure and becomes a piece of civic architecture, uniting culture and energy. Studio BA5 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio BA5 (Lapierre) (FR) From Shaker communities in the USA to the question of housing in Basel, the semester examines dwelling as both intimate and collective, exploring the transformation of workspaces into new places of sharing Studio BA5 (Braghieri) (FR) The studio’s objective is to investigate the topic of construction and recolonization within the Alpine region. The program seeks to establish a commun mixing habitat and handcraft. Studio BA6 (Delhay) (FR) The city as a house – The little associative house.
Study trip – Paris, 7-9 mars Studio BA6 (Malterre-Barthes) (EN) How is architecture made? ‘Revolutionize Construction’ unpacks the political economy of construction, examining who commissions, finances, and builds, and interrogating architects’ roles. It explores how these systems might be revolutionized to enable the emergence of post-extractive architecture. Studio BA6 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio BA6 (Cierto) (EN) The studio expands its focuses on the domestic world to the scale of the city. Beginning with an existing urban structure, students design collective housing by moving from public space to the dwelling, before returning once again to the city. Studio BA6 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and greater Geneva.
Studio BA6 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio BA6 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio BA6 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio BA6 (Lapierre) (FR) This semester explores the Berlin/Rome/Lausanne triangulation. Ungers’ archipelago, the Nolli map, and Foucault’s heterotopias serve as theoretical benchmarks for designing public facilities in Lausanne as “constructed utopias.” Introduction to computational architecture (EN) This course introduces the students to text programming practice in 3D modeling (Rhinoceros3D). The main objective of the course is to develop a computational mindset to maximize the use of efficient digital tools in architectural design. Constructing the view: built images (EN) What is meant by the term “image” as pictorial representation? How do we read, process and interpret images – and what premises can be derived from this for the conception and production of meaningful images? Urban anthropology: methods and fieldwork (FR) This course explores the conceptual approaches of urban anthropology, its methods and fieldwork practices. Drawing on a historical and comparative perspective, it seeks to build critical and practical knowledge about how people inhabit urban space, here and elsewhere. Designing built heritage: Tools and methods (FR) 70% of the work of architectural offices is conducted in the existing. The course aims to provide students with the basic theoretical and practical tools to approach the project in the existing, on the current built heritage but also the monumental heritage. Transformation and energy retrofit (FR) This course is an initiation to the specificities and the methodology of a renovation project. Following a diagnosis of an existing building, the students develop renovation strategies and verify their technical and architectural pertinence regarding the building. Under construction (EN) This theory course considers the building as a material thing, focusing on the process and matter of architecture to examine how buildings come into being and stay (or don’t) in place: through discourse, site, materials, and work. History of park and garden design (EN) The course introduces the most important periods of European and international garden history and design up to the present day and shows the importance of public parks and green spaces for modern urban development. Students are given the opportunity to analyze and interpret their own example. Theory of urbanism (FR) The course examines 19th-21st c. urban models, by exploring the tension among theoretical discourses, projects, and the forms of urbanisation that have been realised. The dialectic between the concepts of the finite city and the unlimited city-territory will form the central theme. Architecture in the age of acceleration (FR) This course examines twelve theoretical positions for an architecture in the age of acceleration. By situating these positions in a recent history of architecture and placing them in a current context, this course aims to grasp their relevance for contemporary practice. Studio MA1 (Delhay) (FR) The house as a city – The continuous households.
Study trip – Zurich: 4th to 6th october 2025 Studio MA1 (Malterre-Barthes) (EN) This drawing based research studio examines construction as nested systems of material extraction, exploitation, cultural production, and value generation. It seeks to unpack, reveal, and communicate the complexity of actors and forces shaping contemporary space production.
Studio MA1 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio MA1 (Cierto) (EN) The studio focuses on the domestic world. Through a sequence of architectural fragments, students progressively construct a dwelling from the inside out, allowing each exercise to reshape the next. Studio MA1 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and Grand Genève.
Studio MA1 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio MA1 (Loeliger et Strub) (EN) Starting from the question “How do we want to live?”, we explore architecture as a means to imagine new forms of living together. Across two consecutive semesters, students develop urban housing concepts from contrasting perspectives, integrating social, ecological, and constructive questions. Studio MA1 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio MA1 (Parabase) (EN) In EXFORMA, conceptual and constructive thinking is developed through 3D modeling, AI-generated imagery, and construction detailing. The atelier explores new perspectives on building construction through the reuse of components from outside the architectural field, focusing on innovative techniques. Studio MA1 (MacIver-Ek et Chevroulet) (FR) Renewable energy’s real challenge is storage, not scarcity. Architecture, massive by nature, is the ideal battery: energy shapes structure, form and space. Reviving the archetype of the mill, storage transcends infrastructure and becomes a piece of civic architecture, uniting culture and energy. Studio MA1 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio MA1 (Lapierre) (FR) From Shaker communities in the USA to the question of housing in Basel, the semester examines dwelling as both intimate and collective, exploring the transformation of workspaces into new places of sharing Studio MA1 (Braghieri) (FR) The studio’s objective is to investigate the topic of construction and recolonization within the Alpine region. The program seeks to establish a commun mixing habitat and handcraft. Studio MA2 (Delhay) (FR) The city as a house – The little associative house.
Study trip – Paris, 7-9 mars Studio MA2 (Malterre-Barthes) (EN) How is architecture made? ‘Revolutionize Construction’ unpacks the political economy of construction, examining who commissions, finances, and builds, and interrogating architects’ roles. It explores how these systems might be revolutionized to enable the emergence of post-extractive architecture. Studio MA2 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio MA2 (Cierto) (EN) The studio expands its focuses on the domestic world to the scale of the city. Beginning with an existing urban structure, students design collective housing by moving from public space to the dwelling, before returning once again to the city. Studio MA2 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and greater Geneva. Studio MA2 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio MA2 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio MA2 (Huang) (FR) L’atelier examine les effets de l’intelligence artificielle sur l’architecture et les villes. Les outils génératifs sont envisagés comme des instruments culturels et politiques, structurant le projet à partir de données ancrées dans le territoire, l’économie, l’identité, l’image et l’écologie. Studio MA2 (Lapierre) (FR) This semester explores the Berlin/Rome/Lausanne triangulation. Ungers’ archipelago, the Nolli map, and Foucault’s heterotopias serve as theoretical benchmarks for designing public facilities in Lausanne as “constructed utopias.” Architectural anthropology (EN) This course introduces key anthropological debates and methodological approaches that are concerned with architectural productions, knowledge, and design practices.
Restore, transform and create – Practices (FR) Working with what already exists requires specific methods and tools. Mastering them means understanding what’s already there. Once it has been made intelligible through a heritage study, it can be rehabilitated. Rehabilitation ranges from restoration to creation and transformation. Drawing Structures – Docta Manus (EN) The Unit will introduce drawing as the key tool for communication between engineers and architects, and as a mediator between construction and the student. Through drawing, we will analyze selected structural projects that embody an exemplary interaction between space and structure. UE S : Foundations, basements, and the underground (EN) Using qualitative and quantitative analysis, this course will explore the underground of architecture, infrastructure, and cities from multiple perspectives (structure, material, space) to understand both its requirements and possibilities as a key part of today’s densifying cities. Constructing the view: still life (EN) This course explores visual strategies and techniques for creating apparent reality. The course concentrates on the field of 3D computer graphics and the production of still lifes as computer-generated images (CGI). UE N : Constructing the view (EN) This course focuses on the production of utopian scenarios using experimental composition techniques. By means of digital montage, the fictitious scenes are meaningfully conveyed in a series of images. Architecture and monasticism (EN) This course aims to give a general overview of the history of monasticism in relation to architecture. Constructing the view: in motion (EN) This course addresses the subject of moving images. It focuses on the field of 3D computer graphics and the animation of computer-generated images (CGI). UE G : Drawing Spaces (EN) The proposed UE Drawing Spaces is conceived as a long-term research and teaching series investigating the foundations of architectural space through analytical drawing practices. Environmental history and architecture (FR) The course explores the intersections between architectural and environmental history, focusing on a series of themes (climate, energy, materials, more-than-human, growth, ecology) and analysing the written, drawn and built works of architects and historians from the 20th and 21st centuries. Confort by design in the 20th century architecture (FR) The main objective of this course, is to highlight the centrality of building services in the design of architecture; to grasp the implications of âcomfort designâ as a feature of âarchitectural designâ and to explore the intersection of the sensorial and the material in architectural histor UE H : Graphy (FR) Experiment graphic tools to represent architecture. Exercise the skill of communicating via these tools, through repeated practice of eye/hand/brain connections; a reflection stemming from the theories of representation; and by searching for inventive solutions. UE R: Introduction to BIM (Building Information Modeling) (EN) This UE explores more in details, and in a more practical way, the concepts introduced during the BIM introduction course AR-484. All project different phases are addressed, with an emphasis on interdisciplinary collaboration and data exchanges. UE F : Architecture and rehabilitation (FR) This course aims to raise the students’ awareness to the specificities of a renovation project. The Teaching Unit focuses on the relation between renovation demands and a broad architectural vision, with particular emphasis on sustainable development. UE K : Architecture and Sustainability : performance studies (FR) This course is based on the team design of a temporary, mobile and sustainable theater. A pedagogical approach which will focus on the introduction of the concepts of sustainability applied to the design of a project with a short life span. Comfort and architecture: sustainable strategies (EN) This class offers an overview about comfort evaluations in architectural design and suggests passive and low-energy strategies suited to ensure the highest possible indoor environment quality for buildings. Architecture and Solar energy (FR) This course aims to provide architects with the knowledge and critical perspective needed to use appropriate solar technologies and strategies (passive and active, winter and summer) within a coherent architectural design project. City and mobility (FR) The City and Mobility course focuses on the basic knowledge of mobility, starting from lifestyles to inform architecture and engineering.
In particular, it explores how cities and mobility are co-constructed. UE D : Urban planning and territory (FR) The UED aims to familiarize itself with diagnostic methods that incorporate social practices and customs, since “living” encompasses not only the physical space of one’s home, but also the entire range of life experiences and familiar places that people use, experience, and grow attached to. UE J : Territory and landscape (FR) TU J initiates students to urban and territorial analysis, in the light of a research hypothesis. A sequence of operations is proposed: survey/description; spatial principles (form/rationale/dynamics); territorial visions.
UE U : Cartography (EN) Teaching unit on cartography and environmental aesthetics in architecture.
UE X : Experience design (EN) Experience Design examines the effects of digitalization on architectural typologies in the contemporary city. The course questions traditional typologies by focusing on an understanding and re-design of social, geographic, temporal and emotional experiences. Introduction to BIM (Building Information Modeling) (FR) Based on feedback from BIM professionals, this introductory course will allow you to acquire a global vision.. Urban sociology (FR) This course aims to familiarize students with urban sociology through the lens of housing. It enables them to navigate the concepts, tools, and methods the discipline offers to understand the simultaneous evolution of lifestyles and the spatial and political organization of territory.
Deman Land and real estate economics (FR) This MOOC-based course prepares students to analyse the economic context of construction projects: land acquisition, land prices, property prices, housing prices (rental and ownership), in an urban setting. By the end of the course, students will understand the determinants of these prices. Spatial and Regional Economy (FR) An introductory course designed to provide a historical perspective on the spatial distribution of people and activities. Behind/Beyond future cities (EN) We are living in an urban world and the design of sustainable cities is essential in order to decrease our energy footprint. This course provides the instruments to understand the complex urban metabolism, as well as the solutions for planning future smart and sustainable cities. Building design in the circular economy (EN) The class introduces the concept of circular economy and its applications to building design, with a focus on design with reused components and design for disassembly. The class develops critical thinking skills over and above theoretical and technical inputs. Digital design and making: A critical introduction (EN) The course introduces digital design and fabrication methods by combining the transfer of technical skills with theoretical knowledge and critical reflection. Topics include: scripting/programming for design, mass customisation through digital fabrication and robotic construction. Sustainable Japanese architecture and landscape (EN) This course focuses on the circulation of the imaginary between cultures. It shows how major Western architects, landscape designers, painters and sculptors have been inserting sustainable architectural and landscape Japanese devices and notions into their designs since the 19th century. Modernity I (EN) Theory course on modernist environmental aesthetics in architecture. UE C : Habitat and society (FR) By articulating theoretical and architectural knowledge with socio-political knowledge, the UE aims to explore the possibility of a renewed contemporary imagination around productive housing. The origins of modern domestic space (EN) The course is part of a three-year trajectory dedicated to a comprehensive history of domestic space and its relationship with urban form from its prehistoric origins to Neoliberal times.
UE V : Atlas alpinus (FR) The teaching unit will take the form of a collective research studio on the forms, materials and techniques of Alpine building culture. Bibliographical analysis, fieldwork and redrawing of built heritage will form the scientific basis for the construction of a shared atlas. Marvelous Architecture (FR) This course investigates a specific definition of architectural rationality, borrowing from Surrealism and Bachelard’s epistemology in an attempt to understand how architectural forms work when they amaze us. Exquisite Corpse: Architecture Assembled (EN) Through close readings of key examples, the course revisits the historical evolution of architectural drawing and representation as autonomous entities, aiming to reclaim the agency of architectural drawing as a project. Introduction to building archaeology (FR) This course imparts the basic notions of study and analysis methods in construction archaeology. The aim is to develop students’ understanding of ancient buildings, enabling them to take a more sensitive approach to architectural objects. Urban Green Spaces and Blue-Green Infrastructures (EN) Urban green offers a variety of services and thus plays an important role in the transformation of our cities. The course provides an overview of various innovative approaches to the planning and design of multifunctional green spaces, focussing on how to build green and blue infrastructures. UE A : Patterns for bio-based material envelopes (EN) This course explores vernacular architecture through the analysis of bio-based construction systems, geometry, and structural principles. Using digital modeling, students investigate traditional building methods and translate their principles into innovative and sustainable design solutions. Territories and housing architecture (FR) Adaptation to climate change, evolving lifestyles, and the priority placed on inward development are motivating a deeper understanding of the architectural characteristics of housing (scope, evolution, recurring patterns, and future) as well as the contexts in which it operates. Superstudio A (FR) Le Superstudio étudie l’histoire de la villa en se concentrant sur 30 cas d’étude de l’Antiquité jusqu’au 20ème siècle. L’objectif de ce studio est de comprendre, à travers l’étude architecturale des villas, les éléments les plus essentiels de l’architecture : forme, politique et représentation. EDAR thesis writing workshop (FR) The workshop will equip participants with practical skills necessary to make thesis writing smoother and better organized. Main issues covered are: getting started, stucture and argumentation, time management and self-motivation, getting and handling feedback, publications and technical tools. Against Data – Decolonizing Research (EN) This seminar will interrogate the far-fetched claim of neutrality in research at large, and of doctoral research in particular, through the lens of decolonial research discourse. Memory matters (EN) Materials embody memories of craft, industry, culture and landscape. Ordinary buildings hold layered legacies yet pose ecological and reuse challenges. The course rethinks heritage through materials, examining their assessment, documentation, and potential for careful disassembly and reuse. Horizontality and its project (EN) This seminar proposes to revisit horizontality as a mode of critical engagement with the socio- political, ecological, and economic processes of urbanization. Participant will be asked to develop a critical perspective on each of the three seminar session. Theory and Method in the Study of Architecture, Art and the City (EN) PhD students are introduced to key texts, concepts, and terms in the history of art and of the built environment. They will hone their ability to critically analyze important scholarly and theoretical essays, develop their own interpretations and present key ideas to their peers. Collective Figurations of Baukultur (EN) Conceptualizes figuration in architecture and urban design within historical and theoretical debates on representation; historicizes design research; critically contrasts operative representations with collective figurations and assesses their implications for democratic co-design. Making the World Discrete. Workshop on Methods II (EN) This workshop invites three leading scholars in art, architecture history – Prof. Aleksandr Bierig, Prof. Lucia Allais, and Prof. Emanuele Lugli – to present and discuss their work on the intersections between art, architecture, and numerical regimes from the early modern period through the 20th. Capitalizing on Uncertainty (EN) SUMMER SCHOOL – Capitalizing on Uncertainty is a 6-day Summer school exploring uncertainty as a productive resource in design and fabrication through lectures, hands-on experiments, and the collaborative design and construction of a full-scale structure in a human-robot fabrication setting. Cellular biology and biochemistry for engineers (EN) Basic course in biochemistry as well as cellular and molecular biology for non-life science students enrolling at the Master or PhD thesis level from various engineering disciplines. It reviews essential notions necessary for a training in biology-related engineering fields. Introduction to life sciences (for IC) (EN) Introduction to Life Sciences provides snapshots of representative fields in modern biology, many of which nowadays heavily rely on computational methods. Bio-organic chemistry (EN) The aim of the course is to provide a chemical understanding and intuition to decipher and predict chemical processes in living systems. Integrated labo in Life sciences I (FR) Over two semesters, you will use molecular biology, cell biology, and biochemistry to clone a cDNA into an expression plasmid and then produce, purify, and characterize the recombinant protein. Integrated labo in Life sciences II (FR) Over two semesters, you use molecular biology, cell biology, and biochemistry to clone a cDNA into an expression plasmid and then produce, purify, and characterize the recombinant protein. Cellular and molecular biology I (EN) The course covers the regulation of gene expression, which translates the information contained in the genome into function, by adjusting the levels and activities of mRNAs and proteins to the needs of specific cells, tissues and environments. A particular emphasis is given on experimental methods. Cellular and molecular biology II (EN) This course is aimed to familiarize students with the 3D organization of a eukaryotic cell, its compartmentalization, how cellular compartments communicate together and how a cell communicates with its environment. The related molecular mechanisms will be discussed. Applied software engineering for life sciences (EN) We learn and apply software engineering principles to develop Python projects addressing life science problems. Projects will be expanded iteratively throughout the semester. Biological chemistry I (EN) Biochemistry is a key discipline for the Life Sciences. Biological Chemistry I and II are two tightly interconnected courses that aim to describe and understand in molecular terms the processes that make life possible. Biological chemistry II (EN) Biochemistry is a key discipline in the Life Sciences. Biological Chemistry I and II are two tightly interconnected courses that aims to understand in molecular terms the processes that make life possible. Cell and developmental biology for engineers (EN) Students will learn essentials of cell and developmental biology with an engineering mind set, with an emphasis on animal systems and quantitative approaches. Mechanics of cells and tissues (EN) In this course, students will explore how mechanical stimuli shape molecular responses, cell behaviors, and tissue architecture, with an emphasis on regeneration and disease. Basic image analysis tools will be introduced to determine cellular and tissue properties. Immunology (FR) This course describes the human immune system, and the immunological bases of vaccination, transplantation, immunotherapy and allergy. It also describes the role of stem cells in the formation of tissues, in particular the hematopoietic lineage. Neuroscience (EN) This neuroscience course progresses from core cellular mechanisms of neuronal signaling to integrated brain systems controlling sensory processing, movement, and behavior, culminating in learning, memory, and nervous system disorders. Genomic solutions to sustainable development (EN) The course will teach how genome sciences contribute to sustainable development. Students will learn how genome sequencing technologies and applications are being used to address current challenges in agriculture, biodiversity conservation, healthcare, and climate change via lectures and practicals. Biology and engineering of membrane signaling (EN) This course introduces the basic biology of cell membranes and membrane proteins, and explains how they control communication between cells and their environment. Students will also learn how membrane proteins are studied and engineered in modern biology and bioengineering. Structural biology (EN) The main focus of this course is on the molecular interactions defining the structure, dynamics and function of biological systems. The principal experimental and computational techniques used in structural biology, as well as molecular modeling and design will be introduced and practiced. Morphology I (FR) This class is a specific preparation for the admission exam to join the third year of the Medical School. It covers the macroscopic (anatomy), microscopic (histology) morphology of the human body with a medical perspective. The correlation between structure and function is systematically described. Biological data science II : machine learning (EN) Students understand basic concepts and methods of machine learning. They can describe them in mathematical terms and can apply them to data using a high-level programming language (julia/python/R). Dynamical systems in biology (EN) Life is non-linear. This course introduces dynamical systems as a technique for modelling simple biological processes. The emphasis is on the qualitative and numerical analysis of non-linear dynamical models. Examples are taken from biology and population models. Randomness and information in biological data (EN) Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to understand biological processes in a quantitative way. Microbiology (EN) This course will provide an introduction to fundamental concepts in microbiology. Special emphasis will be given to the surprising and often counter-intuitive physical world inhabited by microorganisms. Genetics and genomics (EN) The theoretical part of this course covers classical genetics and contemporary genomics. Because bioinformatics has become important for genomic research, the course also includes practical applications to genomic analyses using Python, including group projects. Physiology by systems
(FR) The course aims at knowing and understanding the function of the cardiovascular, urinary, respiratory, gastrointestinal, basal metabolism and its regulation in the frame of a biomedical and scientific approach. Physiology lab I (FR) The physiology laboratory introduce the experimental methods in the biomedical field, including experimental set-ups, transducers, signal conditioning, data acquisition and processing.
The physiological end results illustrate the contents of the Physiologie par systèmes course. Physiology lab II
(FR) The physiology laboratory introduce the experimental methods in the biomedical field, including experimental set-ups, transducers, signal conditioning, data acquisition and processing.
The physiological end results illustrate the contents of the Physiologie par systèmes course. Oncology (EN) This course provides a comprehensive overview of the biology of cancer, including common mechanisms that cancer cells use to grow and disseminate in humans and in animal models. Bioimage informatics (EN) The course provides a comprehensive overview of methods, algorithms, and computer tools used in bioimage analysis. It exposes fundamental concepts and practical computer solutions to extract quantitative information from multidimensional images, both using engineering methods and deep learning. Life Sciences engineering: genome to function (EN) Students will acquire fundamental knowledge regarding how genomes can be engineered, how their function can be deciphered, and how their dynamic outputs can be analyzed and modeled, exemplified with a focus on cell cycle progression and proliferation control. Nutrition: from molecules to health (EN) The course addresses methods/technologies to study how nutrition affects biological and pathophysiological processes. It provides an overview of molecular phenotyping of individuals and key aspects to perform clinical investigations, covers nutrigenomics, genetics, micronutrients, microbiota. Fundamentals of biophotonics (EN) This module serves as an introduction to the area of biophotonics. The approach is multidisciplinary .The course is mainly knowledge-based but students will benefit from the skills learned by carrying out problem solving and by completing the assignment. Stem cells and organoids (EN) This course introduces the fundamentals of stem cell biology, with a particular focus on the role of stem cells during development, tissue homeostasis/regeneration and disease, and the generation of organoids from stem cells Understanding statistics and experimental design (EN) This course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental design and to avoid common pitfalls of statistical reasoning. There is space to discuss ongoing work. Molecular endocrinology: health and environment (EN) We will define homeostasis, principles of hormone regulation and the molecular mechanisms underlying hormone action and their pharmacologic exploitation. Human interactions with the environment, pertinent public health issues and their causes and preventative strategies will be analyzed. Genomics and bioinformatics (EN) This course covers various data analysis approaches for applications of DNA sequencing technologies, from genome sequencing to quantifying gene evolution, gene expression, transcription factor binding and chromosome conformation. Scientific project design in cell and developmental biology (EN) Students are led to understand selected concepts in cell and developmental biology through the analysis of scientific literature, and then apply these concepts to the design and execution of a group project in either the Gönczy or the Oates laboratory. Scientific literature analysis in bioengineering (EN) Students are given the means to dig effectively into modern scientific literature in the multidisciplinary field of bioengineering.
The method relies on granting sufficient time to become familiar with the background and hypotheses, on effective support during the analysis and on oral assessment. Scientific literature analysis in computational molecular biology (EN) The goal of this course is to learn to analyze a scientific paper critically, asking whether the data presented support the conclusions that are drawn. The analysis is presented in the form of a summary presentation and critical, constructive assessments of the paper. Cancer biology I (EN) The course covers in detail molecular mechanisms of cancer development with emphasis on cell cycle control, genome stability, oncogenes, tumor suppressor genes, signaling pathways involved in cancer, genomic cancer analysis and rational cancer therapies.
Cancer biology II (EN) The course covers in detail the interactions of cancer cells with their environment with an emphasis on tumor-angiogenesis, inflammation, adaptive and innate immunity and cancer-induced immune suppression. Additional topics are cancer metabolism, cancer stem cells and metastasis. Infection biology (EN) Infectious diseases (ID) are still a major problem to human health. But how do pathogens make us sick? How do they evolve and spread? The discovery and use of antibiotics and vaccination has changed the outcome of some IDs. But resistance mechanisms have evolved and are of major concern. Neuroscience: from molecular mechanisms to disease (EN) The goal of the course is to guide students through the essential aspects of molecular neuroscience and neurodegenerative diseases. The student will gain the ability to dissect the molecular basis of disease in the nervous system in order to begin to understand and identify therapeutic strategies. Neuroscience: cellular and circuit mechanisms (EN) This course focuses on the biophysical mechanisms of mammalian brain function. We will describe how neurons communicate through synaptic transmission in order to process sensory information ultimately leading to motor behavior. Neuroscience: behavior and cognition (EN) The goal is to guide students into the essential topics of Behavioral and Cognitive Neuroscience. The challenge for the student in this course is to integrate the diverse knowledge acquired from those levels of analysis into a more or less coherent understanding of brain structure and function. Scientific project design in translational oncology (EN) The theme of the course is the role of inflammation in cancer. It focuses on the regulation and multifaceted functions of tumor-associated inflammatory cells, and how they promote or oppose cancer. Entrepreneurship in life sciences (EN) Based on real-world examples, hypothetical or own inventions, students are provided with a skill set for translating scientific innovation into a convincing investor pitch (including a comprehensive slide deck on all relevant aspects) and applications for funding of a startup project New tools & research strategies in personalized health (EN) This course introduces the concept of personalized health, exploring its foundational technologies as well as the technological, legal, and ethical challenges the field currently faces. Strategies and approaches used to address these challenges will also be discussed. Scientific project design in integrative neurosciences (EN) In this course, students will investigate causal neuronal network mechanisms underlying sensory-guided decision-making in mice. Students will analyse published data to develop integrative neuroscience research projects including the design of new experiments to test specific falsifiable predictions. Concept to early-stage drug and medTech products (EN) This course explores how innovative drugs and medical devices reach the market, with biotech and medtech experts sharing real-world insights through interactive sessions.
Because these sessions rely on direct interaction with invited industry leaders, in-person attendance is mandatory. Entrepreneurship in food & nutrition science (EN) Students will learn how nutrition science & food technology is applied to develop food products & diets to optimize health. Examples & case studies will cover novel food technologies, nutrition research on diet, macronutrients & bioactive ingredients, and regulatory & safety requirements. Neural circuits of motivated behaviors (EN) Motivated behaviors fulfil the basic physiological needs of animals and enable their safety. In this course, you will learn about the neuronal circuits that sense and regulate internal states, detect dangers in the environment, and organize appropriate behavioral responses. Ethics for life sciences engineers (EN) The decisions that life science engineers make can have profound impacts on other people, on society, and on the environment. It is important, therefore, to be aware of the potential effects of decisions, and to have a set of ethical principles and analytical tools to make good ethical decisions. IGEM (EN) An interdisciplinary EPFL student team will design and build genetic circuits with novel functionalities. Students learn to develop a project and carry it out to completion in a concrete manner. Their creativity and critical thinking are highly encouraged. IGEM lab (EN) An interdisciplinary EPFL student team will design and build genetic circuits with novel functionalities. Students learn to develop a project and carry it out to completion in a concrete manner. Their creativity and critical thinking are highly encouraged. Digital epidemiology (EN) Epidemiology is foundational to medicine and public health. This course starts with the key principles of classical epidemiology, progressing through computational modeling techniques, and concluding with the digital approaches of today. Students will also develop a digital epidemiology prototype. Practical – Ablasser Lab (EN) Pattern recognition pathways in innate immunity.
The course aims to teach students about approaches to study mechanisms of innate immune recognition of pathogens. Practical – Barth Lab (EN) This course will convey the concepts and experimental techniques for studying the signal transduction mediated by receptors across biological membranes. Practical – Oricchio Lab (EN) Training in hemato-oncology.
Analysis and genetic manipulation of hematopoietic progenitor cells.
Morphological recognition of main hematopoietic lineages. Practical – Persat Lab (EN) The student will learn how to:
– perform high resolution microscopy of single bacterial cells
– perform a motility assay
– operate high resolution microscope
– analyze image data Practical – Stahlberg Lab (EN) Cryo-electron microscopy structural analysis of proteins. The course aims at demonstrating the workflow from sample purification to determining the atomic structure of a soluble or membrane protein. Practical – Schoonjans Lab (EN) Bile acid signaling. Investigate GPCR-mediated effects of bile acids on mitochondrial function and dynamics. Practical – Tang Lab (EN) In this course, the students will learn the basics skills in cancer immunotherapy and immunoengineering.
Open to 4 students. Practical – Brisken Lab (EN)
Breast development and cancer.
Learn about experimental approaches to study Breast Development and Breast Cancer. Practical – Constam Lab (EN) Primary cilia have emerged as an important organelle of cells to sense environmental cues that control embryogenesis and adult renal tubule and liver bile duct homoestasis. This course focuses on functional analysis of molecules implicated in signal transduction of fluid flow-sensing cilia. Practical – Antanasijevic Lab (EN) The students will learn:
1) how to handle viral protein antigens and antibody samples
2) how to assemble and purify immune complexes using liquid chromatography
3) how to image them on an electron microscope Practical – Karthaus Lab (EN) Students will learn
1) how organoids can be used in biomedical research
2) How to perform organoid culture
3) How to perform basic genetic manipulations Practical – Gönczy Lab (EN) Give students a feel for some of the approaches pursued to understand mechanisms underlying cell division processes, primarily in C. elegans embryos but also in other systems, including human cells in culture. Practical – Schuhmacher Lab (EN) It’s all about the lipids: We use a chemical biology approach to answer outstanding questions in membrane biology.
We show you how to use our lipid tools that allow you to manipulate lipid concentrations and visualize them in cells. Practical – Goemans Lab (EN) The students will get practical experience in
(i) how to cultivate diverse bacteria
(ii) how to treat them with antibiotics or
(iii) with bacteriophages that they will isolate themselves from the environment. Practical – Thomä Lab (EN) Expression and purification of recombinant proteins are key methods in our lab studying protein machines on a structural level and ways in which they can be reprogrammed by small molecules. In the course, we will express and purify proteins and biophysically characterise them. Practical – Zenk Lab (EN) You will learn to prepare single nuclei suspensions from organoid and use them to generate chromatin accessibility (ATAC) or CUT&Tag sequencing libraries to probe the epigenetic landscape during development.
You will also learn how to perform basic analysis and compare
between samples. Practical – Gallini Lab (EN) This course explores how stem cell fate and behaviors are regulated in the skin epithelium during homeostasis, injury, and tumorigenesis. Students gain knowledge of skin biology and experience with ex vivo approaches to study cell behaviors required to maintain or restore barrier function. Practical – Radtke Lab (EN) Self renewing organs.
Flow Cytometry as tools for the analysis of the hematopoietic system. Practical – Merten Lab (EN) Learn how to design & perform microfluidic droplet experiments for single-cell encapsulation. Through hands-on work, gain experience with chip operation, droplet generation & fluorescent signal acquisition. Introduction to single-cell genomics workflows & their integration with microfluidic technol. Practical – Waszak Lab (EN) Introduction to imaging-based single-cell genomics and computational methods for single-cell image analysis. Building Brain Resilience Synapsy Symposium (EN) This symposium brings together leading experts in the fields of resilience to life stressors and resilience to cognitive decline. Topics will include allostasis, plasticity and adaptation across body systems, as well as cognitive reserve, brain maintenance and mechanisms related to dementia risk. Practical – Lemaitre Lab (EN) Drosophila immunity.
Give students a feel for some of the approaches pursued to understand mechanisms underlying cell division innate immunity in Drosophila. Practical – D’Angelo Lab (EN) Cells produce thousands of lipids that impact biological processes in ways we are only starting to characterize. In this course we will introduce MALDI imaging mass spectrometry to study lipid composition in a space resolved fashion. Practical – Van der Goot Lab (EN) Membrane organization.
Investigate the compartmentalisation of biological membranes: what are the determinants of the localization of transmembrane proteins in the 2 dimensional space of the membranes? Integrative structural biology for Life sciences (EN) Hands-on course in Biomolecular Integrative Structural Biology by SV experts in the field of X-ray crystallography, cryo-Electron Microscopy, Bio-NMR and protein modeling tools. No previous knowledge in Structural Biology or Bioinformatics is required. Research Data Management in Life Sciences (EN) Introduction to Research Data Management in Life Sciences, covering data organization, documentation, workflows, publication, FAIR principles, tools, and best practices. Includes hands-on activities to improve and optimize participants’ own data management workflows (used for evaluation) Sustainable lab practices for life sciences (EN) This course equips researchers to assess and reduce the environmental impact of laboratory research. Through lectures, workshops, and project work, participants learn to measure their lab’s carbon footprint, apply sustainability frameworks, and lead metric-driven sustainability initiatives. Advanced Microscopy for Life Science (EN) For further information, please get in contact with the instructor or have a look on the following web-site: http://biop.epfl.ch/ Responsible Conduct in Biomedical Research (Fall) (EN) Responsible Conduct in Biomedical Research Responsible Conduct in Biomedical Research (Spring) (EN) Responsible Conduct in Biomedical Research Practical – Blokesch Lab (EN) How to look at tiny things: visualizing bacteria using epifluorescence microscopy. Practical – Huelsken Lab (EDMS) (EN) Assessment of signaling mechanisms in cancer.
The objectives of the course are:
– to understand the importance of signaling and cell-cell interactions in cancer stroma interactions
– to learn techniques involved in assessing the function of such interactions in vitro and in vivo. Practical – Suter Lab (EN) Bioluminescence imaging and data analysis Splinkerette PCR (to analyze genomic insertion site of a transgene).
The students will obtain theoretical and practical insight into embryonic stem cell biology and the study of gene expression fluctuations in single cells.
Practical – De Palma Lab (EN) Cell heterogeneity in the tumor microenvironment. Scientific writing for biomedical articles (Fall) (EN) The course is highly recommended for its excellent quality. Researchers will be apt to write a clear, well-structured article. We aim to make researchers aware of good writing and help them to face their writing with confidence. Scientific writing for biomedical articles (Spring) (EN) Researchers will be apt to write a clear, well-structured article. The aim is to make researchers aware of good writing and help them grow confidence in getting feedback and improve their text. Engineering of musculoskeletal system and rehabilitation (EN) This course presents today research questions and methods associated to the musculoskeletal system, its pathologies, and treatment. Bioinformatic Analysis of RNA-sequencing (Fall) (FR) Bioinformatic Analysis of RNA-sequencing (Spring) (EN) This course will take place at EPFL in June 2026, from 8th to 12th, in room AAC 137.
It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers students to understand and analyze their own data. Image Processing for Life Science (EN) Registration details will be announced via email. It takes place yearly from Sept./October to December & intends to teach image processing with a strong emphasis of applications in life sciences. The idea is to enable the participants to solve image-processing questions via workflows independently. Training Rotation (EDNE) (EN) Training Rotation on the EPFL Campus during the 1st year of a PhD. 1,2 or 3 months are possible. Training Rotation (EDNE) (EN) Training Rotation on the EPFL Campus during the 1st year of a PhD. 1,2 or 3 months are possible. Recombinant protein expression in animal cells for appli-cations in medicine and structural biology (EN) Cultivated animal cells are important hosts for the production of recombinant proteins for biochemical and structural studies and for use as therapeutics. The course will provide an overview of the methods for the production and characterization of recombinant proteins. From data to paper: science communication to peers (EN) Participants will learn how to transform their data into clear scientific output for peers. Across three half-day sessions, they will work in an interactive setting on the main steps linking data, figures, paper structure and poster presentation. Mechanisms of cell motility (EN) Mechanisms of cell motility General Biology (FR) The purpose of the course is to provide a general overview of the biology of cells and organisms. We will discuss this in the context of cell and organ life, focusing on the regulatory principles you will encounter in your biology studies. Biological data science I: statistical learning (EN) Processing, analyzing, and interpreting large biological datasets is an essential skill for modern biologists. This course aims to provide the theoretical foundations, analytical techniques, and software tools necessary to effectively manage and derive insights from biological data. Neuroscience foundations for engineers (EN) This overview course bridges computational expertise with neuroscience fundamentals, aimed at fostering
interdisciplinary communication and collaboration for engineering-based neuroscience programs. Fluid mechanics (for SV) (EN) This introductory course on fluids mechanics presents the basics concepts in fluids statics, dynamics and kinematics. From light to life: optics and imaging in biology (EN) This course introduces the principles of optics underlying modern biological imaging. Students learn how light interacts with matter, how optical systems form images, and how advanced fluorescence and super-resolution microscopy enable discoveries in biology and molecular medicine. Synthetic biology (EN) This advanced Bachelor/Master level course will cover fundamentals and approaches at the interface of biology, chemistry, engineering and computer science for diverse fields of synthetic biology. This class requires critical and analytical thinking at the frontiers of multiple disciplines Immunoengineering (EN) Immunoengineering is an emerging field where engineering principles are grounded in immunology. This course provides students a broad overview of how engineering approaches can be utilized to study immunology, model immune systems, modulate immune response, and develop novel immunotherapies. Single cell biology (EN) The students are exposed to experimental and analytical approaches specific to single cell biology, with an emphasis on quantitative aspects. Basics in bioinstrumentation (EN) This combined practical and theoretical course will provide the basics in bioinstrumentation, including the construction of a droplet-microfluidic workstation for high-throughput, single-cell analysis. Many of the learned concepts are equally applicable to other widely used lab instruments. Selected topics in life sciences (EN) This course explores advances at the intersection of biology, biotech, engineering, and medicine. Through lectures, projects, and expert talks, students examine research transforming healthcare, tackling global health issues, and raising ethical and societal questions. Biomedical optics (EN) This course addresses the principles governing the interactions between light and biological tissue, their optical properties and basic concepts of radiometry. Illustrative diagnostic and therapeutic applications of light in medicine and photobiology will also be described. Scientific literature analysis in neurobiology (EN) The goal of this course is to learn to analyze a scientific paper critically, question if the data support the conclusions, and produce constructive referee reports in written or oral form. The papers considered will give an overview of the field of developmental neurobiology. Next-generation biomaterials (EN) “Next-Generation Biomaterials” explores the latest advancements in the development and application of cutting-edge biomaterials for medical and healthcare innovation. Methods: from disease models to therapy (EN) This course will describe methods underlying translational approaches from disease modeling and characterization to therapeutic applications. The presented techniques will be complemented by hands-on rotations in the technological platforms of the School of Life Sciences. Methods: omics in biomedical research (EN) High-throughput methodologies broadly called Omics allow to characterize the complexity and dynamics of any biological system. This course will provide a general description of different methods related to the Omics field followed by hands-on rotations in participating technological platforms. Monthly IBI-EDBB Mini-symposia (EN) To expose EDBB students to research in Bioengineering through attendance of lecture series given by EDBB students and external speakers. The objectives are to broaden the knowledge of students in the field of Bioengineering and expose them to the diversity of studies in the IBI community. Let’s experiment (EN) Before you step into the lab to do an experiment, you have a long list of questions: How do I design an experiment that will give a clear answer to my question? What model system should I use? What are my controls? What’s an ideal sample size? How can I tell if the experiment worked? Sharing your research (EN) Giving a research talk (say, at a conference, to your department or in your research group meeting) is a really important part of a scientist’s career. This course is designed for anyone who will be giving research-based scientific talks in the future. Writing for science (EN) The goal of the course is to develop effective writing skills for academic and professional contexts. Planning your scientific journey (EDBB) (EN) Planning Your Scientific Journey: Being successful as a scientist requires more than acquiring knowledge and developing experimental skills. It also requires: (1) asking a good scientific question, (2) establishing a clear plan of action, and (3) seeking advice along the way. EDCB seminar series (EN) The EDCB seminar series provides EDCB students the opportunity to share their research and learn from their peers. Students can freely exchange, present data, ideas and get useful feedback on ongoing research and improve communication skills. BioEngineering Student Seminar Series (EN) To expose EDBB students to research in Bioengineering through attendance of lecture series given by EDBB students and external speakers. The objectives are to broaden the knowledge of students in the field of Bioengineering and expose them to the diversity of studies in the IBI community. General chemistry for SV (EN) This course covers essential notions in general chemistry, relative to matter and its structure, equilibriums and chemical reactions, for life science students. The lectures and exercise sessions provide the knowledge and methodology required to solve general chemistry exercises. Chemistry Laboratory Work I (FR) The student will learn how to work in a chemistry laboratory. He/she will acquire a quantitative and/or qualitative approach. TP carried out are in relation to the courses of chemistry and will be followed by a second part “TP2”. Chemistry Laboratory Work II (FR) Introduction to basic manipulations in general, inorganic and analytical chemistry.
Introduction to classical quantitative analysis. Learn to carry out quantitative analysis.
General principles of the classical quantitative analysis.
Advanced general chemistry I (FR) This course comprises of two parts. The bases of the thermodynamics of equilibria and of the kinetics of reactions are introduced. The first notions of quantum chemistry on electrons and bonds, exemplified in organic chemistry, are presented in the second part. Advanced general chemistry II (FR) Fundamental knowledge on the reactivity of organic compounds and their identification by mass spectrometry, IR spectroscopy and nuclear magnetic resonance. Advanced general chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. Advanced general chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. General chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. Practical programming in Chemistry (EN) This course offers a comprehensive, practical introduction to computer programming tailored for chemists and chemical engineers. Python is the main language used throughout the course. Biochemistry (FR) Basic concepts in biochemistry as well as biochemical components of organisms such as proteins, DNA, carbohydrates and lipids are discussed. Preparative chemistry I (FR) Apply basic reactivity in organic chemistry to the multi-step synthesis of polyfunctional molecules. Instruction on safety regulation in laboratories of chemical synthesis. Instruction on the planification and monitoring of simple synthetic pathways. Chemistry of elements s and p (EN) Introduction to the chemistry of the s & p elements of the periodic table. Coordination chemistry (EN) Fundamental knowledge of coordination compounds. Organometallic chemistry (EN) Basic organometallic chemistry will be covered in this course.
1. Structure and bonding in organometallic compounds.
2. reactivity of organometallic compounds, stoichiometric reactions, catalyzed reactions and reaction mechanisms. Organic chemistry laboratory Work (FR) Purification methods (distillation, crystallization, chromatography), simple organic syntheses: bromination, reduction, acylation, imine, nitration, Grignard, Reformatsky)
Acquisition of knowledge on the chemical hazards and how to protect ourself. Knowledge of legal commitments. Organic functions and reactions I (FR) The course will focus on the reactivity of carbonyl compounds: their structure, reactivity and transformations; the reaction of enols/enolates. The understanding of reaction mechanisms, chemo-, regio- and stereo-selectivities will be emphasized. Organic functions and reactions II (EN) To develop basic understanding of the reactivity of aromatic and heteroaromatic compounds. To develop a knowledge of a class of pericyclic reactions. To apply them in the context of the synthesis. Statistical mechanics for chemistry (FR) This course builds the universal theoretical basis for the understanding of many particle systems. The introduced methods are used to illuminate various phenomena across chemistry. Electrochemistry of solutions (FR) Students integrate the concepts of electric potentials, the Fermi level of the electron and apply the Nernst equation. They understand the structure of an electrified interface. Electrochemical generators, electrolysis and the basics of amperometry are presented. Quantum chemistry (EN) Introduction to Quantum Mechanics with examples related to chemistry Mathematical methods in chemistry (EN) This course consists of two parts. The first part covers basic concepts of molecular symmetry and the application of group theory to describe it. The second part introduces Laplace transforms and Fourier series and their use for solving ordinary and partial differential equations in chemistry & c.e. Analytical separation methods (FR) Students understand the physico-chemical principles of chromatographic and electrophoretic separation methods Experimental analytical chemistry (FR) This laboratory work aims to illustrate the analytical separation methods course as well as to accustom the students with the qualitative and quantitative aspects of analytical chemistry.
The number of proposed experiments depend on the number of incoming students. Dynamics and kinetics (EN) The course covers the principles of chemical kinetics, including differential rate laws, derivation of exact and approximate integral rate laws for common elementary and composite reactions, fundamentals of collision and transition state theories, and applications such as enzymatic catalysis. Macromolecular structure and interactions (EN) This course covers the basic biophysical principles governing the thermodynamic and kinetic properties of biomacromolecules involved in chemical processes of life.
The course is held in English. Dynamics of biomolecular processes (EN) In this course we will discuss advanced biophysical topics, building on the framework established in the course “Macromolecular structure and interactions”. The course is held in English. Chemical biology (EN) Chemical Biology is an interdisciplinary field using chemical principles and techniques to analyse and manipulate biological systems. It relies on small-molecule chemicals to gain an in-depth understanding of biology, and provides new tools and products ranging from basic research to therapeutics. Structural analysis (EN) The aim of this course is to treat three of the major techniques for structural characterization of molecules used in chemistry and chemical engineering: mass spectrometry, NMR, and X-ray techniques. Modeling lab (EN) In this course we give a hands-on introduction on the use of modeling and data in chemistry. After an introduction in the different tools used by computational chemists, we discuss three topics in more detail molecular simulation of adsorption, data in chemistry, and machine learning. Drug discovery and development (EN) This course discusses the molecular basis of diseases and how drugs work. Concepts and processes employed in today’s drug discovery and development are covered. The first part of the course focuses on small molecule drugs and the second one on biotherapeutics. Experimental biochemistry and biophysics (EN) A seven-week laboratory course (4 h+8 h per week) in which students construct, modify and screen microbial sensor strains from defined DNA parts. Proteins are heterologously expressed and purified, then characterized biochemically and spectroscopically. Final reporting in scientific article format. Preparative chemistry II (FR) Advanced chemistry laboratory
Admission to the TP is conditional on the successful completion of 2 of the 3 courses: CH-222 Coordination chemistry, CH-223 Organometallic chemistry, CH-233 Fonctions et réactions organiques Medicinal chemistry (EN) This course introduces medicinal chemistry: how small molecules are designed and optimised to become medicines, covering principles of molecular recognition, pharmacokinetics, and drug design alongside selected therapeutic examples and emerging modalities. Asymmetric synthesis and retrosynthesis (EN) The first part of the course presents the classical methods of asymmetric synthesis. The second part of the course introduces retrosynthesis strategies based on the disconnection approach. Methods in spectroscopy and dynamics (EN) We will review modern technique for the determination of structure and dynamics in chemistry.
Recent developments in spectroscopy as well as methods that target the fundamentals of chemical reactions will be discussed, and applications will be studied. Spectroscopy (EN) Introduction into optical spectroscopy of molecules Experimental physical chemistry (EN) Experiments related to physical chemistry courses. Molecular dynamics and Monte-Carlo simulation (EN) Introduction to molecular dynamics and Monte-Carlo simulation methods. Introduction to cheminformatics (FR) Introduction to the management of chemical information and the main tools used. Introduction to electronic structure methods (EN) Repetition of the basic concepts of quantum mechanics and main numerical algorithms used for practical implementions. Basic principles of electronic structure methods:Hartree-Fock, many body perturbation theory, configuration interaction, coupled-cluster theory, density functional theory. Project of Computational chemistry (FR) This course exploits modern computational tools in a research project aiming at resolving a chemistry problem by group of two students. Automated and data-driven laboratories (EN) In this course, taught by experts from the Swiss CAT+ West Hub, students will be introduced to key concepts in automation and data-driven chemistry. Using real-world cases, students will learn the theoretical skills and practical tools needed to automate a laboratory.
Advanced nuclear magnetic resonance (EN) Principles of Magnetic Resonance Imaging (MRI) and applications to medical imaging. Principles of modern multi-dimensional NMR in liquids and solids. Structure determination of proteins & materials. Measurement of molecular dynamics. Principles of Hyperpolarization Sustainable chemistry and engineering in Industry (EN) In the course given by experts from the Swiss Chemical industry, the students will be introduced in key concepts of sustainable chemistry and chemical engineering of industrial relevance. They will be able to learn from real hands-on problems and to better understand the challenges faced in industry Physical and chemical analyses of materials (EN) This course will cover the fundamentals and practical aspects of advanced material characterization methods, with a focus on inorganic materials. Students will become familiar with spectroscopy and electron microscopy techniques. Nanobiotechnology (EN) This course concerns modern bioanalytical techniques to investigate biomolecules both in vitro and in vivo, including recent methods to image, track and manipulate single molecules. We cover the basic principles of the respective methods and discuss examples from the current scientific literature. Optical methods in chemistry (EN) Introduction and application of photon based tools for chemical sciences: from basic concepts to optical and x-ray lasers
Protein mass spectrometry and proteomics (EN) In systems biology, proteomics represents an essential pillar. The understanding of protein function and regulation provides key information to decipher the complexity of living systems. Proteomic technology now enables deep quantitative proteome mapping via mass spectrometry. Understanding advanced molecular simulation (EN) This course introduces advanced molecular simulation techniques such as Monte Carlo and Molecular dynamics in different ensembles, free energy calculations, rare events, Configurational-bias Monte Carlo etc. Catalysis for energy storage (EN) This course covers the fundamental and applied aspects of electrocatalysis related to renewable energy conversion and storage. The focus is on catalysis for hydrogen evolution, oxygen evolution, and CO2 reduction reactions. Both homogeneous and heterogeneous catalysts are discussed. Catalyst design for synthesis (EN) This course on homogeneous catalysis provide a detailed understanding of how these catalysts work at a mechanistic level and give examples of catalyst design for important reactions (hydrogenation, olefin metathesis, cross-coupling). Supramolecular chemistry (EN) The course provides an introduction to supramolecular chemistry. In addition, current trends are discussed using recent publications in this area. Energy conversion by semiconductor devices (EN) This course aims to present an introduction to the fundamentals of semiconductor physics, photophysics,photoelectrochemistry,and the practical applications. Physical and computational organic chemistry (EN) This course introduces modern computational electronic structure methods and their broad applications to organic chemistry. It also discusses physical organic concepts to illustrate the stability of organic molecules. Brief exposures to data-driven computational chemistry are also proposed. Structure and reactivity (EN) To develop a detailed knowledge of the key steps of advanced modern organic synthesis going beyond classical chemistry of olefins and carbonyls. Asymmetric catalysis for fine chemicals synthesis (EN) The asymmetric synthesis of fine chemicals is a research topic of growing importance for the synthesis of modern materials, drugs and agrochemicals. In this lecture, the concepts of asymmetric catalysis for fine chemical synthesis are introduced. Total synthesis of natural products (EN) Complex polycyclic natural products are chosen to illustrate the evolution of the state-of-the-art of the field, the interplay between strategy and new reactions as well as the importance of implementing multi-bond forming processes in a synthesis. Photochemistry (EN) This course covers the theoretical bases of electronic spectroscopy and molecular photophysics. The principles of the reactivity of excited states of molecules and solids under irradiation are detailed. Finally, the main classes of industrial and natural photo-chemical processes are described. Solid state chemistry and energy applications (EN) You will learn about the bonding and structure of several important families of solid state materials. You will gain insight into common synthetic and characterization methods and learn about the applicability of several classes of materials in energy relevant applications. Computational methods in molecular quantum mechanics (EN) This course will discuss the main methods for the simulation of quantum time dependent properties for molecular systems. Basic notions of density functional theory will be covered. An introduction to simulating nuclear quantum effects for adiabatic and non adiabatic dynamics will be provided. Molecular quantum dynamics (EN) The course covers several exact, approximate, and numerical methods to solve the time-dependent molecular Schrödinger equation, and applications including calculations of molecular electronic spectra. More advanced topics include introduction to the semiclassical methods and Feynman path integral. Methods in drug development (EN) The course discusses methods in modern drug development. Each week, a short introduction to a drug development method / field is provided and a recent research paper is discussed in depth. Students particiate in presenting and discussing the research publications. AI for chemistry (EN) The AI for Chemistry course will focus on teaching students how to use machine learning algorithms and techniques to analyze and make predictions about chemical data. The course will cover topics such as the basics of machine learning, common algorithms and their applications in chemistry. Nanofluidics (EN) This course introduces the modern theoretical tools that underpin the understanding of solid-liquid interfaces and fluid flows through nanometer-scale openings. Sustainable chemicals manufacture: concepts/tools (EN) This course introduces the foundational concepts and tools of Safe and Sustainable by Design (SSbD), a forward-looking framework for the development of future chemicals and materials. It also offers insights into relevant regulatory and industry frameworks at the Swiss, EU, and global levels. Basic and advanced NMR – Level 1 A (EPFL) (EN) Basic theoretical and experimental aspects of NMR will be taught. Students will be familarized with modern NMR spectrometers. Basic and advanced NMR – Level 1 B (Sion) (EN) Basic theoretical and experimental aspects of NMR.
Students will be familarized with modern NMR spectrometers. Basic principles of drug action at the cardiovascular system (EN) The aim of this course is two-fold:
– to describe the molecular properties of some important drug targets
– to illustrate some applications of drugs active at the nervous and cardiovascular systems. Basic principles of drug action at the nervous system (EN) The aim of this course is two-fold:
i) to describe the molecular properties of some important drug targets
ii) to illustrate some applications of drugs active at the nervous system Medicinal chemistry: concepts and case studies from the pharmaceutical industry (EN) We will cover key concepts of Medicinal Chemistry, from identification of active chemical starting points to how they are optimized to deliver drug candidates. We will use real case studies from the pharmaceutical industry. Students will design compounds to solve Medicinal Chemistry problems. Inorganic chemistry “Fundamentals and properties” (EN) To present and discuss important recent contributions in the field of inorganic chemistry with an emphasis on fundamental aspects and properties.Literature seminars based on selected publications,emanating from the last 12 months, preceded by introduction and followed by a group discussion. Inorganic chemistry “Techniques and methods” (EN) To present and discuss important recent contributions in the field of inorganic chemistry incorporating techniques and methods. Student literature seminars based on selected publications,emanating from the last 12 months. Seminar preceded by introduction to the topic followed by group discussion. Efficient Synthetic Routes Towards Bioactive Molecules (EN) Natural Products, Disconnection approach, Synthetic efficiency Synergism between Art of Total Synthesis and High Level Strategic Design (MOM) (EN) Retro-synthessis, Total Synthesis, Atom-economy Chemosensory receptors: Applications for biosensors and medical therapies (EN) The course aims at providing insight into the cellular and molecular basis of smell and taste with specific emphasis on how molecules are detected by these chemosensory systems. Frontiers in Sustainable Chemical Synthesis (EN) The students will become familiar with the most recent progress in sustainable synthetic chemistry, covering a broad rang of topics such as catalysis, heterocyclic chemistry, stereoselective synthesis and new synthetic tools. Drug Discovery (EN) The course gives an overview of drug discovery. Computational methods in drug design and discovery, including methods for free energy and residence time, drug-target interactions, pharmacodynamics, pharmacokinetics, and drug delivery,biophysical methods, interaction including ITC, SPR, MST, and NMR. Principles and Applications of X-ray Diffraction (EN) Basic theoretical aspects of Crystallography and the interaction between X-ray radiation and matter. Experimental aspects of materials-oriented powder and single crystal diffraction. Familiarization with modern X-ray diffractometers. Advanced Solid State and Surface Characterization (EN) State-of-the-art surface/thin film characterization methods of polycrystalline/nano/amorphous materials. Selected topics from X-ray scattering (SAXS/GISAXS, PDF, GIWAXS, HRXRD), electronic and optical spectroscopy (XPS, AES, SERS, TERS), scanning probe and electron microscopy (STM, AFM, HRTEM, SEM). Chemical Probes for Imaging in Biology (EN) The goal of this course is to provide an overview on recent developments in the design and synthesis of fluorescent and bioluminescent probes for applications in basic research and medicine. Through the discussion of recently published advances, general design principles will be reviewed and criteri Chemical Biology Seminar Series 1 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers Chemical Biology Seminar Series 2 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers. Chemical Biology Seminar Series 3 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 8 to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers. Modern Organic chemistry-Highlights in the field (EN) Total synthesis, Natural product, Green chemistry, nantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Modern Organic chemistry-Trends in the field (EN) Total synthesis, Natural product, Green chemistry,Enantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Modern Organic chemistry-Success stories (EN) Total synthesis, Natural product, Green chemistry, nantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Physical Chemistry Seminar 1: Trends (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Physical Chemistry Seminar 2: Highlights (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Physical Chemistry Seminar 3: Frontiers (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Basic and advanced NMR – Level 2 (EPFL) (EN) The goal is to give a sound theoretical and practical foundation in NMR for various applications in research. PhD students and post-docs who have followed the course successfully should be able to perform modern multi-dimensional NMR experiments independently. Inorganic chemistry “Applications and spin-offs” (EN) Present and discuss important recent contributions in the field of inorganic chemistry. This will be achieved by student literature seminars based on selected publications,emanating from the last 12 months. Seminar preceded by an introduction to the topic and followed by a group discussion. Mass spectrometry, principles and applications (EN) The goal is to provide students with a complete overview of the principles and key applications of modern mass spectrometry and meet the current practical demand of EPFL researchers to improve structural analsis of molecules. Numerous instrumental aspects of mass spectrometry are described. Introduction to chemical engineering (EN) Introduction to Chemical Engineering is an introductory course that provides a basic overview of the chemical engineering field. It addresses the formulation and solution of material and energy balances by using the physical/chemical properties of materials. Introduction to chemical engineering Laboratory Works (FR) This course aims to expose the students to basic and modern processes/systems important to chemical engineers. Students perform experiments in groups, analyze results and use these to design industrial scale processes. Written and oral reports and laboratory performance are used for the final mark Introduction to transport phenomena (EN) This course aims at understanding the basic equations behind macroscopic and microscopic transport phenomena (mass, heat and momentum). Energy systems engineering (EN) This course will provide a toolkit to students to understand and analyze sustainable energy systems. In addition, the main sustainable energy technologies will be introduced and their governing principles explained. Chemical engineering practice (FR) This course provides the students with practical experience with simple “unit operations” based on heat and mass transfer . The students develop the ability to scale-up laboratory results into the design of industrial-size components. Fundamentals of separation processes (EN) The course will cover fundamentals concepts of separation processes involving chemical equilibrium and mass transfer. Students will design separation processes widely used in the industry, for the separation of liquid mixtures, gas-liquid mixtures, and gas mixtures. Biochemical engineering (EN) This course introduces the basic principles of bioprocess engineering and highlights the similarities and differences with chemical engineering. Without going into the fundamentals, it proposes an overview of the techniques for fermentation as well as product purification (DownStream Processing) Numerical methods (EN) This course introduces students to modern computational and mathematical techniques for solving problems in chemistry and chemical engineering. The use of introduced numerical methods will be demonstrated using the Python programming language. Bioreactor modeling and simulation (EN) The course of Bioreactor modeling and simulation focuses on the principles of algorithmic design and analysis of
biochemical reactors. The application of these designed reactors would be in the production line of the of
pharmaceutical, biotech and chemical industries. Fluid mechanics and transport phenomena (EN) The concept of Shell balances, the Navier-Stokes equations and generalized differential balances equations for heat and mass transport are derived. These relations are applied to model systems. Integral balances are introduced in the context of boundary layers and transfer coefficients. The engineering of chemical reactions (FR) This course applies concepts from chemical kinetics and mass and energy balances to address chemical reaction engineering problems, with a focus on industrial applications. Students develop the ability to analyze and design chemical reactors of industrial importance.
Diffusion and mass transfer (EN) This course aims to provide an in-depth understanding of diffusion and mass transfer, an essential tool for the
chemical engineers. Heterogeneous reaction engineering (EN) The theoretical background and practical aspects of heterogeneous reactions including the basic knowledge of heterogeneous catalysis are introduced. The fundamentals are given to allow the design of multiphase chemical reactors.
Chemical engineering lab & project (EN) Familiarization with practical aspects encountered in chemical reaction engineering.
A research project is carried out along twelve weeks where a close interaction is required between the different groups.
Catalysis for emission control and energy processes (EN) The course is an introduction to heterogeneous catalysis for environmental protection and energy production. It focuses on catalytic exhaust gas cleaning as well as gaseous and liquid fuel production. The course content is intensified in experimental exercises in the lecturer’s laboratories. Principles and applications of systems biology (EN) The course introduces and develops the key concepts from systems biology and systems engineering in the context of complex biological networks. The lectures elaborate on techniques and methods to model and analyze complex biological problems. Chemical engineering product design (EN) Chemical product design has become more important because of major changes in the chemical industry. This course presents the basic method for chemical product design and gives direct practice to this procedure via a design project. Nanomaterials for chemical engineering application (EN) This course provides an overview on nanoparticle synthesis and their use in different energy-related applications. The first part of the course is more fundamental and chemistry oriented. The second part is more applied and chemical engineering oriented. The goal is to link the two aspects. Modern methods in polymer chemistry and sustainability (EN) This course provides an overview of modern developments in polymer chemistry, building on fundamental concepts introduced in MSE-437. Emphasis is placed on recycling and upcycling strategies for the polymer classes discussed. Biotechnology lab (for CGC) (EN) This laboratory-training course is designed to give students a comprehensive insight into laboratory research techniques in the field of biotechnology and pharmaceutical biotechnology with practices employed in the industry. Accompanying lectures provide the theoretical background.
Pharmaceutical biotechnology (EN) The course focuses on the development and application of biotechnology-based approaches to human diseases. It provides current information on the engineering and pharmaceutical production of highly specific therapeutic proteins, vaccines, and other important biologicals at an industrial scale. Bioprocesses and downstream processing (EN) This course aims at a more advanced coverage of the basic aspects discussed in module ChE-311. It is however of a stand-alone nature, and even students who have little knowledge on – but a keen interest in – (bio)process engineering shall benefit as well from this module. Process development (EN) Through a project, this course will introduce the critical steps in developing a chemical process in the context of industry decarbonisation, from the lab to industrial scale. Hands-on with Research Data Management in Chemistry (EN) PhD students in Chemistry will learn hands-on Research Data Management (RDM) skills transferable to their research practices. They will
contextualize their research into RDM best practices (day 1), discover appropriate tools (day 2) and work on a project (day 3) for the course
accreditation Automated analytical and synthetic chemistry 1 (EN) The course gives a general understanding of lab automation theory and practical knowledge. It is structured to integrate theoretical foundations, hands-on practical exercises (e.g., Arduino programming), and individualized project analysis. AI in chemistry and beyond:Highlights in the field (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based
algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential
of these methods and their applications AI in chemistry and beyond: Trends in the field (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential of these methods and their applications. AI in chemistry and beyond: Success stories (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential
of these methods and their applications. Highlights energy research and chemical engineering 1 (EN) Synthesis and design of materials for sustainable energ.This seminar series will invite leading researchers from academia, industry, or government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the performance metrics of material. Highlights energy research and chemical engineering 2 (EN) Synthesis and design of materials for sustainable energy.This seminar series will invite leading researchers from academia, industry, or
government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the
performance metrics of material Highlights energy research and chemical engineering 3 (EN) Synthesis and design of materials for sustainable energ.This seminar series will invite leading researchers from academia, industry, or government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the performance metrics of material. Electron & energy transfer in organic & hybrid systems (EN) Electron and energy transfer processes are vital to biological functions. In synthetic molecular and hybrid systems, they are key to device efficiency. Advances in understanding and control of these processes continue to drive innovation across scientific and technological fields. Statics (for GC) (FR) The aim of this course is to develop an understanding of static models of structures. It presents the study of the interplay of forces in isostatic constructions made up of bars, beams and cables. Programming and software development for engineers (EN) Python programming course to advance students’ existing programming skills and help write better software. The course will teach best practices and techniques such as refactoring, debugging, and unit testing. Introduction to structures (FR) This course presents the fundamental principles of structural behaviour: transmissioon of loads and forces through structural systemsâcables, arches, trusses, beams, and framesâand the concepts of equilibrium, stability, and siizing. Objective: understand link between forms, forces and materials Soil mechanics and flow through porous media (EN) The course introduces students to the fundamentals of the mechanics of soils and fluid-infiltrated
porous media. The first part is devoted to the constitutive behavior of soils in
dry conditions, while the second part accounts for the presence of pore water. Fluids mechanics (For GC) (FR) This course is an introduction to fluid mechanics. Physical properties of fluids and the conservation principles (mass and momentum) are presented. The second part of the course is devoted to applications to open-channel hydraulics and pipeline flows. Geology (FR) Civil engineers conduct their activities in constant interaction with the subsurface. The geology course provides students with the fundamental Geoscience knowledge necessary for well-integrated engineering within the context of our planet. Continuum mechanics (for GC) (FR) This fundamental class covers the notions of deformation and stress, as well as general conservation principles, equilibrium equations and constitutive laws. In the second part we will highlight applications in structural mechanics and introduce approximate methods. Introduction to machine learning for engineers (EN) Machine learning is a sub-field of Artificial Intelligence that allows computers to learn from data, identify patterns and make predictions. As a fundamental building block of the Computational Thinking education at EPFL, Civil students will learn ML with civil case studies (summary generated by ML) Design of steel structures (FR) This course deals with the fondamental and practical aspects of steel structures design. This includes the design of beams, columns, connections, frames, structural systems and stability problems. Structural mechanics (for GC) (EN) The course discusses the basic principles of structural mechanics, analyzing the performance of materials and structures against loading and focuses on the stress strain relationships and the effect of axial, bending, shear and torsional loadings on engineer structures. Structural Safety and Reliability (EN) The course introduces key concepts of structural safety and reliability, covering probability fundamentals, verification methods, structural actions, and time-dependent effects. Case studies link theoretical principles to reliable civil engineering design. Geotechnical engineering (FR) Students know the different types of geotechnical structure (foundation, retaining walls etc,) their design and construction techniques.
They are able to determine the different factors controlling the realisation of a geotechnical structure, and design these structures to satisfy the limit states. Numerical representation / BIM (FR) This course introduces the principles of the digital representation of structures in a BIM environment. It addresses the analysis, structuring, and use of the information contained in a digital building model. Rock mechanics (FR) The students understand the mechanical behaviour of rock materials, joints and rock masses, and are able to determine the factors conditioning civil engineering applications. They are able to use appropriate methods for carrying out analysis and design of tunnel excavation and support. Urban thermodynamics (EN) Urban neighborhoods are analyzed thermodynamically: heat exchange between buildings, vegetation, water, the ground, and people. Using CityTherm, the course’s own interactive web tool, students diagnose the Urban Heat Island effect, the role of urban form and materials, and mitigation strategies. Hydraulic Analysis and Design (EN) Water is vital for life but also a powerful natural force. Hydraulic engineering addresses the sustainable management of water for reliable supply, renewable energy, and protection from hazards. Introducing to the fundamentals of hydraulic analysis and the design of key hydraulic structures. Numerical modelling of solids and structures (FR) The numerical modeling of solids is presented with the finite element method. The purely analytical aspects are presented first, followed by the methods of interpolation, integration, and resolution of mechanical problems. Reinforced concrete structures (EN) This course introduces the student to the behaviour and design of reinforced concrete structures. The student will learn the principles of analysis of reinforced concrete and how to design common concrete elements including columns, beams, and slabs. Urban public transport systems (EN) An introduction to urban public transport systems. The lectures cover the planning, operation, and management problems of different types of public transport services, along with assignments strengthening the understanding of base models and the group project tackling real-world problems. Dimensioning of Timber structures (FR) This course will master the fundamental and practical aspects of the design of timber structures. It deals with beams, columns, assemblies, structural systems and stability problems. Data Science for infrastructure condition monitoring (EN) The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real data, feature engineering to developing suitable machine learning algorithms. Traffic engineering (EN) Introduce the major elements of transportation systems and traffic engineering: develop analytical and technical skills in applying the fundamentals of the transport field; understand the key concepts and physics of the transport phenomena;connect with real transportation problems and data analytics Introduction to transportation systems (EN) The course provides an introduction to the design and analysis of transportation systems for the mobility of people and goods. Construction contracts and liability (FR) This course provides future civil engineers at EPFL with the basic knowledge and skills in public law required to collaborate in the design and implementation of infrastructure and large-scale projects, particularly energy projects. Geomechanics (EN) The course covers engineering applications and challenges in geomechanics, including stress-strain behavior of geomaterials in variousconditions, triaxial testing,and constitutive frameworks for elasticity and plasticity.Practical insights are gained through workshops with geomechanics professionals Underground construction (EN) This course is addressed to students who want to deepen their knowledge of underground space and works, including planning, design and management, construction techniques and methods, risk assessment and environmental considerations. Energy and comfort in buildings (EN) The course presents the fundamentals of energy demand in buildings while emphasizing the need for the comfort and well-being of occupants. In addition, prioritizations and trade-offs between energy and comfort are discussed. Multiscale modelling in mechanics (EN) This course introduces the principles and techniques for modeling materials across
different spatial scales, from the level of atoms or grains to the continuum or structural
scale. Emphasis is placed on hierarchical upscaling (homogenization), while concurrent
techniques are also covered. Fluvial hydraulics and river engineering (EN) The course provides core principles of river engineering for planning and designing restoration and flood-protection measures, focusing on sediment transport, hydro-morphodynamics, flood hazard assessment, and common river-engineering structures. Dam engineering (EN) Dams are paramount for human development around the world. The course is an introduction to the fascinating domain of dam engineering, from design to construction, for water storage and regulated supply, including for renewable energy generation (hydropower), flood protection and drought prevention. Urban hydraulic systems (EN) Sustainable freshwater and urban drainage system are considered.
Fresh water: capture, reservoir and net.
Drainage: hydrology, sponge city, individual conduit and manhole hydraulics.
The integral rain water management and the legal frame are further key elements Design of precast concrete structures (EN) The course deals with the design of precast reinforced concrete structures, both for bridges and for buildings.
The course is focused in learning by projects supplemented by some lectures by the teachers.
The students will work in groups to design a precast structure. Future Urban Mobility Systems (EN) This course introduces future urban mobility systems from a data-driven perspective, covering mobility data ecosystems, sensing technologies, information extraction, traffic state and performance analysis, forecasting, control, active sensing, digital twins, and emerging smart-mobility applications. Computational geomechanics (EN) The goal of this course is to introduce the student to modern numerical methods for the solution of coupled & non-linear problems arising in geo-mechanics / geotechnical engineering. Innovation for construction and the environment (EN) The course delves into how innovation in construction, seen as an engineering process, progresses through steps and stages. It focuses on three main areas: (1) introducing new materials, (2) integrating digital systems, and (3) measuring sustainability and environmental impact. We’ll explore how Machine learning for predictive maintenance applications (EN) The course aims to develop machine learning algorithms capable of efficiently detecting faults in complex industrial and infrastructure assets, isolating their root causes, and ultimately predicting their remaining useful lifetime. Timber construction (EN) Help students understand and design innovative, architecturally and structurally interesting wood constructions. Deepen technical knowledge through the study of built examples. Risk analysis and management (FR) The course aims to train students in methods and tools allowing them to understand the issue of analysis and management of technological and natural risks in a well-founded and scientific manner, with attention paid to the field of Civil Engineering. Advanced composites in engineering structures (EN) 1.Introduce topics in properties, processing, mechanical behavior, characterization, analysis and structural design of Fiber Reinforced Composites
2.Help students develop their research skills through independent investigations on research topics Energy geostructures (EN) Energy geostructures are a technology that couples the structural role of foundations with the heating/cooling role of
geothermal heat exchangers. The goal of the course is to provide an understanding of the structural, geotechnical
and energy behaviour. Nonlinear analysis of structures (EN) This course deals with nonlinear modelling of structures under mechanical loading. Thermodynamics of comfort in buildings (EN) This course takes an experimental, human-centric approach to thermal comfort. Through laboratory measurements and thermodynamic analysis, students characterize the indoor thermal environment and its coupling with human thermoregulation, informing occupant-centered building design. Mobility engineering (FR) Analyze and diagnose a situation from the urban planning and mobility points of view. Define strategies for achieving these objectives. Development of the most promising concepts. Fundamentals of traffic operations and control (EN) The objectives of this course are to present the major elements of traffic operations and to develop basic skills in applying the fundamentals of traffic analysis and control. Students should be able to start applying these skills to model different aspects of congestion in urban systems. Indoor air quality and ventilation (EN) This course covers the fundamentals of indoor air quality and ventilation strategies for optimal building air quality. Through lectures, discussions, modeling software, a hands-on group project, students explore indoor air pollutants, their properties, emission sources, and control mechanisms. Design and construction of roadways (FR) This course provides students with a thorough understanding of the principles and fundamentals of transportation route design (road and rail infrastructure). It covers the fundamentals of project planning, geometry, traffic safety, materials used, construction techniques, and the sizing of structura Design and innovation (EN) The course offers the opportunity to gain practical experience in the characterization of fiber reinforced polymer and manufacturing/production methods for composite structures.
The material is presented by lectures and visits to the laboratory. This is mainly a project based – hands on course. Water resources engineering and management (EN) The course focuses on designing and managing water systems to ensure sustainable use for both human and environmental needs. Engineering aspects:water quantity, quality, timing, distribution. Management: economic evaluation of water systems in the context of global changes and financial constraints. Dynamics of structures (EN) Dynamics loads on structures, equations of motion of linear single- and multiple-degree-of freedom systems; free an forced vibrations; damping in structures: modal superposition and response history analysis, earthquake effects Hydropower schemes and pumped-storage (EN) The course deals with the conception and design of hydraulic structures used for production and/or storage of electric energy, including pumped hydro energy storage (PHES).
We also discuss their technical/social/economical/environmental feasibility in the Swiss/European/Global energy transition. Transportation network modeling & analysis (EN) This course introduces the classics and new advances in transportation network modeling and optimization. The course cover key concepts, behavioral principles, model formulations and solution approached used in traffic assignment and travel demand management. Design and assessment of concrete bridges (EN) The course focuses on the conceptual and detailed design of reinforced and prestressed concrete bridges. The first part covers the history and provides an introduction to bridge engineering. The second part covers the detailed design of the superstructure and substructure of bridges. Design of steel-concrete composite bridges (EN) Design and analysis of steel and steel-concrete composite bridges; Railway and Pedestrian bridges; arch bridges; Shear resistance and resistance against combined loads; Fatigue design; Stability of members; Composite and Long term effects; Corrosion protection; Weathering steels and coatings Sustainable bituminous materials (EN) The course covers materials and technologies for sustainable asphalt pavements, including asphalt design, recycling, as well as recent innovations like carbon-negative and low-temperature asphalt. Students gain skills to evaluate these solutions and oversee their implementation. Integrated Decision-Making for Buildings (EN) This course addresses low-carbon buildings as a problem of integrated decision-making. Through cases, debates, and decision exercises, students learn to justify decisions at the energy-material nexus, navigating trade-offs, uncertainty, and competing technical, economic, and societal objectives. Rock mass characterization for engineering design (EN) This course advances geomechanics knowledge, focusing on lab tests, in situ & geophysical investigations for interpreting geotechnical projects. Practical modules cover rock physics, mechanics, borehole & subsurface geophysics. Analysis of hyperstatic structures (EN) This course provides the foundation for understanding how hyperstatic structures deform and carry loads under a variety of loading conditions. Beyond analytical methods, it emphasizes the development of physical intuition of internal force distributions and verification on numerical results. Engineering of existing structures (EN) The engineering of existing structures encompasses the examination of condition and load-carrying capacity, decision criteria, and methods for rehabilitation or strengthening. This course presents the bases necessary for this approach at the level of materials and structural response. Reinforced concrete structures – advanced topics (EN) This course will focus on advanced behavioural modelling of reinforced concrete through analytical and numerical methods. It will build on previous studies to further the student’s understanding of the mechanics of reinforced concrete at the material, element, and structure level. Flood and dam break waves (FR) The course provides computational methods for unsteady flow problems such as floods, waves, and dam failures. The emphasis is on the physical understanding of the phenomena, the governing equations (Saint-Venant equations) and aspects related to engineering practice. Seismic engineering (EN) This course deals with the main aspects of seismic design and assessment of buildings including conceptual design. It covers different structural design and evaluation philosophies for new and existing reinforced concrete, steel and unreinforced masonry buildings. Steel structures, selected topics (EN) Design and dimensioning of load-bearing structures using structural steel, with emphasis on the specific methods related to steel-concrete composite elements (for buildings and bridges), fatigue (bridges) and fire (buildings). Slope stability (EN) The course aims at providing future civil engineers with a comprehensive view on soil slope stability. It addresses landslide types and mass movement classification; slope failure mechanisms and methods for slope stability analysis are discussed; remedial measures and risk analysis are presented. Materials and structures (EN) Starting with basic knowledge of concrete technology, this course provides an understanding of the relationships between the composition, processing, microstructure and structural properties of “new concretes”, with a particular focus on Ultra High Performance Fiber Concretes (UHPFRC).
Computational systems thinking for sustainable eng. (EN) This course integrates systems thinking and network analysis through theory and computing. The objective of this course is to develop expertise in computationally analyzing and modeling complex systems in civil and urban systems engineering, with a particular emphasis on advancing sustainability. Decision-aid methodologies in transportation (EN) The course has two modules, the first Operations Research (OR), and the second is statistical modeling of transportation systems. Students will be modeling applied problems and developing solution methods and modelling of driver behavior for decision support in transportation. Inference for large-scale time series with application to sensor fusion (EN) Large-scale time series analysis is performed by a new statistical tool that is superior to other estimators of complex state-space models. The identified stochastic dependences can be used for sensor fusion by Bayesian (e.g. Kalman) filtering or for studying changes in natural/biological phenomena. Communication for Research Engineers (EN) Communication proficiency is one of the most important results of a good PhD and postdoc experience and it is valued
equally in academia and in industry. EPFL PhD students and postdocs are expected to have excellent written, oral and
graphic skills in order to transmit their ideas effectively. Research skills in the Open Science Era (EN) Research Skills in the Open Science Era is a course designed to explore the landscape of modern research tools and practices. You will gain insights into principles of open science, smart information retrieval, ethical publishing, coding best practices, and comprehensive research data management. Frontiers of Deep Learning for Engineers (EN) The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research of the Ph.D. student. Selected Topics on Advanced Composites in Engineering Structures (EN) The course presents investigations into composite materials’ fatigue and fracture, including bonding and reinforcement. Students learn about failure, degradation mechanisms, and analytical and design concepts following current international standards for addressing realistic loading conditions. New Concretes for Structures (EN) This course provides an in-depth coverage of mechanical and physical properties of Ultra High Performance Fiber Reinforced Concretes (UHPFRC), in the framework of new concretes for sustainable structures. It provides an extended and comprehensive insight on these materials. Performance-based earthquake engineering (EN) Quantitative decision making based on life-cycle considerations that incorporate direct losses, seismic risk assessment, and collapse. Seismic hazard analysis, response simulation, damage and loss estimation, collapse prediction. Case studies. Advanced information, computation, communication II (EN) Text, sound, and images are examples of information sources stored in our computers and/or communicated over the Internet. How do we measure, compress, and protect the informatin they contain? Project oriented programming (FR) This course focuses on the complementary features of the C++ language that allow to design robust modular applications (principle of separation of concerns). The practice dimension is deemed particularly important ; for this reason a significant time is devoted to a project. Signal processing (EN) Signal processing theory and applications: discrete and continuous time signals; Fourier analysis, DFT, DTFT,
CTFT, FFT, STFT; linear time invariant systems; filter design and adaptive filtering; sampling; interpolation
and quantization; image processing, data communication and control systems. Stochastic models in communication (FR) The goal of this class is to acquire a working knowledge of the tools of random processes used by an engineer in communication, data science and computer science. Computer security and privacy (EN) This is an introductory course to computer security and privacy. Its goal is to provide students with means to reason about security and privacy problems, and provide them with tools to confront them. Principles of digital communications (EN) This course is on the foundations of digital communication. The focus is on the transmission problem (rather than being on source coding). Intelligent systems: communications & AI (EN) The course teaches the development of systems that solve real-world challenges in signal processing, foundation models, and AI. Students will work in teams, construct their ideas, and either program available hardware prototypes or build their hardware or software system. Internet analytics (EN) Internet analytics is the collection, modeling, and analysis of user data in large-scale online services, such as social networking, e-commerce, search, and advertisement. This class explores a number of the key functions of such online services that have become ubiquitous over the past decade. Introduction to quantum information processing (EN) Information is processed in physical devices. In the quantum regime the concept of classical bit is replaced by the quantum bit. We introduce quantum principles, and then quantum communications, key distribution, quantum entropy, and spin dynamics. No prior knowledge of quantum physics is required. Cryptography and security (EN) This course introduces the basics of cryptography. We review several types of cryptographic primitives, when it is safe to use them and how to select the appropriate security parameters. We detail how they work and sketch how they can be implemented. Information theory and coding (EN) The mathematical principles of communication that govern the compression and transmission of data and the design of efficient methods of doing so. Mobile networks (EN) This course provides a detailed description of the organization and operating principles of mobile and wireless communication networks, as well as the use of wireless signals for sensing and imaging. Foundations of Data Science (EN) We discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introduction ML course. In particular we discuss fundamentals ideas and techniques that come from probability, information theory as well as signal processing. Advanced networks (EN) This advanced course in computer networks offers an in-depth exploration of how the Internet is designed and operates. Students dive into the architecture of the Internet and gain hands-on understanding of the key protocols that power it. Advanced probability and applications (EN) In this course, various aspects of probability theory are considered. The first part covers the main theorems in the field (law of large numbers, central limit theorem), while the second part focuses on the theory of martingales and concentration inequalities. Introduction to quantum cryptography (EN) This course describes, at a rigorous mathematical level, a range of such tasks, each time identifying the fundamental property of quantum information that makes it possible, its strengths, and its limits. Data visualization (EN) Understanding why and how to present complex data interactively in an effective manner has become a crucial skill for any data scientist. In this course, you will learn how to design, judge, build and present your own interactive data visualizations. Large-scale data science for real-world data (EN) This hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insights, applied to real-world problems. Advanced cryptography (EN) This course reviews some failure cases in public-key cryptography. It introduces some cryptanalysis techniques. It also presents fundamentals in cryptography such as interactive proofs. Finally, it presents some techniques to validate the security of cryptographic primitives. Dynamical system theory for engineers (EN) Linear and nonlinear dynamical systems are found in all fields of science and engineering. After a short review of linear system theory, the class will explain and develop the main tools for the qualitative analysis of nonlinear systems, both in discrete-time and continuous-time. Seminar on applied cryptography (EN) This seminar introduces the participants to the current trends, problems, and methods in the area of communication security. Advanced Topics in Information Theory (EN) The class will focus on information-theoretic progress of the last decade. Topics include: Network Information Theory ; Information Measures: definitions, properties, and applications to probabilistic models. Advanced information, computation, communication I (EN) Discrete mathematics is a discipline with applications to almost all areas of study. It provides a set of indispensable tools to computer science in particular. This course reviews (familiar) topics as diverse as mathematical reasoning, combinatorics, discrete structures & algorithmic thinking. Introduction to programming (FR) This course presents the fundamentals of programming and object-oriented programming (using the Java language). It also gives an introduction to a computer development environment (by default on Linux). Practice of object-oriented programming (FR) Students improve their knowledge of Java and put it into practice by implementing a sizeable project. They learn how to use and implement the most common type of collections (lists, sets and maps) and look at a few design patterns. Object oriented programming (FR) C++ Object-Oriented Programming Object oriented programming (FR) The fundamentals of procedural programming will be complemented with more advanced features. Emphasis will be put on object-oriented concepts, for a better reliability and reusability of programs.
This course will also present some algorithmic fundamental concept. Information, Computation, Communication (FR) On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming is given. Information, Computation, Communication (FR) The goal is this course is to introduce students to computational thinking, to present fondamental ideas of computer science and to develop their first programming skills (C++ language). Information, Computation, Communication (FR) This course is an introduction to computational thinking and computer science fundamentals as well as C++ programming basics.
Information, Computation, Communication (FR) The objective of this course is to introduce students to algorithmic thinking, to familiarize them with the fundamentals of computer and communications sciences and to develop their first programming skills (in C++). Information, Computation, Communication (FR) The course objectives are to introduce the students to algorithmic thinking, to get them familiar with the foundations of communication and computer sciences and to develop a first set of skills in programming with the Python language. Information, Computation, Communication (FR) On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming in Python is given. Information, Computation, Communication (FR) This course is an introduction to computational thinking and computer science fundamentals as well as C++ programming basics.
Software development (FR) This course deepens the programming abilities introduced during the ICC course of the first semester. It focuses on the design and specification of programs (in Python) using the “object-oriented” approach, while building a small application as a project by pair of students. Fundamentals of digital systems (EN) Welcome to the introductory course in digital design and computer architecture. In this course, we will embark on a journey into the world of digital systems, exploring the fundamental principles and concepts that underpin modern computing technology. Computer architecture (EN) This course completes the overview of computer architecture started on the first year (CS-173 DSD). Computer systems (EN) This course will teach operating systems and networks in an integrated fashion,emphasising the fundamental concepts and techniques that make their interaction possible/practical. Core lectures will be coupled with C programming lectures and assignments for hands-on experience. Human-computer interaction (EN) This course introduces core ideas and methods in the interdisciplinary field of Human-Computer Interaction (HCI). We will explore how we can design human-centered systems that are useful, usable, and beneficial to people in real-world contexts. Software construction (EN) Learn how to design and implement reliable, maintainable, and efficient software using a mix of programming skills (declarative style, higher-order functions, inductive types, parallelism) and
fundamental software construction concepts (reusability, abstraction, encapsulation, composition, proofs) Introduction to machine learning (EN) Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. Technologies for democratic society (EN) This course will offer students a broad but hands-on introduction to technologies of human self-organization. Algorithms I (EN) The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, sorting and searching, and graph algorithms. Theory of computation (EN) This course constitutes an introduction to theory of computation. It discusses the basic theoretical models of computing (finite automata, Turing machine), as well as, provides a solid and mathematically precise understanding of their fundamental capabilities and limitations. Responsible software (EN) Software’s growing importance increases engineers’ responsibility to integrate ethical concerns in the design and development process. This course teaches students concrete strategies for responsible software engineering, focusing on identifying ethical issues and mitigating risks to minimize harms. Data-intensive systems (EN) This course covers the data management system design concepts using a hands-on approach.
Parallelism and concurrency in software (EN) From sensors,to smart phones,to the world’s largest datacenters and supercomputers, parallelism & concurrency is ubiquitous in modern computing.There are also many forms of parallel & concurrent execution in modern platforms with varying degrees of ease of programmability,performance & efficiency. Principles of online decision-making (EN) This course provides a mathematical treatment of online decision-making. It covers bandits (multi-armed, contextual, structured), Markov Decision Processes (MDPs), and related topics. Key concepts include exploration-exploitation, UCB, Thompson sampling, and tools to derive regret bounds. Introduction to quantum computation (EN) The course introduces the paradigm of quantum computating in an axiomatic way. We introduce the notions of quantum bits, gates, and circuits. We introduce themost important quantum algorithms. We also touch upon error-correcting codes. This course is independent of COM-309. The software enterprise – from ideas to products (EN) The course teaches the journey that software teams take from nascent ideas to products that solve real problems for real people, in an era where AI agents perform much of the implementation, and the engineer’s craft increasingly centers on specifying, directing, reviewing, and validating their work. Computer language processing (EN) We teach the fundamental aspects of provably correct analysis and interpretation of computer languages, including the techniques to build compilers and to demonstrate correctness of key compiler phases. The course may require presence in many weeks due to in-class examinations. Numerical methods for visual computing and ML (EN) Visual computing and machine learning are characterized by their reliance on numerical algorithms to process large amounts of information such as images, shapes, and 3D volumes. This course will familiarize students with a range of essential numerical tools to solve practical problems in this area. Computer graphics (EN) The students study and apply fundamental concepts and algorithms of computer graphics for rendering, geometry
synthesis, and animation. They design and implement their own interactive graphics programs. Making intelligent things A (EN) The course aims at teaching the prototyping of intelligent physical artifacts. It aims to solve real-world challenges by a
combination of microcontroller programming, electronics, and computer -aided design and manufacturing. Student teams
choose their own challeng in consultation with the teachers. Making intelligent things B (EN) The course aims at teaching the prototyping of intelligent physical artifacts. It aims to solve real-world challenges by a
combination of microcontroller programming, electronics, and computer -aided design and manufacturing. Student teams
choose their own challeng in consultation with the teachers. Applied data analysis (EN) This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) Digital education (EN) This course addresses the relationship between specific technological features and the learners’ cognitive processes. It also covers the methods and results of empirical studies: do student actually learn due to technologies? This iteration will also have a focus on AI for teaching and learning. Software security (EN) This course focuses on software security fundamentals, secure coding guidelines and principles, and advanced software
security concepts. Students learn to assess and understand threats, learn how to design and implement secure software
systems, and get hands-on experience with security pitfalls. Advanced compiler construction (EN) Students learn several implementation techniques for modern functional and object-oriented programming languages. They put some of them into practice by developing key parts of a compiler and run time system for a simple functional programming language. Machine learning for behavioral data (EN) Computer environments such as educational games, interactive simulations, and web services provide large amounts of data, which can be analyzed and serve as a basis for adaptation. This course will cover the core methods of user modeling and personalization, with a focus on educational data. Interactive theorem proving (EN) A hands-on introduction to interactive theorem proving, computer-checked mathematics, compiler verification, proofs as programs, dependent types, and proof automation.
Come learn how to write computer-checked proofs and certified bug-free code! Machine learning (EN) Machine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. Decentralized systems engineering (EN) A decentralized system is one that works when no single party is in charge or fully trusted. This course teaches decentralized systems principles while guiding students through the engineering of their own decentralized system featuring messaging, file sharing, encryption, and blockchain concepts. Optimization for machine learning (EN) This course teaches an overview of modern optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be discussed in theory and in implementation. Advanced computer graphics (EN) This course covers advanced 3D graphics techniques for realistic image synthesis. Students will learn how light interacts with objects in our world, and how to recreate these phenomena in a computer simulation to create synthetic images that are indistinguishable from photographs. Computer vision (EN) Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors.
We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their field of applicability. Sublinear algorithms for big data analysis (EN) In this course we will define rigorous mathematical models for computing on large datasets, cover main algorithmic techniques that have been developed for sublinear (e.g. faster than linear time) data processing. We will also discuss limitations inherent to computing with constrained resources. Algorithms II (EN) The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, sorting and searching, and graph algorithms. Distributed algorithms (EN) Computing is nowadays distributed over several machines, in a local IP-like network, a cloud or a P2P network. Failures are common and computations need to proceed despite partial failures of machines or communication links. This course will study the foundations of reliable distributed computing. Concurrent computing (EN) With the advent of modern architectures, it becomes crucial to master the underlying algorithmics of concurrency. The objective of this course is to study the foundations of concurrent algorithms and in particular the techniques that enable the construction of robust such algorithms. Topics in theoretical computer science (EN) The students gain an in-depth knowledge of several current and emerging areas of theoretical computer science. The course familiarizes them with advanced techniques, and develops an understanding of fundamental questions that underlie some of the key problems of modern computer science.
Geometric computing (EN) This course will cover mathematical concepts and efficient numerical methods for geometric computing. We will explore the beauty of geometry and develop algorithms to simulate and optimize 2D and 3D geometric models with an emphasis towards computational design for digital fabrication. Systems for data management and data science (EN) This is a course for students who want to understand modern large-scale data analysis systems and database systems. The course covers fundamental principles for understanding and building systems for managing and analyzing large amounts of data. It covers a wide range of topics and technologies. Foundation models and generative AI (EN) This course covers the principles, architectures, and applications of foundation models and generative AI, including generative methods, tokenization, multi-modal learning, adaptation, prompting, and their use in reasoning, decision-making, and scientific domains. Programming language foundations (EN) This course provides an introduction to the theory of programming languages, with an emphasis on language design and formal semantics. Hardware-software co-design (EN) This course offers a deep dive into the architecture and programming of modern computing systems, moving beyond general-purpose CPUs to explore how hardware and software are co-designed for maximum efficiency. Human-centered security and privacy (EN) Safeguarding security, privacy, and online safety are critical sociotechnical challenges that require integrating computing and social science. This course introduces fundamentals of human-centered computer security and privacy while drawing on novel research about emerging threats to online safety. AI for global health (EN) This course teaches students to design, build and rigorously evaluate trustworthy, representative and contextually appropriate AI systems for high-stakes decision-making in global health and humanitarian response. Advanced computer architecture (EN) This course explores techniques for exploiting instruction-level parallelism both statically and dynamically. It also addresses the generation of hardware accelerators from programming languages and investigates security issues related to microarchitectural features, including side-channel attacks. Advanced multiprocessor architecture (EN) Multiprocessors are basic building blocks for all computer systems. This course covers the architecture and organization of modern multiprocessors, prevalent accelerators (e.g., GPU, TPU), and datacenters. It includes a research project on multiprocessors and post-Moore era datacenters. Design technologies for integrated systems (EN) Hardware compilation is the process of transforming specialized hardware description languages into circuit descriptions, which are iteratively refined, detailed and optimized. The course presents algorithms, tools and methods for hardware compilation and logic synthesis. System programming for Systems-on-chip (EN) To efficiently program embedded systems an understanding of their architectures is required. After following this course students will be able to take an existing SoC, understand its architecture, and efficiently program it. Embedded system design (EN) Hardware-software co-design is a well known concept in embedded system design.It is also a concept required in designing FPGA-accelerators in data-centers.This course teaches how to transform algorithms in smart hardware-software solutions. Advanced operating systems (EN) This course teaches the design and implementation of modern operating systems through the lens of the Linux kernel. Using an extensive hands-on approach, students study how classical OS principles are realized in a production kernel and explore new design ideas proposed over the past two decades.
Brain-style learning in neural networks (EN) Full title : Brain-style learning in Neural Networks: Learning algorithms of the brain. Biological brains show powerful learning without BackProp, how? By a smart combination of Reinforcement Learning and Self-supervised learning with local learning rules at the connections (synapses). Experience design (EN) As we move towards an AI economy, the success of new products, systems and services depend increasingly on the excellence of personal experience. This course introduces students to the notion and practice of experience design following a hands-on, studio-based approach. AI product management (EN) The course focuses on the development of real-word AI/ML products. It is intended for students who have acquired a theoretical background in AI/ML and are interested in applying that toward developing AI/ML-oriented products. Deep learning in biomedicine (EN) Deep learning offers potential to transform biomedical research. In this course, we will cover recent deep learning methods and learn how to apply these methods to problems in biomedical domain. Visual intelligence (EN) This course covers both classic concepts and recent advances in computer vision and machine learning for processing visual data — with a primary focus on embodied intelligence and multimodal learning Principles of computer systems (EN) This advanced graduate course teaches the key design principles underlying successful computer and communication systems, and shows how to solve real problems with ideas, techniques, and algorithms from operating systems, networks, databases, programming languages, and computer architecture. Computational complexity (EN) In computational complexity we study the computational resources needed to solve problems and understand the relation between different types of computation.
This course advances the students knowledge of computational complexity, and develop an understanding of fundamental open questions. Formal verification (EN) We introduce formal verification as an approach for developing highly reliable systems. Formal verification finds proofs that computer systems work under all relevant scenarios. We will learn how to use formal verification tools and explain the theory and the practice behind them. Modern natural language processing (EN) Natural language processing is ubiquitous in modern intelligent technologies, serving as a foundation for language translators, virtual assistants, search engines, and many more. In this course, students will learn algorithmic tools for tackling problems in modern NLP. Topics in Natural Language Processing (EN) This seminar course explores advanced topics in natural language processing through a mix of reading, reviewing, and writing academic papers.
Agentic-Systems Security (EN) This is a seminar course where we will read a selection of papers covering the topic of AI agent security. The goal is to discuss the published approaches and to compare them with each other. This should give a good foundation for students who want to continue working in the area. Transfer learning and meta-learning (EN) This seminar course covers principles and recent advancements in machine learning methods that have the ability to solve multiple tasks and generalize to new domains in which training and test distributions are different. Constructive Computer Architecture (EN) Beginning with a basic pipeline processor, student will learn to implement intriguing architectural techinques through a series of labs. The class will emphasize the implementation, debugging, and analysis of varoius advanced computer architecture techniques.
Fault-tolerant quantum computing (EN) The course explains how to execute scalable algorithms on fault-tolerant quantum computers. It describes error correction used to build reliable logical operations from noisy physical operations, and how quantum programs are mapped into logical operations sets taking into account layout constraints. Interactive Theorem Proving Project (EN) A project-focused introduction to interactive theorem proving. Topics in Machine Learning for Education (EN) This seminar course covers the interdisciplinary field of machine learning for education. By reading, reviewing, and presenting research papers from recent venues, students will become familiar with core issues and techniques in the field Topics in Machine Learning Systems (EN) This course will cover the latest technologies, platforms and research contributions in the area of machine learning systems. The students
will read, review and present papers from recent venues across the systems for ML spectrum. Topics in Computational Social Science (TopiCSS) (EN) This is a seminar course. By reading and discussing an introductory book as well as research papers about computational social science, students will become familiar with core issues and techniques in the field. Topics on Datacenter Design (EN) Modern datacenters with thousands of servers and multi-megawatt power budgets form the backbone of our digital universe. ln this course, we will survey a broad and comprehensive spectrum of datacenter design topics from workloads, to server architecture and infrastructure. Evolutionary Computation: Methods and Algorithms (EN) This course introduces Evolutionary Computation, machine-learning methods inspired by natural evolution for solving non-differentiable and ill-defined problems. Students learn the theory, main algorithms, and applications to neural networks and robotics, and apply them to a project of their choice. Historical Document and Media Processing (EN) This course introduces historical document processing, focusing on concepts and methods that enable the transformation of digitised materials into structured and searchable data. Grounded in machine learning and document processing, it also covers data curation and copyright considerations. Digital musicology (EN) This course will introduce students to the central topics in digital musicology and core theoretical approaches and methods. In the practical part, students will carry out a practical project. Cultural data sculpting (EN) This course will engage novel approaches for visualizing and interacting with cultural heritage archives in immersive virtual environments.
Foundations of digital humanities (EN) This course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their processing, analysis, and interpretation. Design research for digital innovation (EN) How can we turn digital technologies and data into meaningful user experiences? How can we face societal issues raised by digital evolution? This course proposes an immersion in design research, user centered creativity and UX/UI psychology, through project based learning. History and the digital (EN) The course presents a number of computational approaches & tools that can be used to study history. Drawing on case studies from the history of science & technology, the course also offers students the opportunity to critically reflect on their own practices as digital humanists and data scientists. Game design & prototyping (EN) This course aims to present and discuss various game design methodologies that can be used to analyze and create projects based on interactivity and player engagement. It gives students the opportunity of engaging with the medium of (video) games – its limits and potentials – to widen their toolset. Ethics and law of AI (EN) This master course enables students to sharpen their proficiency in tackling ethical and legal challenges linked to Artificial Intelligence (AI). Students acquire the competence to define AI and identify ethical and legal questions linked to its conception and increased use in society. Computational Social Media (EN) The course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Twitter/X, Instagram, YouTube, and TikTok. Students will learn methods to understand socio-technical phenomena in social media. Electrical engineering science & technology (FR) This course is an introduction to electrical engineering, with emphasis on circuits and their components. It includes a theoretical module with exercises and practical experiments in the laboratory. Electrical engineering science and technology (Spring) (FR) This course provides an introduction to electricity.
Electricity main laws and the fundamental elements of linear DC circuits will be covered. The student will also learn how to analyze electric circuits. Electrical engineering science & technology (FR) This course introduces the fundamental laws of electricity and the methods for analyzing linear electrical circuits, consisting of resistors, capacitors and inductors. We will start with the Direct Current circuits and then switch to single-phase and three-phase Alternating Current circuits. Logic systems (for MT) (FR) This course covers the fundamentals of digital systems. The methods enabling the analysis and the synthesis of logic systems are studied and exercised based on Boolean algebra, combinational and sequential circuits including finite-state machines. Circuits and systems (FR) This course provides an introduction to the theory and analysis methods of electrical circuits. Electromagnetics I : Transmission lines and waves (FR) The electric signal is the essential vehicle for transmitting information and energy. At high frequency, it shows itself as an electromagnetic wave whose study calls for the development of physical and mathematical models based on the wave equation. Electromagnetics II : field computation (FR) This course deals with electromagnetism in free space and in continuous media. Starting from the basic principles, we establish the methods for solving Maxwell’s equation in vacuum and in more complex material media. Electronics I (FR) The basic concepts enabling to understand and analysis Operational Amplifier based circuits dedicated to analog signal processing are addressed. This includes the amplification, filtering, A/D conversion and signal generation. Electronics I (FR) Discover the world of electronics from the fundamental laws of linear and nonlinear discrete components. Circuits obtained with component assemblies require many modeling and analysis techniques, and verification using a simulator. Electronics II (for EL) (FR) This course covers the bipolar and MOSFET transistors, their operations, modeling and implementation in elementary circuits (current mirror and various amplifiers: single-ended, differential, multi-stage, power amplifiers, etc.) and ends with the design of MOS and Bipolar OpAmps. Electronics II (for IC) (FR) Understanding functionnal blocks that require a higher level of abstraction. Realization of electronic high-level functions exploiting operational amplifiers. Electronics II (for MT) (FR) This course covers the bipolar and MOSFET transistors, their operations, modeling and implementation in elementary circuits (current mirror and various amplifiers: single-ended, differential, multi-stage, power amplifiers, etc.) and ends with the design of MOS and Bipolar OpAmps. Signals and systems (for EL) (FR) This course establishes the foundations of an essential concept in engineering: the notion of a system. More specifically, the course introduces the theory of linear time-invariant (LTI) systems, which are widely used to model both physical reality and human-engineered systems. Logic systems (for EL) (FR) This course covers the fundamentals of digital systems. The methods enabling the analysis and the synthesis of logic systems are studied and exercised based on Boolean algebra, combinational and sequential circuits including finite-state machines. Microcontrollers and digital systems (FR) Microcontrollers covers the internal operation of a microcontroller, basic notions of microprocessor architecture and computer systems as well as microcontroller interfaces and serial communication protocols. Elements of statistics for data science (FR) Estimation theory: maximum likelihood estimation, Fisher information.
Cramer-Rao inequality. Confidence intervals.
Hypotheses testing: Neyman-Pearson framework. Maximum likelihood test. Parametric and non parametric tests.
Bayesian inference.
Linear Models. Electronics (FR) Introduction to the main electronic components.
Analysis of basic circuits made of operational amplifiers.
Introduction to elementary logic circuits.
Principle of Analog – Digital conversion.
Basics of MOSFET transistor operation. Electrical systems and electronics I (FR) The course has the aim to provide the fundamental knowledge and experiences to understand basic electrical systems. Electrical systems and electronics II (FR) The basic concepts enabling to understand and analysis the electronic systems dedicated to signals acquisition and processing (e.g. biosensors, physiological signals, ECG) are addressed. This includes the acquisition, amplification and filtering. Microprogrammed Embedded Systems (FR) The student will understand the architectures of embedded microprogrammed systems, microprocessor architectures, memory hierarchies, and various Input/Output (I/O) devices, using the Nintendo DS handheld platform as a case study. Analog IC design (EN) Introduction to the design of analog CMOS integrated circuits at the transistor level. Understanding and design of basic structures. Digital IC design (EN) Digital IC Design presents the fundamentals of digital integrated circuit design. The methods and techniques aiming at the fabrication and development of digital integrated circuits are reviewed, the major design style pertaining to digital logic and memory are presented. Semiconductor physics and device principles (EN) The course introduces the fundamental principles of semiconductor devices used for information processing and storage. It covers the basics of the physics of device operation, material aspects, design, and essential device characteristics, while also highlighting trends driven by modern applications Digital systems design (EN) Students will acquire basic knowledge about methodologies and tools for the design, optimization, and verification of custom digital systems/hardware.
They learn how to design synchronous digital circuits on register transfer level, analyse their timing and implement them in VHDL and on FPGAs. Electronic circuits and systems (FR) The objective of this course is an in-depth study of electronic circuits and systems using the fundamental concept of feedback, with an emphasis on practical applications. The course also covers the fundamental principles of A/D and D/A converters and their architectures. Systèmes de télécommunications (FR) Learning basic knowledge on transmission of information and identify the relevant criteria for the dimensioning of a telecommunication system. Evaluate the quality of digital transmission systems (error probability) either in baseband or shifted passband. Introduction aux microondes et aux antennes (FR) This courses introduces the foundations of passive microwave circuits and of antenna. it covers the notions of distributed circuits and their characterization through the scattering parameters, guided and free space propagation, the fundamental aspects of antennas. Electroacoustics (FR) This lecture will give the EE students strong ground knowledge on the acoustical engineering through a formalism that they already know, namely electrotechnics. The main learning outcome of the lecture is the understanding and the design of acoustic systems such as acoustic filters. Signal processing (FR) In this course, we introduce the main methods in signal processing. Energy conversion (FR) The course aims at providing the elements related to the energy conversion with particular reference to the electricity production by means of conventional and renewable energy sources. The course illustrates the fundamental notions for the modeling of energy conversion systems. Electrical machines (for EL) (FR) The aim of this course is to acquire the basic knowledge related to electrical machines (electromechanical conversion). The course covers the magnetic circuit, the transformer, synchronous, induction and direct current machines as well as stepper motors. Power systems analysis (EN) The course provides the fundamental concepts to model power systems, understand their operation and design/coordinate some of its main components. Power electronics (EN) The goal of the course is to present fundamentals of power electronics. The key focus is on the operating principles of power electronic converters, their modelling, sizing and design. Electrical machines (for ME) (FR) The aim of this course is to acquire the basic knowledge related to electrical machines (electromechanical conversion). The course covers the magnetic circuit, the transformer, synchronous, induction and direct current machines as well as stepper motors. Lab on hardware-software digital systems codesign (EN) This course explores hardware-software co-design techniques to develop heterogeneous multi-core embedded systems running Linux on FPGAs. The course explores high-level synthesis tools (HLS) to design hardware accelerators that reduce total execution time and energy consumption for complex tasks. Lab in energy conversion (FR) This teaching lab provides the experimental experiences associated to courses of the Energy orientation of the BSc in EE. The experiments cover measurement methods, electrical machines and elements related to conversion system, including storage. Lab in information technologies (FR) Get familiar with experimental aspects of the main domains of the orientation “Information and communication technologies” Fundamentals of electrical circuits and systems I (EN) This course gives you an introduction to signal processing, focusing on the Fourier transform, on signal sampling and reconstruction and the Discrete Fourier transform. Fundamentals of electrical circuits and systems II (EN) This course provides an introduction to the theory and analysis methods of electrical circuits. Fundamentals of inference and learning (EN) This is an introductory course in the theory of statistics, inference, and machine learning, with an emphasis on theoretical understanding & practical exercises. The course will combine, and alternate, between mathematical theoretical foundations and practical computational aspects in python. Fundamentals of analog VLSI design (EN) This course presents the systematic design of low-power analog CMOS integrated circuits based on the concept of inversion coefficient and on the sEKV MOSFET model. It covers device modeling, basic building blocks to more advanced circuits like amplifiers and switched-capacitor circuits. Radio frequency circuits design techniques (EN) RF has changed our daily life in our ever connected wireless world (guess how many radios you have in your smartphone?). The goal of this course is to get familiar with RF design techniques in view of understanding the basics behind wireless communication.
Fundamentals of VLSI design (EN) The course introduces the fundamentals of digital integrated circuits and the technology aspects from a designers perspective. It focuses mostly on transistor level, but discusses also the extension to large digital semicustom designs. Analog circuit design II (for MNIS) (EN) The course provides a comprehensive treatment of analog IC design, emphasizing new solutions and paradigms used in today’s low-power electronic systems. The analysis and design are first introduced from an intuitive perspective before the rigorous treatment and practical application in EDA-Lab. Photonic systems and technology (EN) The physics of optical communication components and their applications to communication systems will be covered. The course is intended to present the operation principles of contemporary optical communication systems employing optical fibers and modern optoelectronic devices. Wireless receivers: algorithms and architectures (EN) The students will learn about the basic principles of wireless communication systems, including transmission and modulation schemes as well as the basic components and algorithms of a wireless receiver. They develop an understanding for the wireless channel and system performance and limitations. Microwaves, the basics of wireless communications (EN) This course is an introduction to microwaves and microwave passive circuits. A special attention is given to the introduction of the notion of distributed circuits and to the scattering matrix Antennas (EN) The students will first learn the fundamental principles governing antennas and get familiar with the main antenna types.
In the second part, students will work in groups on an antenna design project. Through this, they will learn to use common simulation tools, and perform antenna measurements Image analysis and pattern recognition (EN) This course gives an introduction to the main methods of image analysis and pattern recognition.
Network machine learning (EN) Fundamentals, methods, algorithms and applications of network machine learning and graph neural networks Hydropower plants: generating and pumping units (EN) Master Lectures on the layouts, compenents and operating principles of hydropower plants and hydroelectric units for generation and pumping. Industrial electronics I (EN) The course deals with the control of grid connected power electronic converters for renewable applications, covering: converter topologies, pulse width modulation, modelling, control algorithms and controllers (PID and PR), coordinate frame transformations, grid monitoring and synchronisation (PLL). Energy storage in power systems: technologies, applications and future needs (EN) This course reviews the main energy storage technologies, their attributes, mathematical models, and applications (stationary and mobile), from design to operations and control. Battery systems, whose application and development rates today are among the most relevant, will be given special focus. Smart grids technologies (EN) Learn the technologies and methodologies used in the context of the operation of future power grids and be able to deploy/implement/test them. Lab in acoustics (EN) Apply the knowledge acquired in Audio lectures (room acoustics, acoustic material characterization, loudspeaker measurements, etc.), and provide additional useful illustrations (full wave simulations on COMSOL Multiphysics to better understand some physical phenomena). Lab in advanced VLSI design (EN) this class covers advanced VLSI design techniques. top-down full custom circuit design. Lab in power electronics (EN) This teaching lab provides the practical experiences related to the operation of power electronics converters and digital control in power electronics, through experimental activities on the Power Electronic Teaching Setups. Work is organised
by means of mini projects, assigned to each student. Lab in signal and image processing (EN) These lab sessions are hands-on exercises focusing on the basics of image processing and deep learning. The main objective is to learn how to use some important image processing libraries, namely OpenCV, numpy and TensorFlow, to perform image analysis tasks. Lab on app development for tablets and smartphones (EN) Focusing on the Android ecosystem, this course teaches techniques for the development of distributed mobile applications, operating on multiple heterogeneous devices (tablets / smartwatches), sensing the environment, and interfacing with the cloud. Lab in nanoelectronics (EN) Students will work in the laboratory and the EPFL CMI cleanroom on a process flow for fabricating devices based on 2D semiconductors. Sensors in medical instrumentation (EN) Fundamental principles and methods used for physiological signal conditioning. Electrode, optical, resistive, capacitive, inductive, and piezoelectric sensor techniques used to detect and convert physiological information to electrical signals. Medical devices for physiological signal monitoring. Applied biomedical signal processing (EN) This course covers state-of-the-art concepts and approaches for biomedical signal processing, applied to diverse sensing modalities, and framed in real applications within the health, wellness, and sports domains. Fundamentals of biosensors and electronic biochips (EN) The labels “biosensor” and “eBiochip” have been employed to refer to the most diverse systems and in several fields of application. The course is meant not only to provide means to dig into this sea but also a thoughtful understanding of the detection principles and a design perspective. Bio-nano-chip design (EN) Introduction to heterogeneous integration for Nano-Bio-CMOS sensors on Chip.
Understanding and designing of active Bio/CMOS interfaces powered by nanostructures. Analog circuits for biochip (EN) Introduction to analog CMOS design for Remote Biosensors on Chip. Understanding and designing of active and remotely powered biosensing systems. Basic understanding of the wireless transmission of the obtained signals. Bioelectronics and biomedical microelectronics (EN) The course covers the fundaments of bioelectronics and integrated microelectronics for biomedical and implantable systems. Issues and trade-offs at the circuit and systems levels of invasive microelectronic systems as well as their eluding designs, methods and classical implementations are discussed Advanced analog integrated circuit design (EN) Introduction to advanced topics in analog and mixed-signal CMOS circuits at the transistor level. The course will focus on practical aspects of IC design, quantitative performance measures, and design trade-offs to develop an intuitive understanding of circuit behavior. Introduction to bioengineering (EN) This course provides engineering students with a foundational understanding of bioengineering, a multidisciplinary field that integrates principles of biology, chemistry, and engineering. Test of VLSI systems (EN) Test of VLSI Systems covers theoretical knowledge related to the major algorithms used in VLSI test, and design for test techniques. Basic knowledge related to computer-aided design for test techniques, and their integration into a design-flow are presented. Nanoelectronics (EN) This lecture overviews and discusses the last trends in the technology and principles of nanoelectronic devices for more aggressive scaling, better performances, added functionalities and lower energy per function. The opportunities of these advances compared to industrial roadmaps are analized. Physical models for micro and nanosystems (EN) Students will learn simple theoretical models, the theoretical background of finite element modeling as well as its application to modeling charge, mass and heat transport in electronic, fluidic and electromechanical micro and nanosystem. Audio engineering (EN) This lecture is oriented towards the study of audio engineering, room acoustics, sound propagation, and sound radiation from sources and acoustic antennas. The learning outcomes will be the techniques for microphones and loudspeaker design, as well as room acoustics. Media security (EN) This course provides attendees with theoretical and practical issues in media security. In addition to lectures by the professor, the course includes laboratory sessions, a mini-project, and a mid-term exam.
Automatic speech processing (EN) The goal of this course is to provide the students with the main formalisms, models and algorithms required for the implementation of advanced speech processing applications (involving, among others, speech coding, speech analysis/synthesis, and speech recognition, speaker recognition). Mathematics of data: from theory to computation (EN) This course provides an overview of key advances in continuous optimization and statistical analysis for machine learning. We review recent learning formulations and models as well as their guarantees, describe scalable solution techniques and algorithms, and illustrate the trade-offs involved. Semiconductor devices I (EN) This course aims to give a solid introduction to semiconductors, from Silicon to compound semiconductors, making the connection between the physics and their application in real life. We will explore several experimental techniques related to current semiconductor research and development. Deep learning (EN) This course explores how to design reliable discriminative and generative neural networks, the ethics of data acquisition and model deployment, as well as modern multi-modal models.
Industrial electronics II (EN) The course is dealing with high performance drives and methods to control various electrical machines by means of power electronic converter and advanced control methods. Adaptation and learning (EN) In this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications. Semiconductor devices II (EN) Students will learn about understanding the fundamentals and applications of emerging nanoscale devices, materials
and concepts. Remark: at least 5 students should be enrolled for the course to be given
Reinforcement learning (EN) This course describes theory and methods for Reinforcement Learning (RL), which revolves around decision making under uncertainty. The course covers classic algorithms in RL as well as recent algorithms under the lens of contemporary optimization. Image and video coding (EN) This course addresses coding of visual information. The primary focus will be on image and moving picture compression. Concrete examples of image and video coding algorithms such as those standardized under JPEG and MPEG are explained and compared. Power system restructuring and deregulation (EN) This course presents different types and mechanisms of electricity markets. It addresses in particular their impacts on power/distribution systems operation and consequently the appropriate strategies capable to ensure a secure and reliable functioning. Electromagnetic compatibility (EN) In this lecture, students will get the basic knowledge on electromagnetic compatibility. Introduction to the design of space mechanisms (EN) Space environment is different from what we can experience on Earth, requiring specific design approaches in order to achieve reliable operations. Engineers must hence face new challenges stimulating their creativity to tackle those particular constraints. Lessons learned from the space exploration (EN) The objective of the course is to present with different viewpoints, the lessons learned which lead to the decisions in the space exploration and their consequences today and for the decades to come. A semester continuous evaluation is done through a conceptual study of a space project (see below). Spacecraft design and system engineering (EN) The objective of the course is to provide tools and notions for spacecraft design and systems engineering. The course will start with an introduction on systems engineering, then the different subsystems of a spacecraft will be explored. External teachers from industry will bring their expertise. Space mission design and operations (EN) Space mission design and operations takes you through the necessary concepts to understand a mission mission, from planning to actually flying the spacecraft. We will focus on concepts and see many examples ranging historical probes to very topical missions. Space sustainability, a multidisciplinary approach (EN) The students will learn the history and geopolitical challenges of space sustai. Different tools and methods to measure, understand and act for space sust. will be presented. Throughout group work, the students will evaluate the technical, economical, governance and geopolitical aspects of space sus Advanced lab in electrical energy systems (EN) Pre-requisites required. The number of places is limited. Please register only after having obtained the teacher’s agreement. The purpose of this teaching lab is to put together all the concepts learned during the course into electrical energy by the implementation of an islanded production unit. Usability engineering (EN) Introduction to Human Factors/Usability Engineering theory and research methods.
Human Factors Engineering/Usability is interdisciplinary and focuses on human cognition, behaviour and ergonomics in design. The course focus on human systems integration and human functions in machine/product systems. Deep Learning For Natural Language Processing (EN) This course covers advanced topics in deep learning architectures for natural language processing. The focus is on attention-based architectures, structure processing and variational-Bayesian approaches, and why these models are particularly suited to the properties of human language. Linear system theory (EN) The course covers control theory and design for linear time-invariant systems : (i) Mathematical descriptions of systems (ii) Multivariables realizations; (iii) Stability ; (iv) Controllability and Observability; (v) Minimal realizations and coprime fractions; (vi) Pole placement and model matching. Machine Learning for Engineers (EN) The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks. Research seminars in Electrical and Micro Engineering – FALL (EN) This course introduces students with broad research directions in electrical and micro engineering, via a series of weekly wide-audience seminars given by distinguished speakers. The students practice transferable skills including active listening, critical thinking, and scientific communication. Research seminars in Electrical and Micro Engineering – SPRING (EN) This course introduces students with broad research directions in electrical and micro engineering, via a series of weekly wide-audience seminars given by distinguished speakers. The students practice transferable skills including active listening, critical thinking, and scientific communication. Graph representations for biology and medicine (EN) Systems of interacting entities, modeled as graphs, are pervasive in biology and medicine. The class will cover advanced topics in signal processing and machine learning on graphs and networks, and will showcase applications of the tools in biomedicine. Advanced lll-Nitride Semiconductor Devices (EN) This course covers advanced topics on compound semiconductors (lll-Nitrides) and their heterostructures, from both physics and
engineering perspectives, to explain the principles of some of the widespread electronic and optoelectronic devices used in our lives
(LEDs, lasers, HEMTS, and power FETS). Training Large Language Models (EN) This PhD-level course dives deep into the training of Large Language Models (LLMs), focusing on the complementary roles of datasets, pre-training and post training methodologies in shaping model performance and scalability.
Network Neuroscience: Methods & Applications (EN) This course provides students with a solid background on theory and applications for brain network analysis. It involves concepts from signal processing and graph theory, applied to neuroimaging data to construct and analyse brain networks and their dynamics. Advanced topics in electromagnetic compatibility (EN) After a series of common introductory topics covering an introduction to electromagnetic compatibility, modeling techniques and selected chapters from EMC, each student will study a specific topic, which will be presented and discussed. Digital Speech and Audio Coding (EN) The goal of this course is to introduce the engineering students state-of-the-art speech and audio coding techniques with an emphasis on the integration of knowledge about sound production and auditory perception through signal processing techniques. Human language technology: applications to information access (EN) The Human Language Technology (HLT) course presents methods for accessing information enclosed in large text collections. While the focus is on neural language models, their evolution and relationship to statistical or symbolic models are also presented.
Design and Optimization of Internet-of-Things Systems (EN) This course provides a complete overview of the most relevant subfields related to Internet of Things (IoT) systems, it presents the perspectives and the underlying technologies, with a particular focus on edge AI architectures and software (AI and TinyML algorithms), communication and Cloud systems Online learning in games (EN) This course provides an overview of recent developments in online learning, game theory, and variational inequalities and their point of intersection with a focus on algorithmic development. The primary approach is to lay out the different problem classes and their associated optimal rates. Optimal Control for Dynamic Systems (EN) This doctoral course provides an introduction to optimal control covering fundamental theory, numerical implementation and problem formulation for applications. Introduction to wave scattering (EN) This advanced theoretical course introduces students to basic concepts in wave scattering theory, with a focus on scattering matrix theory and its applications, in particular in photonics. ELLIS Summer School on AI for Health (EN) The EPFL AI Center and the ELLIS EPFL unit are organizing the AI for Health Summer School, taking place on the EPFL campus from 7th to 11th July, 2025. This intensive week will delve into how AI is transforming biomedicine, with a focus on the intersection of AI, life sciences, and medicine. Fundamentals of Image Analysis (EN) This summer school is an hands-on introduction on the fundamentals of image analysis for scientists. A series of lectures provide students with the key concepts in the field, and are followed by practical sessions with popular software on the participants’ own image-analysis software. Data science for engineers with Python (FR) This course offers a gradual and comprehensive introduction to the field of Data Science through the Python programming language. It guides students from raw data manipulation to modeling and the extraction of meaningful insights from real-world data. Estimation methods (FR) The students treat observations affected by uncertainty in a rigorous manner. They master the main methods to adjust measurements and to estimate parameters. They apply specific models to real-world problems encountered in various experimental sciences. Computational methods and tools (EN) This course prepares students to use modern computational methods and tools for solving problems in engineering and science.
Fluid mechanics (for SIE) (EN) This course helps students acquire basic knowledge of the main concepts and equations of fluid mechanics and develop the skills necessary to work effectively in professional engineering practice. Construction contracts and liability (FR) Course (3 ECTS) on private construction law for students in architecture, civil and environmental engineering. Covers contracts (mandate, work), professional liability, dispute resolution, and risk management, with practical case examples. Signals, instruments and systems (EN) The goal of this course is to transmit knowledge in sensing, computing, communicating, and actuating for programmable
field instruments and, more generally, embedded systems. The student will be able to put in practice the knowledge
acquired using concrete software and hardware tools. Construction project management (FR) An architectural work with a distinctive quality is the result of a multitude of processes and various participants. Its success is closely linked to the organization set up by the architect during the different phases of the project. Energy supply, economics and transition (EN) This course examines energy systems from various angles: available resources, how they can be combined or substituted, their private and social costs, whether they can meet the energy demand, and how the transition to a renewable energy system can be fostered. Concurrent engineering of space missions (EN) The main objective of this course is to teach the students the fundamentals of concurrent engineering for space missions and systems. The course is built around a similar framework to that of the European Space Agency’s (ESA) Concurrent Engineering Challenge. Environmental transport phenomena (EN) The course aims at introducing basic physical aspects of molecular and turbulent diffusion, as well as of dispersion processes, their mathematical modeling, solutions and related environmental applications Risk management (EN) This course provides students with the opportunity to acquire the methods and tools necessary for modern risk management from an engineering perspective. It emphasizes stakeholders, resources, and objectives, while ensuring economic and social sustainability. Safety of chemical processes (EN) The main focus of the lecture is on reactive hazards (thermal process safety) + introduction to explosion protection. While being based on theory, the lecture is oriented towards industrial practice.
The lecture is 7x4h Food chemistry (FR) Presentation of the properties, the functionality, and specific reactions of the important food constituents: water, proteins, carbohydrates, lipids, vitamins, minerals, additives and toxic components.
Chemistry of food processes (EN) The course will deliver basic knowledge on the principles of food processing and chemical changes occurring during food manufacturing. Specific thermal processes related to transformation of food raw materials will be described along with benefits and challenges to consider. Food biotechnology (EN) The course will deliver basic knowledge on the principles of food fermentation and enzyme technology. The course will also present benefits that food biotechnology can bring in terms of Nutrition & Health and Sustainability. Environmental impact assesment (FR) Presentation of the bases of the environmental impact assesment (EIA), context. Assesment methodology and tools for each of the topics and chapters. Illustration with many real cases, and group work. Discussion of the limitations of EIA and new tools such as strategic environmental studies. Space propulsion (EN) The main objective of the course is to provide an overview about space propulsion systems like thermal propulsion systems, chemical propulsion systems and electrical propulsion systems. The secondary objective is to discuss all relevant equipment needed for propulsion systems . Digitalization in electricity systems (EN) Participants will be equipped with specialized knowledge, grounded on latest academic research and professional practice, on potential applications and risks digitalization tendencies pose to the operation and planning of electricity systems. Design of experiments (a) – Fall semester (EN) Next course will take place on October 26-27, November 2-3, November 9-10, 2026.
The course teaches the acquisition of a methodology of designing experiments for optimal quality of the results and of the number of experiments. Videomaking for science communication (EN) The goal of this introductory workshop is to teach participants how to craft compelling and accurate science stories with engaging videos. How to prepare successful Grant proposals (EN) You will learn where to look for appropriate fellowship or research funding, how to apply for specific instruments, and how to prepare a written application. You will also gain an understanding of how proposals are assessed by funders and hone your proposal writing skills through peer review. Power electronics for renewable applications (EN) Introduction to key aspects of power-electronics utilization in renewable energy applications, including the basic operation principles, system-level properties, control, and modeling. Practical experiences are gained via the simulation exercises. Scientific Writing (EDCH) (1) (Fall) (EN) To make researchers aware of good scientific writing
To help them structure their articles
To point out pitfalls in scientific writing
To enable researchers to face their writing with confidence
To deal with specific problems in writing research proposals Scientific Writing (EDCH) (2) (Spring) (EN) To make researchers aware of good scientific writing To help them structure their articles To point out pitfalls in scientific writing To enable researchers to face their writing with confidence To deal with specific problems in writing research proposals Topics in Autonomous Robotics (EN) Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises. Communication in science and technology (EN) This PhD course teaches basic theories and skills of
communication, and discusses current topics with internal/external lecturers. Goal: give an overview and prepare interested PhD scientists to the field of science communication. Held from Sept. to Dec. 2026. Hybrid. Biomass conversion (EN) The learning outcomes are to get to know the biomass ressources and its characteristics; study of biomass conversion pathways and study of process flow-sheets; establish the flow diagram of an industrial process with biomass as feedstock and calculate the corresponding mass and energy balances; etc Information literacy for chemists (EN) Concepts and tools to understand and use the modem chemical information environment Learn how to explore the scientific literature, how to use the information found in agreement with intellectual property laws, and learn about the current trends impacting chemists as creators of knowledge. MINTT: Management of Innovation and technology transfer (EDOC) (EN) mintt’s purpose is to provide EPFL PhD students with an accelerated training in invention management, assessment of the
potential, intellectual property rights elaboration, license negotiation, start-up option evaluation and experience sharing in
the field of innovation. Science and Engineering Teaching and Learning – FALL (EN) This course develops teaching skills through the introduction of research-informed approaches and the opportunity to practice strategies appropriate for higher education science and technology contexts (exercises, labs, projects and traditional courses). Science and Engineering Teaching and Learning – SPRING (EN) This course develops teaching skills through the introduction of research-informed approaches and the opportunity to practice strategies appropriate for higher education science and technology contexts (exercises, labs, projects and traditional courses). Lecturing and Presenting in Engineering (EN) Informed by contemporary research on teaching engineering, participants design and deliver lessons for specific audiences. This course is relevant for teaching assistants and those who intend to make teaching science or engineering part of their career, in a formal or informal way. Supervising Students in Projects (EN) The combination of practical and reflective activities in this course provide participants with evidence-informed teaching skills for supervising and evaluating students working on projects. Motion Design for Science (EN) This course is designed to empower students with skills in motion design, allowing them to breathe life into their ideas & scientific figures. We will work on exercises to animate scientific images, build towards animating a figure, then each student will design & animate their own work. Creating & capturing value from innovative tech (EN) In this hands-on course, we will learn how to identify and evaluate business opportunities stemming from an innovative technology, and how to set the ground for a successful entrepreneurial endeavor. Teaching STEM: a problem solving approach (EN) Problem solving is a core engineering skill. This course explores relevant heuristics, epistemologies, metacognitive skills and evidence-informed teaching strategies for developing problem solving skills that transfer from paper-based exercises to complex, real world engineering situations. Interdisciplinary seminar series (EN) This course focuses on interdisciplinary research communication through dynamic presentations, feedback, and collaboration with diverse audiences. Project Management and Effective Leadership (EN) This course provides a foundational understanding of project management and leadership, typically in any professional environment, including while not limited to industry and academics. Thin Film Lubrication and Gas-Lubricated Bearings (EN) This course introduces thin film lubrication and its applications to gas-lubricated bearings, including rotordynamics to enable the assessment of the operation of gas-bearing supported rotors. Sustainability in my research (EN) This course is designed to develop the necessary transversal skills to foster sustainability integration in the present and future research of the PhD students Dynamic programming and optimal control (EN) This course provides an introduction to stochastic optimal control and dynamic programming (DP), with a variety of engineering
applications. The course focuses on the DP principle of optimality, and its utility in deriving and approximating solutions to an optimal
control problem. PhD to CEO – Launching Technology Ventures (EN) The course focuses on launching technology ventures and academic spin-offs, covering foundational concepts of venture strategy and technology commercialization. Students gain real-life experience through hands-on startup projects based on own or other students’ inventions and discoveries. Ethical integrity in the sciences (EN) Students receive an overview of philosophical ethics as well as of ethics in the sciences and humanities. In addition, workshops involving physical movement and verbal exchanges inspired by performance art practices emphasize that ethical integrity is something enacted and embodied in practice. Kinematics grounded motion planning for robots (EN) Students learn forward/inverse kinematics, singularity analysis, and constraint-aware path planning for modern robotic manipulators, implementing kinematic models and planners in a final project. Doing research with and for people: design research methods for science and technology (EN) This course equips PhD students with user research methods to connect their doctoral work with society through hands-on, project-based learning. The practical skills and theory learnt are applicable at every stage of the PhD and for future careers in academia or industry. EECS Seminar: Advanced Topics in Machine Learning (EN) Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results. Sustainability (FR) This course presents global sustainability issues. It introduces the notions of planetary boundaries and social boundaries and their systemic interconnections. The interdisciplinary approach introduces group work and systems thinking (interdependencies in a complex system). Biology (EN) This course will cover the fundamental principles governing life and the living world. Topics will include the diversity of living organisms, cellular biology, genetics, evolution, and ecology. This course provides a foundation in biology, fostering critical thinking & analytical skills. Project oriented programming (for SIE) (FR) Introduction to environmental engineering (EN) Key themes in environmental science and engineering will be show-cased, with examples – from equator to the poles – including atmospheric processes and climate change, water quality, energy resources and urban development, with the amazing technologies used to study and address current challenges. Environmental chemistry (EN) This course provides students with an overview over the basics of environmental chemistry. This includes the chemistry of natural systems, as well as the fate of anthropogenic chemicals in natural systems. It enables students to apply general chemical concepts to natural systems. Microbiology for engineers (EN) “Microbiology for engineers” covers the main microbial processes that take place in the environment and in treatment systems. It presents elemental cycles that are catalyzed by microorganisms and that have a major impact on planet Earth. Atmospheric physics and the climate system (EN) The course provides an introduction to the physical and dynamical processes that govern the atmosphere at small and large scales. The basis is laid for an in depth understanding of our atmospheric environment and the climate system. Fundamentals in ecology (EN) The students will learn the fundamentals in ecology with the goal to perceive the environment beyond its physical and chemical characteristics. Starting from basic concepts, they will acquire mechanistic understanding of biodiversity, ecosystem functioning and global change. Hydrology for engineers (EN) This is an introductory course to key concepts and methods in physical and engineering hydrology. Pollutants analysis in the environment (FR) Evaluation of the quality of a river by using methods of observation as well as physico-chemical and biological methods. Collecting samples in the field and laboratory analysis.
Practical determination and use of the constants of complexes formation. Treatment and valorization of water and waste (FR) Water and waste management systems in Switzerland: from end-of-pipe treatment to closed-loop system. Principles of water supply, evacuation and treatment. Basis for the dimensioning of networks and treatment plants. Management, treatment and valorization of urban waste. Visits. French language. Physics and chemistry of the atmosphere (EN) The course provides an introduction to the physical and chemical processes that govern the atmospheric dynamics at small and large scales. The basis is laid for an in depth understanding of our atmospheric environment and the climate system. Aquatic ecosystems (EN) Inland waters are now being recognized are major players of global biogeochemical cycles. They also provide essential ecosystem services such as fresh water and fish, and link continental processes with atmospheric and marine processes. The understanding of the structure and function of inland water Remote sensing (FR) This course aims at exposing the students to the main concepts, instruments and techniques of environmental remote sensing. The interactions between waves and matter, different types of sensors and image-processing techniques are presented. Geographic information system (GIS) (FR) Acquisition of basic concepts and skills of (geographic) data structures and of their storage in (geographic) database systems. Learning of relevant geographic data analysis processes for environmental and civil engineers (spatial autocorrelation, spatial interpolation, digital elevation modeling). Environmental and construction law (FR) This course provides the students with the basic knowledge required to understand the legal aspects of their professional life in relation with spatial planning and environmental protection. Special emphasis is given to legal practical issues related to their profession. Environmental system analysis and assessment (FR) Facing environmental challenges requires to address it with a systemic perspective. Life Cycle Assessment (LCA) and Material Flow Analysis (MFA) are environmental assessment methods enabling the calculation of environmental performance of products, services and territories. Water and sanitation for development (EN) This MSc course deals with the water, sanitation and solid waste challenges in developing countries. You will learn about the current dialogue in these topics, identify key players, know existing options of water & sanitation technologies, and be able to design and evaluate a technical project. Water and wastewater treatment (EN) This course on water and wastewater treatment shows how to apply physical and chemical methods and techniques to produce drinking water, and how to implement and design different methods and techniques to eliminate organic matter, nitrogen, and phosphorus from wastewater. Atmospheric processes: from cloud to global scales (EN) The main objective is to present important atmospheric processes from the local to global scales. The course will start with cloud processes, continue to synoptic phenomena like extratropical cyclones and fronts, to finally cover numerical modeling at the regional and global scales. Sensing and spatial modeling for earth observation (EN) Students get acquainted with the process of mapping from images (orthophoto and DEM), as well as with methods for monitoring the Earth surface using remotely sensed data. Methods will span from machine learning to geostatistics and model the spatiotemporal variability of processes. Air pollution
(EN) A survey course describing the origins of air pollution and climate change Science of climate change (EN) The course equips students with a comprehensive scientific understanding of climate change covering a wide range of topics from physical principles, historical climate change, greenhouse gas emissions, the IPCC assessment to future scenarios and climate action. Ecohydrological modeling (EN) This course provides the theoretical basis for understanding and modeling the interactions between the hydrologic cycle, vegetation, soil, climate, and human society. Microbial ecology (EN) The course will focus on fundamental concepts of microbial ecology, plant-microbe interactions and environmental microbiology, with emphasis on bacteria and archaea, although fungi, algae, and protists will also be covered. Thermodynamics of the earth systems (EN) The objective of this course is to apply thermodynamic principles to understand the role of water in the Earth System. The aim is to provide a broad conceptual framework for understanding the thermodynamics of oceans and atmospheres, so material can be integrated into other study disciplines. Prototyping at the interface between disciplines (EN) This course will allow students to engage in hands-on projects in a dedicated workshop environment – the SKIL. Students work together in small groups on projects formulated together with the teacher and the highly specialized team of lab-managers of the SKIL. Students can also bring their own ideas. Urban hydrology (FR) This course in urban hydrology approaches urban water management from a global perspective, including the impacts of wet-weather discharges on receiving waters. Concrete solutions for urban water management are presented, in relation with climate change. River eco-morphodynamics and bioengineering (EN) The course deals with the interactions between hydraulics, solid transport by hauling and the watercourse space at the origin of the morphology and richness of habitats. Regime theory is presented and the quality of a stream’s habitat is assessed. Sustainability, climate and energy (EN) The course provides students with a comprehensive scientific understanding of the links between climate and energy systems in the context of sustainability. It will cover topics related to natural and anthropogenic climate change, the fundamentals of energy systems and their efficiency. Limnology (EN) Focus is on lakes, rivers and reservoirs as aquatic systems. Specific is the quantitative analyse (incl. exercises) of physical, biogeochemical and sedimentological processes. The goal is to understand the relevant processes for the water quality from an engineering perspective Exploratory data analysis in environmental health (EN) This course teaches how to apply exploratory spatial data analysis to health information. Teaching focuses on the role of GIS and spatial statistics in spatial epidemiology. It proposes a context to investigate the relationship between health, quality of life, and environmental characteristics. Sustainability assessment of urban systems (EN) This course enables students to think critically about sustainability and to carry out a sustainability assessment based on problems of urban areas. At the end of the course, students are able to develop their own sustainability assessment using the Sustainability Solution Space methodology. Urban Green&Blue infrastructure and global warming (EN) The course introduces the concept of green and blue urban infrastructure in the context of global warming. It presents knowledge, concepts, and methods for planning, developing, and maintaining an effective network of green and blue infrastructure in urban areas. Occupational and environmental health (EN) This course looks at the relationship between our environment – both professional and general – and our health. What hazards are associated with physical, chemical and biological pollutants? How can we assess the risks and prevent them? What health issues are associated with climate change?
Development engineering (EN) This course teaches the fundamentals of technologies for development (Development Engineering) to design, pilot, and deploy appropriate, affordable and robust technologies to address sustainable development challenges and especially those related to extreme poverty in Low-income settings. Environmental economics (EN) Starting with demand and supply and how markets work, as well as welfare assessment and social optimisation. Then moving on to the limitations of markets, particularly external effects, and developing instruments to correct these limitations â the instruments of environmental policy. Material flow analysis and resource management (EN) This course provides the basis to understand material and energy production and consumption processes. Students learn how to develop a material flow analysis and apply it to resource management cases. They analyze the implications of their models on resource use, economic activities and policy. Groundwater and soil remediation (EN) This course covers the essential knowledge of contaminant partitioning and techniques to monitor chemical species, physical extent of contamination and biological processes. In the second part, remediation approaches are tackled. This course represents the fundamentals of remediation. Fate and behaviour of environmental contaminants (EN) The student will learn the important processes that control the transport and transformation of organic chemicals in the environment, as well as the formulation and solution of quantitative models to describe these processes. Life cycle assessment in energy systems (EN) This course will introduce students to the Life Cycle Assessment (LCA) as a holistic approach to evaluate, among others, energy conversion technologies throughout their entire value chain, and across multiple environmental problems beyond climate change. Global change ecology and fluvial ecosystems (EN) Understand the functioning of rivers, focusing on hydrological, geomorphologic, biogeochemical and ecological components, and their linkages. Analyze impacts of global change on rivers ecosystems, develop skills related to synthesizing and interpreting literature and communicating science. Multivariate statistics in R (EN) Environmental datasets often contain numerous parameters. Multivariate statistics allow us to simultaneously explore, understand and model such datasets. This course provides conceptual introduction and guidelines for applying multivariate statistical tools using the R platform.
Hydrogeophysics (EN) This course aims to provide a solid methodological foundation for understanding the principles of geophysical techniques relevant for addressing hydrogeological and related environmental and engineering problems. The goal is to provide students with pertinent decision making capabilities. Hydrological risks and structures (FR) The course is an introduction to statistical hydrology with a focus on the hydrology of small mountain watersheds. The course includes a general introduction to risk management. It then introduces the student to extreme value theory and hydrological models. Physics and hydrology of snow (EN) This course covers principles of snow physics, snow hydrology, snow-atmosphere interaction, and snow modeling. It transmits detailed understanding of physical processes within the snow and at its interfaces with the atmosphere and the ground, and presents field, laboratory, and modeling techniques. Climate and water sensitive urban design (EN) This project-based course introduces students to the field of urban climate and hydrology, with a focus on nature-based solutions for the design of climate and water resilient cities. Sustainability robotics (EN) The goal of this course is to provide methods and tools of robotics in promoting sustainable development. The course is a balance between theoretical basics in robotics, associated case studies and project based learning. Image processing for Earth observation (EN) This course covers optical remote sensing from satellites and airborne platforms. The different systems are presented. The students will acquire skills in image processing and machine/deep learning to extract end-products from the images such as land cover or risk maps. Advanced satellite positioning (EN) All fundamental principles behind modern satellite positioning to acquire, track and evaluate direct and indirect satellite signals and process them in relation to example applications: Earth monitoring (landslides,…), high precision positioning (automated driving, robots,…) and time transfer. Sensor orientation (EN) Determination of spatial orientation (i.e. position, velocity, attitude) via integration of inertial sensors with satellite positioning. Prerequisite for applications related to remote sensing, environmental monitoring, mobile mapping, robotics, space exploration, smart-phone navigation, etc. Irrigation and drainage engineering (EN) The course aims at teaching the fundamentals of both irrigation and drainage techniques with particular attention to the soil water balance and related management, the materials, the construction methods as well as the environmental impacts and sustainability criteria of both practices. Biological Resource Recovery (EN) Principles and technologies of biological resource recovery from waste streams into valuable resources. Emphasis is placed on the microbial processes underlying these technologies, their engineering applications, and their role in advancing sustainable and circular environmental systems. Snow Science Winter School (WSL) (EN) The modern techniques and methods to measure snow properties in the field and in the laboratory are introduced by specialists in the corresponding field. The methods are applied in the field and in the laboratory and a report prepared using the measured data. Summer School: Forests in the Anthropocene (EN) The participants will reflect on their own scientific work with respect to other disciplinary methods and discuss possible benefits of interdisciplinary approach in their field. Moreover, students will further be able to learn the advanced methods used in the broad forestry field. Hands-on bioinformatics for microbial meta-omics (EN) This course will train doctoral students to use bioinformatic tools to analyse amplicon and metagenomic sequences. In addition, we will also touch upon meta-transcriptomics and meta-proteomics. EESS – CESS Seminar Course – option 1 (FALL) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 2 (FALL) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 1 (SPRING) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 2 (SPRING) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills Models for applied environmental economics (EN) Mainly based on the discussion of peer reviewed academic papers, the course introduces non economists to the main types of applied models used in environmental economic analysis: linear programming, partial and general equilibrium, game theory, and agent based models. Advanced topics in nuclear reactor materials (EN) To comprehend advanced aspects of materials science as applied to nuclear power (fission and fusion), to get acquainted with materials for advanced plants, advanced damage characterization and life-time assessments Nuclear computations lab (EN) To aquire hands-on experience with the running of large computer codes in relation to the static analysis of nuclear reactor cores and the multi-physics simulation of nuclear power plant (NPP) dynamic behaviour Sustainable Finance (EN) The Sustainable Finance course provides an overview of how climate change and sustainability concerns are reshaping financial markets, and of how financial markets can help address these challenges. Introduction to finance (EN) The course provides provides an introduction to valuation techniques, investment decisions, asset valuation and portfolio choice, financing decisions, derivatives pricing, and sustainable finance. Derivatives (EN) This course provides a detailed presentation of the standard models for the valuation and hedging of derivatives products such as European options, American options, forward contracts, futures contract and exotic options. Investments (EN) The course covers a wide range of topics in investment analysis Machine learning in finance (EN) This course aims to give an introduction to the application of machine learning to finance, focusing on the problems of portfolio optimization, return prediction, and textual analysis. A particular focus will be on deep learning and the practical details of applying deep learning models to finance. Accounting for finance (EN) The objective of the course is to provide participants with accounting mechanisms for understanding and anaalyzing the financial statements of a company. Financial applications of blockchains and distributed ledgers (EN) This course provides an introduction to Distributed Ledger Technology (DLT), blockchains and cryptocurrencies, and their applications in finance and banking and draws the analogies between Traditional Finance (TradFi) and crypto and the ways investors/traders can transact in those worlds. Probability and stochastic calculus (EN) This course gives an introduction to probability theory and stochastic calculus in discrete and continuous time. The fundamental notions and techniques introduced in this course have many applications in finance, for example for option pricing, risk management and optimal portfolio choice. Interest rate and credit risk models (EN) This course gives an introduction to the modeling of interest rates and credit risk. Such models are used for the valuation of interest rate securities with and without credit risk, the management and hedging of bond portfolios and the valuation and usage of interest rate and credit derivatives. Quantitative financial risk management (EN) This course is an introduction to quantitative risk management that covers standard statistical methods, multivariate models, risk measures, non-linear dependence structures (copula models), as well as credit risk. Ethical behavior in the financial industry (EN) We will focus on ethical dilemmas facing professionals in the financial industry. Cases based on real events will illustrate various kinds of transgressions. We will study what regulators and firms have put in place to mitigate these issues and propose some guiding principles for individual Financial intermediation (EN) This course provides a theoretical and practical overview of what financial institutions do, how they manage their risks, and how they are regulated. The course also discusses the causes and effects of financial crises, and how financial intermediation is affected by technological innovation. Open Economy Macroeconomics (EN) This course covers the basics of open-economy macroeconomic theory. It starts by the measurement and use of national income; it introduces exchange rates, interest rates and inflation in the short and long run. It then turns to fluctuations and the role of monetary and fiscal policies. Sustainable & entrepreneurial finance (EN) This course deals with the role of finance in the transition to a sustainable, low-carbon economy. Students learn how to apply asset allocation techniques to build sustainable portfolios, understand the entrepreneurial ecosystem, and discover the emerging asset class of impact investing. Advanced derivatives (EN) The course covers a wide range of advanced topics in derivatives pricing Venture capital (EN) The course applies finance concepts to the world of venture capital (VC). Students are introduced to all institutional aspects of the VC industry. Students analyze the relations between investors, general partners, and entrepreneurs, including limited partnership agreements as well as term sheets Financial big data (EN) The course introduces modern methods to acquire, clean, and analyze large quantities of financial data efficiently. The second part expands on how to apply these techniques and robust statistics to financial analysis, in particular to intraday data and investment strategies. Theoretical corporate finance (EN) The aim of this course is to expose students to important topics in the literature on corporate finance. The objective of the course is to give students a working understanding of key papers and to expose students to solution techniques to be applied in their own research. Empirical Asset Pricing (EN) This class is designed to give you an understanding of the basics of empirical asset pricing. This means that we will learn how to test asset pricing models and apply them mostly to stock markets. We will see which theories fare well and which ones do not. Information and Asset Pricing (EN) We study the role of information in equilibrium asset pricing models. We cover simple one-period models of incomplete and asymmetric information using competitive rational expectation equilibria and Bayesian-Nash equilibria. We extend to dynamic models. International Finance (EN) This is a doctoral level course introducing students to important topics in international finance. It also covers aspects of the recent financial crisis, such as market contagions, regulatory arbitrage and failure, stability issues of a currency union and of the banking system.
Dynamic Asset Pricing (EN) This course provides an advanced, research-oriented introduction to the methods and results of continuous-time (dynamic) asset pricing. Financial Econometrics II (EN) The course aims to give students the tools to write academic papers and is divided into two parts. The first part covers microeconometric methods including panel data, IVs, difference-in-differences, and regression discontinuity design. The second part covers structural estimations methods. Game Theory (EN) Game theory deals with multiperson strategic decision making. Major fields of Economics, such as Microeconomics, Corporate Finance, Market Microstructure, Monetary Economics, Industrial Organization, International Trade Theory all build on game theoretic foundations. Big Data and Machine Learning for Financial Economics (EN) This class is an introduction to Machine Learning and High-Dimensional Statistics in Finance. We start with a purely empirical approach, focusing first on high-dimensional regressions, then moving to kernel methods and deep learning, and then studying equilibrium implications. Asset pricing (EN) Its main objective is to rigorously develop the foundations of modern financial economics and asset pricing theory. While the focus of the course is theoretical, we will consider empirical evidence alongside. The course is designed for first-year PhD students in finance. Empirical Corporate Finance (EN) The aim of this course is to develop research capabilities in empirical corporate finance, introduce methodologies to
conduct empirical research in corporate finance, develop research ideas for term papers and dissertation topics. Sustainable Food: production, health & society (FR) The course presents various issues related to sustainable food: production, food security, nutrition and health, social and cultural issues. The interdisciplinary approach integrates social sciences and engineering sciences and introduces group work and scientific methodology. Sustainable Food: production, health & society (FR) The course offers an overview of issues linked to nutrition: sustainable production, food security, food safety, as well as food and health. The interdisciplinary approach integrates SHS with engineering sciences and introduces students to team work and to scientific methodology. Climate change A: causes, impacts, challenges (FR) The course deepens global climate-related issues: the climate system; the impacts of climate change; justice issues and governance ; climate objectives and policies. The interdisciplinary approach introduces group work and scientific methodology. Climate change B: causes, impacts, challenges (FR) The course deepens global climate-related issues: the climate system; the impacts of climate change; justice issues and governance; climate objectives and policies. The interdisciplinary approach introduces group work and scientific methodology. Diversity and Sustainability in Human Mobility (EN) Human and freight mobility in large cities is a complex process with dense population and many transport modes to compete for limited space. New emerging modes of transport, such as on-demand services, and new technologies, such as autonomous vehicles, create additional opportunities and challenges. Health A: Innovation, Equity, Sustainability (FR) The course provides an interdisciplinary examination of key global health challenges, focusing on biomedical innovations, pharmaceuticals, sustainability, mental health, and health policies. It offer a critical skillset to engineering students approaching these complex health challenges. Health B: Innovation, Equity, Sustainability (FR) The course provides an interdisciplinary examination of key global health challenges, focusing on biomedical innovations, pharmaceuticals, sustainability, mental health, and health policies. It offer a critical skillset to engineering students approaching these complex health challenges. Why do we live in a risk society? (FR) Are we living in a “risk society” ? To answer that question, we will analyze the various social processes (from the invention of probabilities to the rise of insurance companies, from the securing policies to the victims’ mobilisations) that contribute to the emergence of risk. Japan and China facing the challenge of modernization (FR) The course provides an introduction to the contemporary history of Japan and China. The success of Japan’s modernisation process, followed by the development of militarism, led to a confrontation with China, which was plagued by internal unrest and a regime of unequal treaties. Media, communication and culture (FR) This lecture would like to propose the creation of a knowledge about the history of media phenomenon and its involvements in Western society from the nineteenth to the twenty-first century. It provides the skills necessary to understand current events going back to their origins. State and human rights (FR) This course presents a basic introduction to the rights protecting citizens from government abuse. Social psychology and diverse societies (FR) This course examines the opportunities and challenges of multicultural societies: Students will be introduced to relevant theories and research in the field of intercultural social psychology. Artistic practices â cyber-criticism (FR) The class « Cyber-Critical Artistic Practices » proposes to question the contemporary implications of digital technology by the means of art. Philosophy of biology (FR) Identify and understand central issues in the philosophy of biology, notably about biological evolution and the emergence of life. Evaluate and compare crucial arguments in the debates. Synthesize the discussion and thus formulate and defend one’s own position. Musicology and aesthetics (FR) Recount the history of musical styles practiced in classical music of the 20th century. Understand and analyze the various contexts, musical languages and the currents of ideas. Know some of the major works of the classical repertory of the 20th century. Work and organisations – work collectives (FR) This course-seminar aims to address the collective organization of work from a sociological rather than a managerial perspective. It explores the past, present, and future of human labor in a context of profound transformation. History of energy: from windmills to nuclear power (FR) This seminar-course deals with the development of energy-related technologies in Switzerland in the 19th and 20th centuries. Thanks to the interactive analysis of period documents (sources), the student develops an awareness of the relationship between the technological and the social. Artistic practices – imagining and drawing (FR) This course offers students an overview of contemporary drawing through exploration and experience, and more specifically to think of drawing as an economy. Regular practice is accompanied by presentations and references mainly from the artistic field. Contemporary Russia: from the Empire to the USSR (FR) This course, through a thematic and chronological approach, examines the major events that shaped Russia and the Soviet Union between 1800 and 1940, as well as the profound territorial, social, and cultural transformations whose legacy continues to influence the contemporary world. Graphic Design – Illustrative approach (FR) The course offers a practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial Design – Initiation project (FR) The course consists in practical teaching that allows acquiring the bases of industrial design by confronting the students with the creation of an object. Wellbeing and Planetary Boundaries (FR) A course for future scientists and engineers who want to build judgement under complexity: how to set priorities, assess trade-offs, and contribute to wellbeing for all within planetary boundaries. Psychology and social cognition (FR) This course addresses the main contributions of social psychology in the field of social cognition: 1) modes of information processing, 2) the perception of self and others, 3) the activation and regulation of behavior, and 4) the relationships between cognition and emotion. Gender and representation (FR) This course contextualizes gender in daily practices to critique it and to expose the lines of force that run through it and the hierarchies it creates. Students will develop their critical judgment to enable them to defend their theoretical and political positions.
Introduction to affective and social psychology (FR) This course introduces the foundations of affective and social psychology. It draws on key theories, fundamental research, and core methods in the field to understand how affective, motivational, and social factors shape behavior. Film history and theory (FR) JAPANESE CINEMA, IMAGINATION OF DISASTER: This course aims to offer a history of cinema through the prism of Japanese cinema, and different critical and theoretical approaches linked to the production of representations of disaster. Business law (FR) This course provides legal tools for the analysis of concrete economic situations and the identification of relevant rules from a business perspective. Science and Politics in Times of Crisis (EN) This course examines the role of scientific knowledge during high-stakes political crises related to health, climate, and the economy. In a group project, students apply evidence-informed policymaking frameworks to design a crisis management plan. Introduction to cognitive psychology (FR) This course introduces the foundations of cognitive psychology through the study of major cognitive processes such as attention, perception, learning, and memory. It draws on key theories, fundamental research, and core methods in the field to understand cognition. Ancient Mediterranean: gods, heroes and monsters (FR) The course explores the myths and founding texts of ancient cultures (the biblical world, Greece, Rome, Egypt). By exploring their meanings and how they have been received, it aims to unfold a history of the imagination that helps us better understand the diverse nature of our own culture. Philosophy of science (FR) This course offers to identify and understand central issues in the philosophy of science, for instance the debate on different models of scientific explanation. Evaluate and compare crucial arguments in the debates. Present a position/a debate and manage the discussion. Musicology and history of music (FR) Recount the historical practices of improvisation from early music of the Renaissance to present modern day. Understand and analyze the various contexts, styles, musical genres in which improvisation is at the forefront. Know some of the major works from the classical repertory and the treatises. Contemporary Iran (FR) This course is an introduction to contemporary Iran. It emphasizes on the three dimensions of Iranian identity: nationalism (Iranian culture), Shi’ism, Western influence. History of international relations (FR) This course examines international relations during the Cold War and discusses the enduring dynamics that have emerged from this global history and continue to shape the world today. Competing with China (FR) The course raises awareness on the implications of China’s emergence as an economic and technological power by developing a critical approach on the domestic and international challenges created by such a transition. What are scandals made of ? (FR) The aim of this course is to understand these recurrent and disruptive social phenomena that constitute scandals, affairs and controversies, which have in common to be made of mobilisations. Contemporary international history (FR) Brain, mind and society (FR) This course aims to address topics related to research on brain causes of human actions. The course will introduce to fundamental concepts in psychology, cognitive and social neurosciences and the links between brain and mental illness. Health, populations and society (FR) This course uses the topic of tobacco as a guideline for exploring the various dimensions of a major public health problem and its multiple implications. The teachers will extend the discussion of tobacco products to other similar issues. Global health issues will be addressed. Feminist Studies of Science and Technologies (FR) This course proposes to explore the field of Feminist Science and Technology Studies
(Feminist STS) in order to learn how to decipher issues of gender, race and class related to science and technology. Sports competitions and environmental issues (FR) This curse proposes to work on the relationship between international sport competitions and environmental issues (from the 1920s to the present day). For the sake of consistency, the focus will be on the Olympic Games (summer and winter). Contemporary Africa (FR) This course is an introduction to the central questions at stake in contemporary Africa. Considering the sheer impossibility of “understanding Africa”, the course will explore case-studies and themes, starting with the image of Africa in the world, using the tools of historical analysis. Chine : une nouvelle puissance globale ? (FR) The course examines contemporary China, from Deng Xiaoping’s economic opening to its rise as a global power. It explores its industrial transformation, internationalization through FOCAC and the Belt and Road Initiative, as well as its internal and external political and geopolitical challenges. History and theory of photography (FR) The class offers an introduction to the history of photography trough the presentation of ten key notions, analysed historically from the 19th to the 21st century. Musical theory and creativity (EN) This course provides an introduction into music theory and analysis, composition, and creativity, and combines theoretical teaching with hands-on practical exercises and music making.
Human evolutionary biology (FR) Evolutionary psychology is a discipline at the intersection of biology, psychology, anthropology, and the social and natural sciences that examines human psychological traits and behaviors from an evolutionary perspective. Learning and collaboration in projects (EN) This course addresses the theoretical and practical basis of learning and how to facilitate learning through projects. Active exploration of models, contexts and tools used in project-based learning will help you to develop cognitive and collaboration skills applicable to any project-based context.
Introduction to linguistics (FR) This introductory course is devoted to linguistics, it focuses on the units, rules and functions of human languages. Infrastructures et sciences sociales (FR) This course offers a perspective from social sciences to analyzing infrastructures (from planning to their governance). It will address issues of ecology, accessibility, contestation, risks, and citizenship based on different case studies worldwide. Global issues of the digital society (FR) The course presents current global issues related to instant communication and social media. The interdisciplinary approach integrates humanities and social sciences, as well as engineering sciences and introduces students to group work and the scientific approach. Artificial intelligence and society (FR) This course integrates social sciences and humanities with engineering sciences, and introduces students to the social, technical and political issues surrounding artificial intelligence. Science, Technology & Vulnerability (FR) This course explores how science and technology can address extreme vulnerability caused by poverty, crises, and conflict in the context of climate change. The course describes key principles for designing sustainable solutions tailored to the needs of affected populations. Equality and technology (FR) This course explores the meaning of equality, its realization in society, and its relation to technology. Sustainable Management and Finance (EN) This course provides the foundations of sustainable management and finance. It details how the transgression of planetary boundaries affects our economic organization, reviews the responsibility of corporations and examines the levers of action for the State and the Finance sector Science fiction and digital dystopias (FR) The aim of this course is to study the various manifestations of totalitarian worlds in (science) fiction. More specifically, we will examine how writers narrate human alienation from the digitalâas well as the anthropological functions of such narratives. Energy and innovation (FR) This course offers an introduction to the technical, social, and economic fundamentals of energy. You will acquire core knowledge to engage in informed discussions on energy-related topics. The course also explores the role of innovation. The Energy Transition : challenges and opportunities (FR) This course explores the energy transition from a system based on fossil fuels to a model based on decarbonised energy sources, sobriety and efficiency, and highlights the main technological, socio-economic and geopolitical issues involved. Mediterranean Antiquity: the past in the present (FR) Pop culture has always drawn, and continues to draw, on the myths and figures of the ancient Mediterranean. Egypt, Greece and Rome inspire video games as well as mainstream films, series, comics and novels. The aim of this course is to analyse such works. The graphic novel genius: Alan Moore (FR) This course aims to cover the works of comic book writer Alan Moore, arguably the most influential writer of all time, and to introduce students to concepts of comic book analysis, from the simplest to the most complex, in order to demonstrate the richness of this medium. Utopian and dystopian environments (FR) This course will analyze the literary genres of utopia and dystopia through the prism of ecopoetics and environmental issues, in a French-language corpus that crosses science fiction, the anticipation narrative and the post-apocalpytic novel. Data-driven interface design (EN) This course explores how data from digital interactions can be analyzed to improve design, usability, and engagement. Students will learn quantitative methods to collect, organize, and interpret data, generating insights to enhance digital services and user experiences.
Video games and society (FR) This class is an introduction to sociological perspectives on culture through the study of video games. Relying on research on the production of culture and audience studies, it sheds lights on its uses and its economics. Graphic Design – Experimental approach (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial design – form, function and materials (FR) Practical teaching that allows acquiring the bases of industrial design by confronting the students with the creation of an object. Law of technological research (FR) Between law and ethics, this course presents the standards that govern research and, more specifically, research involving human beings. Students will acquire a global and practical vision of this subject. Digital Health and International Human Rights Law (EN) The proposed course provides an introduction to international human rights law (IHRL), its interpretation and mechanisms, and analyses its interactions with the use of digital solutions and AI in healthcare Visual culture, image history (FR) This course offers a material and environmental approach to images and media from the nineteenth to the twentieth century (magic lantern, photography, film, digital media, AI, etc.). Global environmental history (FR) This course focuses on the debates and theories around the concept of the Anthropocene. It offers a critical analysis of the human origins of climate change and explores the political implications of this phenomenon for global environmental management. Ancient Mediterranean: Love, war and death (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions helps us to better understand the heterogeneous nature of our own culture. Physics and philosophy in the 20th century (FR) Philosophy of nature : Physics and philosophy in the 20th century. The course considers the philosophy of physics from Newton via Einstein to quantum physics Sciences, raison et foi (FR) The purpose of this course is to examine the various relationships that exist between science and religion. Modern India: politics, society and religion (FR) The course offers an overview of modern Indian history, from the colonial era to the present, to help students understand the unique characteristics and challenges of this vast country. Topics covered include colonialism, the partition of India and Pakistan, and the development of the modern state. Engineers and society – Careers and prospects (FR) This course-seminar gives participants the opportunity to understand how the profession has evolved and to reflect on their future role as engineer-managers in a context of profound change. Artistic Practices – Artificial intelligence (EN) Artificial Intelligence (AI) is changing how we imagine stories, experiences, and interactions. Rather than treating AI as a threat to existing creative practices, we will explore how different AI tools can open new ways of thinking, making, and prototyping. China, Korea and Japan after World War II (FR) The course examines the development of East Asian countries during the Cold War: the victory of the Communist Party in China, the reconstruction and second modernisation of Japan, and the wars in Korea and, if time allows, Vietnam. Thinking differently about video games (FR) The objective of the course is to develop a methodology for analyzing video games, with the help of Games Theory, Fiction Theory and Gameplay Theory. The aim will be to present how video games can be used to illuminate knowledge and, in turn, to be illuminated by it. Design graphique – approche communicative (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Design industriel – projet expérimental (FR) The course offers an exploration and experimentation of the specificities of industrial design by engaging students in the creation of an object. It is a practice-based course centered on the development of a semester project. Transport and energy: historical approaches (FR) This workshop-course deals with the development of mobility-related technologies in Switzerland in the 19th and 20th centuries. Thanks to the interactive analysis of period documents (sources), the student develops an awareness of the relationship between the technological and the social. Media and society (FR) This course explores the history of superheroes with the aim of raising students’ awareness of the processes by which cultural phenomena are constructed and empowered within the media sphere. It provides the skills to understand current phenomena by tracing them back to their origins. Ancient Mediterranean: bringing myths up to date (FR) In the form of group projects, the course explores the founding texts of ancient cultures (Ancient Near East, Greece, Rome, Egypt).
At the end of the semester, the groups present their work in a fun and educational way. Capitalism, Socialism, and the History of Ideas (FR) This course provides an introduction to the history of economic ideas through an examination of the major debates that have opposed proponents of capitalism, socialism, and alternative forms of economic organization. Social psychology: Social perception (FR) This Social Psychology course covers the social-cognitive processes involved in social judgment and impression formation. Introduction to intellectual property law (FR) This course provides basic knowledge about the various intellectual property rights that every engineer and scientist has to deal with. Students will become familiar with the legal systems pertaining to patents, trademarks and copyright. Science, Technology and Society (FR) This course will explore the complex relationships between science, technology and society. It will enable students to acquire theoretical and methodological tools drawn from the Social Studies of Science and Technology (STS), in particular through an investigation of a controversy.
Memory sciences (FR) Describe cognitive and cerebral processes underlying memory and self processes.
Identify differences and similarities between neurobiological and clinical approaches.
Understand theoretical and clinical concepts underlying psychoanalysis and their scientific implications.
Darwin, religion and science (FR) This course takes the long history of opponents of Darwin and Darwinism (creationists, neo-creationists, supporters of intelligent design) to try to understand their strategies and arguments.
Innovation and emerging markets (FR) The course raises students’ awareness of the importance of emerging markets in the global innovation landscape. It provides modeling tools for analyzing product and service innovations in the context of emerging markets. Digital humanities (FR) This course explores how the Humanities are being transformed in the age of AI and big data. Each session focuses on the future of a specific discipline (history, philosophy, art history). Students develop a digital prototype (Vibe coding) to accelerate research and training in SHS. Foreign relations and Switzerland (FR) Based on a critical analysis of archives, this course will address the major stages in Swiss History in the 19th-20th centuries through the scope of the country’s international relations. Video games and gamification (FR) This course offers the opportunity to acquire skills in video game creation, while inviting students to apply their knowledge to a collective project of gamifying scientific content. Anthropology of belief (FR) This course is an introduction to the question of conspiracy theories especially in the field of science Perspectives critiques de la durabilité (FR) This course will start from the paradigms of sustainability and contemporary social and political consequences. We will take a critical approach to the various theories, identify the actors who promote them and study the social movements.
Manufacturing artistic identities from the 19th to the 21st centuries (FR) The course offers an introduction to the history of contemporary art from the 19th to the 21st century, allowing the works to be approached from an aesthetic and social point of view. Design for sustainability I (EN) This course explores and practices some of the fundamental tools of designing for sustainability with a focus on the sustainability, desirability, and economic viability of solutions. Design for sustainability II (EN) This course explores and practices some of the fundamental tools of designing for sustainability with a focus on the sustainability, desirability, and economic viability of solutions. Artistic practices: field studies, film practice I (FR) This course consists in two options, in english and in french: ‘Elsewhere Encounters’ will explore different approaches of field studies from within the field of artistic practices ; ‘Film’ addresses cinematographic techniques and will produce a short film. Media culture I (FR) This course provides theoretical and methodological foundations for a sociological approach of media (particularly sports media). It helps students to think critically the media culture and its effects. Media culture II (FR) This course provides theoretical and methodological foundations for a sociological approach of media (particularly sports media). It helps students to think critically the media culture and its effects. Graphic design I (FR) This course offers practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial design I (FR) This course introduces students to the fundamentals of industrial design through the design and development of a functional object. The project concludes with the realization of a functional prototype, produced in collaboration with a local artisan or industrial partner. Thinking the nature I (FR) The course in an open approach to the constructions of Nature by different sciences and cultures. It emphasises the plurality of appearances of the object called “Nature” and the roles which it plays or are given to it, notably in opposition to the artificial. Law and technology I (FR) This course presents the legal framework applicable to certain issues in technical fields, such as construction law, computer law, biotechnology, data protection, digitalisation, robotization. Graphic design II (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. The ethics of engineering I (EN) Working in groups, students provide an ethical analysis of technological applications. They study how their features combine with the socio-material environment to impact values, and what solutions are available to change this impact in desirable ways. Industrial design II (FR) This course introduces students to the fundamentals of industrial design through the design and development of a functional object. The project concludes with the realization of a functional prototype, produced in collaboration with a local artisan or industrial partner. Political Systems in Central and Eastern Europe I (EN) This course compares political regimes in Central and Eastern Europe, linking domestic dynamics with external constraints. It examines authoritarian, hybrid, and democratic trajectories, including Central European democracies and Swiss direct democracy.
Political Systems in Central and Eastern Europe II (EN) This spring continuation guides students through an individual research project on political regimes in Central and Eastern Europe, focusing on external constraints, economic dependence, sanctions, authoritarian adaptation, hybrid regimes, and comparative democracies, including Switzerland. Law and technology II (FR) This course presents the legal framework applicable to certain problems. This course presents the legal framework applicable to certain problems in technical fields, such as construction law, computer law, biotechnology, data protection, digitalisation, robotization. Humans/machines (FR) This course combines cultural (particularly literary and artistic), social and scientific approaches to explore the issues, perspectives and problems raised by the hybridization of human and machine. Philosophical perspectives on the exact sciences I (EN) The course considers central themes in the philosophy of science. Starting from the debate between Leibniz and Newton about space and time, we move on to the transition from classical to quantum physics, the explanatory role of mathematics and philosophical questions about artificial intelligence. Picture history I (FR) The class proposes to examine Expo 64, the Swiss National Exhibition held in Lausanne in 1964, inviting students to engage with its remnants in order to revive its history and shed light on its contemporary resonance. Myths of the ancient Mediterranean Sea I (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions, it helps us better understand the heterogeneous nature of our own culture. L'(in)action pro-environnementale I (FR) This Social Psychology course examines the gap between intentions and behaviors, the barriers to individual and collective action, and the moral justification mechanisms that allow inaction to persist despite awareness of environmental issues. L'(in)action pro-environnementale II (FR) This Social Psychology course examines the gap between intentions and behaviors, the barriers to individual and collective action, and the moral justification mechanisms that allow inaction to persist despite awareness of environmental issues. Montreux Jazz, Classical and Contemporary Music I (FR) The aim of this course is to produce a 15-minute audiovisual documentary on a musical topic of the student’s choice, ranging from the 17th century to the present day (classical music, jazz, and other musics), with the option to work with the Montreux Jazz Festival archives. Montreux Jazz, Classical and Contemporary Music II (FR) Continuation of the HUM-421(a) course, including the project Understanding modern Switzerland I (EN) This course provides a general introduction to Swiss history, its culture, its economy and its political system since 1848 until today. Digital health & social psychology I (EN) Does more data mean better health? Drawing on health and social psychology, this course questions the biomedical model as socially situated, questioning whether the promises of digital health to improve wellbeing are supported by the research behind them. Digital health & social psychology II (EN) Does more data mean better health? Drawing on health and social psychology, this course questions the biomedical model as socially situated, questioning whether the promises of digital health to improve wellbeing are supported by the research behind them. Critical thinking I (EN)
This course will develop logical reasoning and argumentation skills to enable you to influence decision making. You will achieve this by learning how to represent and communicate your reasoning as arguments, and by continuously practicing logical reasoning and problem solving in teams.
Science, technology and environment II (EN) Science and technology have profoundly transformed our world. In the current crisis, they emerge as both solutions and problems. The course explores the complex relations between science, technology, and ecological issues. Students will conduct their own inquiry of human-transformed environments. History of globalization I (EN) Globalization is the linguistic omnivore of our times. This course addresses the long history of worldwide encounters and goes behind the rosy vision of a global village. It gives particular attention to inequalities and to the men and women who fought for alternatives to capitalism. Science, technology and environment I (EN) Science and technology have profoundly transformed our world. In the current crisis, they emerge as both solutions and problems. The course explores the complex relations between science, technology, and ecological issues. Students will conduct their own inquiry of human-transformed environments. Philosophy of life sciences I (FR) Understand and discuss central issues in the philosophy of life sciences, e.g. that of reductionism or why free will might be an illusion. Transpose problems and arguments from one debate to another. Evaluate the impact of the scientific worldview on us. Philosophie des sciences de la vie II (FR) Evaluate the main positions in a chosen philosophical debate. Develop in your group a solid approach to one or more philosophical problems of that debate. Defend your analysis and conclusions. How people learn: Designing Learning Tools I (EN) The students will understand the cognitive and social factors which affect learning – particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. How people learn: Designing Learning Tools II (EN) The students will understand the cognitive and social factors which affect learning – particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. China: the rebirth of a great power I (FR) Through the lens of how China becoming global, it will provide understanding, not only on its impacts to the world, but also on how Chinese globalization has brought transformations to the contemporary Chinese society. Managing organizations I (FR) This class is about organization management, going from entrepreneurship to people management in corporations, public administration or non profit organization studies. In particular, participants will learn to manage projects and practice leadership. Sciences and religions I (FR) The aim of this course is to explore the complex relationships between science and religion (conflict, concordism, complementarity) Scientific research in all it forms I (FR) This course offers a multidisciplinary perspective on research. While addressing this topic, speakers from different faculties will shed light on their own way of practicing research.
Passive knowledge of French required.
China: the rebirth of a great power II (FR) Through the lens of how China becoming global, it will provide understanding, not only on its impacts to the world, but also on how Chinese globalization has brought transformations to the contemporary Chinese society. Contemporary Japan I (EN) Introduction into the culture of Japan – its thought and way of life – designed to foster future study of the archipelago. We elucidate the specificities of a Japanese identity that is imbued with both tradition and openness to innovation, to create sustainability – society, economy, environment. Contemporary Japan II (EN) Introduction to the culture of Japan – its thought and way of life – designed to foster future study of the archipelago. It elucidates the specificities of a Japanese identity that is imbued with both tradition and openness to innovation, for creating sustainability – society, economy, environment. Sciences and religions II (FR) Can one be a scientist and a believer at the same time? Is science the enemy of faith? Should a scientist always be an atheist or an agnostic? These are some of the questions dealt with in this seminar. Its purpose is to present the various forms of the debate between science and religion. Digital urban history: Lausanne Time Machine I (FR) This course is part of a series of interdisciplinary and collaborative courses open to students from UNIL and EPFL.
It focuses on urban history through the application of computational methods and the development of a digital project in group. Artistic practices: field studies, film practice II (FR) This course consists in two options, in english and in french: ‘Elsewhere Encounters’ will explore different approaches of field studies from within the field of artistic practices ; ‘Film’ addresses cinematographic techniques and will produce a short film. Myths of the ancient Mediterranean Sea II (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions, it helps us better understand the heterogeneous nature of our own culture. Philosophical perspectives on the exact sciences II (EN) The course considers central themes in the philosophy of science. Starting from the debate between Leibniz and Newton about space and time, we move on to the transition from classical to quantum physics, the explanatory role of mathematics and philosophical questions about artificial intelligence Digital urban history: Lausanne Time Machine II (FR) This course is part of a series of interdisciplinary and collaborative courses open to students from UNIL and EPFL.
It focuses on urban history through the application of computer methods and the development of a digital project. Scientific research in all it forms II (FR) Au cours d’un travail pratique, l’étudiant aura l’occasion de s’initier à une méthode ou technique de recherche qui lui est peu familière (ex: entretien semi-directif, questionnaire, enquête de terrain, analyse conceptuelle, recherche historique, etc.). The ethics of engineering II (EN) This module focuses on the idea of value in design and the ethics of artefacts more in general. Managing organizations II (FR) This class is about organization management, going from entrepreneurship to people management in corporations, public administration or non profit organization studies. In particular, participants will learn to manage projects and practice leadership. History of globalization II (EN) Globalization is the linguistic omnivore of our times. This course addresses the long history of worldwide encounters and goes behind the rosy vision of a global village. It gives particular attention to inequalities and to the men and women who fought for alternatives to capitalism. Humans/machines II (FR) This course combines cultural (particularly literary and artistic), social and scientific approaches to explore the issues, perspectives and problems raised by the hybridization of human and machine. Thinking the nature II (FR) The course in an open approach to the constructions of Nature by different sciences and cultures. It emphasises the plurality of appearances of the object called “Nature” and the roles which it plays or are given to it, notably in opposition to the artificial. Understanding modern Switzerland II (EN) Based on the knowledge acquired during the fall semester course (Understanding modern Switzerland I), students are asked to work by group of 3-4 students and prepare a paper on a topic previously discussed with the teachers. Picture history II (FR) The seminar proposes to examine Expo 64, the Swiss National Exhibition in 1964, inviting students to engage with its remnants in order to revive its history and shed light on its contemporary resonance. Economic growth and sustainability II (EN) In this seminar, students work in groups to prepare a report illustrating material taught in the first semester. Specifically, the groups will choose a significant environmental impact or resource use, and apply decomposition analysis to understand the role of the underlying drivers. Economic growth and sustainability I (EN) This course examines growth from various angles: economic growth, growth in the use of resources, need for growth, limits to growth, sustainable growth, population growth. Although grounded in economics, it takes up elements from many other disciplines. Media in Transition: History and Issues in Discourse I (FR) Dive into the transformations of news media in the 20th and 21st centuries. In this project-based course, you will develop a critical perspective on journalism (from print to today’s digital practices), meet practitioners, and learn how to create an online exhibition. Media in Transition: History and Issues in Discourse II (FR) Dive into the transformations of news media in the 20th and 21st centuries. In this project-based course, you will develop a critical perspective on journalism (from print to today’s digital practices), meet practitioners, and learn how to create an online exhibition. Ecological transition: theory and practice I (FR) This course, taught in English, explores the challenges of the ecological transition. It covers various topics (climate, biodiversity, energy, transition theories, sustainable business models, etc.) and includes field trips as well as partnerships with local stakeholders involved in the transition. Ecological transition: theory and practice II (FR) This course, taught in English, explores the challenges of the ecological transition. It covers various topics (climate, biodiversity, energy, transition theories, sustainable business models, etc.) and includes field trips as well as partnerships with local stakeholders involved in the transition. Emotion, value, and life-defining choices I (EN) Most of us aspire to live meaningful lives. Yet, many of us would struggle to explain what a meaningful life is. This course provides philosophical tools and frameworks useful to understand our aspiration for meaning.
Emotion, value, and life-defining choices II (EN) In this master’s project seminar, students prepare a high-quality article embodying the philosophical ideals of clarity, concision, and aspiration to truth. Students also defend the claim made in their article by delivering a professional presentation.
Critical thinking II (EN) Critical Thinking II (HUM 484) builds on concepts acquired in Critical Thinking I (HUM 425). Please read HUM 425 for Critical Thinking I & Critical Thinking II course contents, transversal skills, learning outcomes, and course methodologies. These two courses are offered together only. Comment enseigner la durabilité I (FR) Get involved in sustainability education by exploring learning theories, facilitation, and reflection on the education ecosystem that will help you develop your mindset, knowledge and skills to teach complex problems in the sustainability course for Bachelor students (ENV-101). Médiation scientifique I (FR) This course is an introduction to the theory and practice of science outreach and public engagement. This year, it will culminate in the creation and delivery of an educational and interactive workshop for a group of young people. Writing and Thinking with Generative AIs I (FR) How do generative AIs transform our ways of reading, writing, and thinking?
To address these questions, we need to analyze AI-assisted writing processes using the concepts and methods of textual linguistics and genetic criticism. Médiation scientifique II (FR) This course is an introduction to the theory and practice of science popularization. Writing and Thinking with Generative AIs II (FR) How do generative AIs transform our ways of reading, writing, and thinking?
To address these questions, we need to analyze AI-assisted writing processes using the concepts and methods of textual linguistics and genetic criticism. Comment enseigner la durabilité II (FR) In this semester-long group project, you will explore teaching practices within a large-scale sustainability course. Observation, problem formulation and group preparation and reflection on teaching sustainability will help you develop strategies to support learning of complex problems. Theoretical Foundations of Learning Sciences 1 (EN) How do people learn and how can we support learning? This is part 1 of a two-part course that provides an overview of major theoretical perspectives that attempt to describe how learning works, and serves as an introduction to interpreting education as a means of designing learning environments. Theoretical Foundations of Learning Sciences 2 (EN) How do people learn and how can we support learning? This is part 2 of a two-part course that provides an overview of major theoretical perspectives that attempt to describe how learning works, and serves as an introduction to interpreting education as a means of designing learning environments. Introduction to Methods in Learning Sciences 1 (EN) This is part 1 of a two part course that provides students with knowledge and skills in collecting, processing and analyzing educational data, including different lenses to view the nature of inquiry in the field, research designs, and an overview of quantitative and qualitative methods. Introduction to Methods in Learning Sciences 2 (EN) This is part 2 of a two part course that provides students with knowledge and skills in collecting, processing and analyzing educational data, including different lenses to view the nature of inquiry in the field, research designs, and an overview of quantitative and qualitative methods. JDPLS Winter school (EN) Two-day Winter School in Emmetten, Switzerland with JDPLS thesis directors and students. Students presented their recent research and took part in small-group discussions. Two keynote speakers gave presentations and joined discussions with students JDPLS Summer school (EN) Two-day Summer School , location TBD with JDPLS thesis directors and students. Students presente their recent research and take part in small-group discussions. Two keynote speakers will give presentations and join discussions with students. Advanced analysis I – real analysis (FR) Study of the fundamental concepts of analysis, differential and integral calculus Advanced analysis I (FR) In this course, we will study the fundamental concepts of real analysis, and the calculus of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) Study the fundamental concepts of analysis, and the differential and integral calculus of real-valued functions of one real variable. Analysis I (German) (FR) Study of fundamental concepts of analysis and differential/integral calculus of univariate functions.
Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (English) (EN) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of one real variable. Analysis I (flipped classroom) (FR) Study the fundamental concepts of analysis, and the differential and integral calculus of real-valued functions of one real variable. Advanced analysis II – vector analysis (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Advanced analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (English) (EN) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Advanced linear algebra I – vector spaces (FR) The aim of this course is to the basic notions of linear algebra (for future mathematicians) and provide rigorous proofs of the main results on this topic. Advanced linear algebra I (FR) The purpose of this course is to introduce the basic notions of linear algebra and to prove the main results of the subject. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear algebra (english) (EN) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear algebra (flipped classroom) (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. This class is given with a flipped design. Algebra I – fundamental structures (FR) The aim of this course is to introduce and study the basic notions of abstract algebra. Advanced linear algebra II – diagonalization (FR) The purpose of the course is to introduce the basic notions of linear algebra and to prove rigorously the main results of the subject. Advanced linear algebra II (FR) The purpose of this course is to introduce some basic notions of linear algebra and to rigorously prove the main results in the field. Geometry for architects (FR) This course introduces geometry through its key concepts, systems, and modes of representation. It explores the link between manual geometry and digital tools, from constructing forms to their transformation, fabrication, and automation. Probability and statistics (FR) The course introduces the basic notions of probability and statistical inference, with an emphasis on the main concepts and the most commonly used methods. Mathematics (FR) This course aims at giving the basic mathematical knowledge needed for architecture studies in an engineering school. Analysis III (FR) Vector Calculus. Complex Analysis. Analysis III (EN) The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in solving multidisciplinary problems in scientific engineering. Analysis III (for SV, MT) (FR) The course studies the fundamental concepts of vector analysis and Fourier analysis with a view to their use in other courses and for solving multidisciplinary problems in science and engineering. Analysis III (FR) The course studies the fundamental concepts of vector analysis and Fourier analysis with a view to their use in solving multidisciplinary problems of scientific engineering. Analysis III (for IC) (EN) The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in solving multidisciplinary problems in scientific engineering. Analysis IV – complex analysis (EN) This course provides a rigorous introduction to complex analysis in one variable, emphasizing the interplay between analytic, geometric, and topological ideas. Students will develop both a conceptual understanding of the main theorems and practical techniques for analyzing complex functions.
Analysis IV (FR) At its core, it is a functional analysis course for physicists and covers the basics of measure theory, function spaces and linear operators. Analysis IV (for SV, MT) (FR) This course is an introduction to complex analysis, Laplace transforms, tempered distributions and their Fourier transform, and to their use in the resolution of ordinary differential equations and partial differential equations. Analysis IV (for EL, GM, MX) (FR) This course serves as an introduction to the theory of complex analysis, Fourier series and Fourier transforms, the Laplace transform, with applications to the theory of ordinary and partial differential equations. These tools play an integral role in most branches of science and engineering. Analysis IV (EN) The course studies the fundamental concepts of complex analysis and Laplace analysis with a view to their use to solve multidisciplinary scientific engineering problems. Analysis III – Lebesgue, Fourier, vector fields (FR) The course covers the following topics:
-Vector calculus
-Lebesgue integral
-Fourier Analysis
Algebra II – groups (FR) This course deals with group theory, with particular emphasis on group actions and notions of category theory. Analyse numérique et optimisation (FR) To learn how to solve numerically various mathematical problems. The theoretical properties of these methods will be investigated. Differential geometry I – curves and surfaces (FR) This course is an introduction to classical differential geometry, which studies the geometric properties of curves and surfaces in the Euclidean space. Algebra III – rings and fields (FR) This is an introductory course in ring and field theory. Topology I – point set topology (FR) We’ll start by seeing how the notion of continuity for functions between Euclidean spaces generalizes to functions between metric spaces. We’ll then study in detail the elegant and powerful axiomatization of these notions in the framework of topological spaces. Topology II – fundamental groups (FR) We study the topological notions of union and quotients of spaces; we discuss covering spaces and fundamental groups further, The notion of cell attachement is introduced and the Seifert-van Kampen Theorem is proven. Examples of surfaces illustrate the techniques. Probability I (FR) The course is an introduction to probability theory. We aim to introduce the modern formalism (based on the notion of measure), to connect it with the ‘intuitive’ aspect of probabilities, but also to become familiar with the probabilistic way of thinking. Probability and statistics (for IC) (FR) An introduction to probability theory and statistics. Probability and statistics (FR) The course is an introduction to probability and statistics for physicists. Probability and statistics (FR) This course covers elementary notions of probability theory and statistics, such as inference, tests, and regression. Probability and statistics (FR) This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression. Probability and statistics (FR) This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression. Probability and statistics (for SV) (EN) Introduction to notions of probability and basic statistics. Statistics (FR) This course provides an introduction to the mathematical treatment of the theory of statistical inference using the concept of likelihood as a unifying theme. Advanced numerical analysis I (EN) Construction and analysis of numerical methods for the solution of problems from linear algebra, integration, approximation, and differentiation.
Numerical analysis (FR) This course presents numerical methods to solve mathematical problems such as systems of linear and nonlinear equations, function approximation, integration and differentiation, and differential equations. Numerical analysis (EN) The students will learn key numerical techniques for solving standard mathematical problems in science and engineering. The underlying mathematical theory and properties are discussed. Numerical analysis (FR) This course introduces and analyzes numerical methods for solving mathematical problems such as linear and nonlinear systems, approximation of functions, integration and differentiation, as well as differential equations. Numerical analysis (EN) The course presents numerical methods for solving mathematical problems such as systems of linear or nonlinear equations, function approximation, integration and differentiation, and the solution of differential equations. Discrete mathematics (EN) Study of structures and concepts that do not require the notion of continuity. Graph theory, or study of general countable sets are some of the areas that are covered by discrete mathematics. Emphasis will be laid on structures that the students will see again in their later studies. Discrete optimization (EN) This course is an introduction to linear and discrete optimization.
Warning: This is a mathematics course! While much of the course will be algorithmic in nature, you will still need to be able to prove theorems. Introduction to optimization and operations research (EN) Introduction to major operations research models and optimization algorithms Ordinary differential equations (FR) The course gives a rigorous introduction to the main topics of the theory of ordinary differential equations (ODE’s). ODE’s are fundamental to the theories of dynamical systems and partial differential equations. Some applications in those fields will be studied. Functional analysis I (FR) Some basic concepts of linear functional analysis: bounded operators, compact operators, spectral theory for symmetric and compact operators, Hahn-Banach theorem, the open mapping and closed graph theorems.
Measure theory (EN) This course provides an introduction to the theory of measures and integration on abstract measure spaces. Introduction to partial differential equations (EN) This is an introductory course on Elliptic Partial Differential Equations. The course will cover the theory of both classical and generalized (weak) solutions of elliptic PDEs. Algebra (EN) This is an introduction to modern algebra: groups, rings and fields. Algebra IV – rings and modules (EN) Ring and module theory with a major emphasis on commutative algebra and a minor emphasis on homological algebra.
Number theory I.b – Analytic number theory (EN) The aim of this course is to present the basic techniques of analytic number theory. Representation theory I – finite groups (EN) This is a standard course in representation theory of finite groups. Algebra V – Galois theory (EN) Galois theory lies at the interface of Field Theory and Group Theory. It aims to describe the algebraic symmetries of fields. We will focus on Galois theory for finite field extensions and some applications. Set theory (EN) Set Theory as a foundational system for mathematics. ZF, ZFC and ZF with Atoms. Relative consistency of the Axiom of Choice, the Continuum Hypothesis, the reals as a countable union of countable sets, the existence of a countable family of pairs without any choice function, and so on. Differential geometry II – smooth manifolds (EN) Smooth manifolds constitute a certain class of topological spaces which locally look like some Euclidean space R^n and on which one can do calculus. We introduce the key concepts of this subject, such as vector fields, differential forms, etc. Topology III – Homology (EN) Homology is one of the most important tools to study topological spaces and it plays an important role in many fields of mathematics. The aim of this course is to introduce this notion, understand its properties and learn how to compute it. There will be many examples and applications. Topics in complex analysis (EN) The goal of this course is to treat selected topics in complex analysis. We will mostly focus on holomorphic functions in one variable. At the end we will also discuss holomorphic functions in several variables Algebraic geometry I – Curves (EN) Algebraic geometry is the common language for many branches of modern research in mathematics. This course gives an introduction to this field by studying algebraic curves and their intersection theory. Continuous optimization (EN) This course introduces students to continuous, nonlinear optimization. We study the theory of optimization with continuous variables (with full proofs), and we analyze and implement important algorithms to solve constrained and unconstrained problems. Randomization and causation (EN) This course covers formal frameworks for causal inference. We focus on experimental designs, definitions of causal models, interpretation of causal parameters and estimation of causal effects. Number theory I.c – Combinatorial number theory (EN) This is an introductory course to combinatorial number theory. The main objective of this course is to learn how to use combinatorial, topological, and analytic methods to solve problems in number theory. Bayesian statistics (EN) A first introduction to Bayesian statistics, assuming knowledge from first courses in statistics and probability. We will focus on foundational statistical and mathematical aspects such as the decision theoretic background, consistency for large sample sizes, and algorithms for Bayesian computation. Linear models (EN) Regression models are fundamental in statistics, because they describe how the law of a random variable of interest may depend on other variables. This course introduces students to the core theory and methods of linear statistical models. Time series (EN) A first course in statistical time series analysis and applications. Advanced numerical analysis II (EN) The student will learn state-of-the-art algorithms for solving differential equations. The analysis and implementation of these algorithms will be discussed in some detail. Causal thinking (EN) This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability II: Discrete time processes (EN) A first course in advanced theoretical probability, focused on discrete families of random variables. Probability III: Continuous time processes (EN) This course extends the concepts exposed in Probability II into the world of continuous time. We explore martingales and Markov processes, guided by the core examples of Brownian Motion and Poisson Processes. A particular emphasis is placed on Brownian Motion, with its innumerable applications. Graph theory (EN) The course aims to introduce the basic concepts and results of modern Graph Theory.
Mathematical logic (FR) Field of mathematics with close connections to the foundation of mathematics and theoretical computer science. Centered on 1st order logic and the intricate relations between syntax and semantics. It is also a course in which mathematical practice becomes an object of mathematical study Risk and environmental sustainability (EN) This course gives an introduction to the assessment of risk with a particular focus on modelling of rare events, which can have huge environmental impacts. Randomized matrix computations (EN) This course is concerned with randomized algorithms that have been developed during the last two decades to solve large-scale linear algebra problems from, for example, scientific computing and machine learning. Emphasis will be placed on both, the development and analysis of such algorithms. Functional analysis II (EN) We introduce locally convex vector spaces. As an example we treat the space of test functions and the space of distributions. In the second part of the course, we discuss differential calculus in Banach spaces and some elements from nonlinear functional analysis. Harmonic analysis (EN) An introduction to methods of harmonic analysis.
Covers convergence of Fourier series, Hilbert transform, Calderon-Zygmund theory, Fourier restriction, and applications to PDE. Regression methods (EN) General graduate course on regression methods
Riemann surfaces (EN) This course is an introduction to the theory of Riemann surfaces. Riemann surfaces naturally appear is mathematics in many different ways: as a result of analytic continuation, as quotients of complex domains under discontinuous group actions, as algebraic curves. Statistical machine learning (EN) A course on statistical machine learning for supervised and unsupervised learning Stochastic simulation (EN) The student who follows this course will get acquainted with computational tools used to analyze systems with uncertainty arising in engineering, physics, chemistry, and economics. Focus will be on sampling methods as Monte Carlo, quasi Monte Carlo, Markov Chain Monte Carlo. Probabilistic models of modern AI (EN) This is a course where we will cover various topics related to recent progress in AI. Emphasis will be on understanding conceptual and mathematical principles, and on relating those to experimental data for machine learning models used in practice. Abstract analysis on groups (EN) We study analytic phenomena on groups, notably paradoxical decompositions such as Banach-Tarski, fixed point properties and harmonic functions. Number theory II.c – Selected topics (EN) This year’s topic is “Addictive combinatorics.” We will introduce various methods from additive
combinatorics, establish sum-product type theorems over finite fields and derive various applications (bounds for exponential sums, construction of
expander graphs). Heat kernel and analysis on manifolds (EN) This course develops the theory of the heat equation on Riemannian manifolds. We introduce the Laplace-Beltrami operator, the heat semigroup, and the heat kernel, study its fundamental properties, and explore how it “sees” the geometry of the underlying space. Functional data analysis (EN)
A rigorous introduction to the statistical analysis of random functions and random operators. Viewing random functions either as random Hilbert vectors or as stochastic processes, we explore the rich interplay between nonparametrics and multivariate statistics in infinite dimensions.
Evolutional partial differential equations (FR) Fundamental techniques and theories for partial differential equations of evolution. Application to basic examples: first-order equations, wave equation, heat equation. The Cauchy-Kowalevsky theorem, abstract problems of evolution. Representation theory II – Lie algebras (EN) This is a standard course on Lie groups, Lie algebras and their representations. Theory of stochastic calculus (EN) Introduction to the mathematical theory of stochastic calculus: construction of the Ito stochastic integral, proof of the Ito formula, introduction to stochastic differential equations, Girsanov’s theorem and the Feynman-Kac formula, the martingale representation theorem. Calculus of variations (EN) Introduction to classical Calculus of Variations and a selection of modern techniques. The Calculus of Variations aims at showing the existence of minimisers (or critical points) of functionals that naturally appear in mathematics and physics (Dirichlet energy, p-energy, etc). Multivariate statistics (EN) Multivariate statistics focusses on inferring the joint distributional properties of several random variables, seen as random vectors, with a main emphasis on uncovering their underlying dependence structure. This course offers a broad introduction to its concepts, methods & theory Statistical analysis of network data (EN) A first course in statistical network analysis and applications. Biostatistics (EN) This course covers statistical methods that are widely used in medicine and biology. A key topic is the analysis of longitudinal data: that is, methods to evaluate exposures, effects and outcomes that are functions of time. While motivated by real-life problems, some of the material will be abstract Numerical integration of stochastic differential equations (EN) In this course we will introduce and study numerical integrators for stochastic differential equations. These numerical methods are important for many applications. Numerical approximation of PDEs (EN) This course covers the derivation, theoretical analysis, and implementation of the finite element method for the numerical approximation of partial differential equations in one and two spatial dimensions. Numerical integration of dynamical systems (EN) In this course we will introduce and study numerical integrators for multi-scale (or stiff) differential equations and dynamical systems with special geometric structures (symplecticity, reversibility, first integrals, etc.). These numerical methods are important for many applications. Computational linear algebra (EN) This course provides an overview of advanced techniques for solving large-scale linear algebra problems, as they typically arise in applications. A central goal of this course is to give the ability to choose a suitable solver for a given application. Parallel and high-performance computing (EN) This course provides insight into a broad variety of High Performance Computing (HPC) concepts and the majority of modern HPC architectures. Moreover, the student will learn to have a feeling about what architectures are suited for several types of algorithms and learn to program for them. Numerical analysis and computational mathematics (EN) The course provides an introduction to scientific computing. Several numerical methods are presented for the computer solution of mathematical problems arising in different applications. The software MATLAB is used to solve the problems and verify the theoretical properties of the numerical methods. Programming concepts in scientific computing (EN) The aim of this course is to provide the background in scientific computing. The class includes a brief introduction to basic programming in c++, it then focuses on object-oriented programming and c++ specific programming techniques. Typical class hierarchies of computational software are addressed. Mathematical modelling of behavior (EN) Discrete choice models allow for the analysis and prediction of individuals’ choice behavior. The objective of the course is to introduce both methodological and applied aspects, in the field of marketing, transportation, and finance. Martingales in financial mathematics (EN) The aim of the course is to apply the theory of martingales in the context of mathematical finance. The course provides a detailed study of the mathematical ideas that are used in modern financial mathematics. Moreover, the concepts of complete and incomplete markets are discussed. Optimal transport (EN) The first part is devoted to Monge and Kantorovitch problems, discussing the existence and the properties of the optimal plan. The second part introduces the Wasserstein distance on measures and develops applications of optimal transport to PDEs, functional/geometric inequalities, gradient flows. Dispersive PDEs (EN) This course will give an introduction to some aspects of nonlinear dispersive partial differential equations. These are time evolution problems that arise in many contexts in physics, such as quantum mechanics, electrodynamics, fluid motion and relativity. Number theory I.a – Algebraic number theory (EN) Algebraic number theory is the study of the properties of solutions of polynomial equations with integral coefficients; Starting with concrete problems, we then introduce more general notions like algebraic number fields, algebraic integers, units, ideal class groups… Gödel and recursivity (EN) Gödel incompleteness theorems and mathematical foundations of computer science Introduction to stochastic PDEs (EN) Stochastic PDEs are used to model systems that are spatially extended and include a random component. This course gives an introduction to this topic, including some general measure theory, some Gaussian measure theory and some linear semigroup theory. Introduction to multi-scale stochastic dynamics (EN) This course introduces slow/fast systems and the mathematical tools used to derive effective equations governing their behaviour. Students will learn core concepts and techniques for rigorously analysing complex stochastic multi-scale systems. Topology IV.b – Algebraic K-theory (EN) Algebraic K-theory, which to any ring R associates a sequence of groups, can be viewed as a theory of linear algebra over an arbitrary ring. We will study in detail the first two of these groups and some of their applications to other areas of mathematics.. Number theory II.d – Cryptography (EN) . Topology IV.b – homotopy theory (EN) We propose an introduction to homotopy theory for topological spaces. We define higher homotopy groups and relate them to homology groups. We introduce (co)fibration sequences, loop spaces, and suspensions. We study long exact sequences. We construct Eilenberg-Mac Lane spaces. Mathematical aspects of materials modelling (EN) The simulation of materials properties from first principles is a key component of modern materials science research. We discuss common simulation techniques (such as plane-wave density-functional theory) from a mathematical perspective, outline robust algorithms and error estimation techniques. Distribution and interpolation spaces (EN) The goal of this course is to give an introduction to the theory of distributions and cover the fundamental results of Sobolev spaces including fractional spaces that appear in the interpolation theory. Those notions are central to the study of partial differential equations (PDE). Scientific machine learning (EN) This course covers topics of scientific machine learning. Part I focuses on sequential-in-time training of nonlinear parametrizations for numerically solving partial differential equations. Part II treats generative modeling of physical processes. This is a project-based course. Algebraic geometry II – schemes and sheaves (EN) The aim of this course is to learn the basics of the modern scheme theoretic language of algebraic geometry. Optimization on manifolds (EN) We develop, analyze and implement numerical algorithms to solve optimization problems of the form min f(x) where x is a point on a smooth manifold. To this end, we first study differential and Riemannian geometry (with a focus dictated by computational concerns). We also discuss several applications Applied statistics (EN) The course will provide an overview of everyday challenges in applied statistics through case studies. Students will learn how to use core statistical methods and their extensions, and will use computational and problem-solving tools to provide reproducible solutions for the problems presented. Statistical computation and visualisation (EN) The course will provide the opportunity to tackle real world problems requiring advanced computational skills and visualisation techniques to complement statistical thinking. Students will practice proposing efficient solutions, and effectively communicating the results with stakeholders. Ergodic theory (EN) This is an introductory course in ergodic theory, providing a comprehensive overlook over the main aspects and applications of this field. Empirical processes (EN) We learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning. Euclidean and hyperbolic geometries (FR) We will present the evolution of the foundations of geometry, from Euclid up until Hilbert when non euclidean gemoetries were largely accepted. We will also explore some classical topics, aiming at developping the student’s culture and taste for geometry. Kinetic and non-equilibrium conservation laws (EN) Study of kinetic models and non-equilibrium conservation laws, linking particle interactions to macroscopic behavior. Covers analysis, simulation, and modeling across scales and media using kinetic theory, reduced-order models, and particle methods. Algebraic geometry III – selected topics (EN) This course is an introduction to the theory of algebraic curves and surfaces.
An important aim of the course is to develop geometric intuition while using the language of schemes developed in the basic algebraic geometry course, thus building a solid foundation for further study.
Representation theory III – infinite dim. algebras (EN) This course serves as an introduction to the theory of infinite-dimensional Lie algebras.
Intrusive and non-intrusive model reduction (EN) Intrusive and non-intrusive model reduction for parametrized partial differential equations and dynamical systems Geometry and dynamics of hyperbolic surfaces (EN) This course begins by describing and classifying hyperbolic surfaces before focussing on their geodesic flow. Topics include ergodicity, mixing, the Anosov property and equirepartition of closed geodesics. Spectral theory (EN) This course is an introduction to the spectral theory of linear operators acting in Hilbert spaces. The main goal is the spectral decomposition of unbounded selfadjoint operators. We will also give elementary applications to the analysis of PDEs. Statistical inference (EN) Inference from the particular to the general based on probability models is central to the statistical method. This course gives a graduate-level introduction of the main ideas of statistical inference. Student seminar in pure mathematics (EN) The goal of the seminar is to learn the main aspects of de Rham cohomology following the book of Bott-Tu ‘Differential Forms in Algebraic Topology’. We will aim to understand the definition of Chern classes of a vector bundle, a fundamental concept in topology, differential and algebraic geometry. Convex geometric analysis (EN) In this course we study the fundamental notion of convexity at the interface of analysis and geometry, an area that has seen remarkable progress in recent years. Optimization and simulation (EN) Master state-of-the art methods in optimization with heuristics and simulation.
Work involves:
– reading the material beforehand
– class hours to discuss the material and solve problems
– homework
Scientific programming for Engineers (EN) The students will acquire a solid knowledge on the processes necessary to design, write and use scientific software. Software design techniques will be used to program a multi-usage particles code, aiming at providing the link between algorithmic/complexity, optimization and program designs. Topics on the Euler and Navier-Stokes equations (EN) This topics course focuses on recent and classical fundamental results on the Euler and Navier-Stokes equations, such as global existence of weak solutions, (non)uniqueness results, blow-ups, partial regularity, anomalous dissipation. Topics in dispersive PDE (EN) This course assumes familiarity with beginning graduate level real analysis, complex analysis and functional analysis, and also basic
harmonic analysis, as well as fundamental concepts from differential geometry. Statistical consulting and collaborations (EN) Analyzing data for a collaborator or client is very different from working on your own research project ; not only do you need competences in statistics, you must also ensure good communication (both ways) in a multi-disciplinary environment, coordination of the work, and the management of everyone. Lattice Gauge Theories (EN) The aim of this course is to learn about lattice gauge theories, but also a bit about their (potential) continuum limits. Math Outreach (EN) This course offers 2nd-, 3rd-, and 4th-year PhD students an exciting opportunity to engage in math outreach activities. Designed for students passionate about communicating mathematics to the public and engaging meaningfully with the community. From Interacting particle systems to SPDEs (EN) The aim is to introduce all the necessary tools to understand recent results on the convergence of the fluctuation field of nonequilibrium particle systems to solutions of stochastic partial
differential equations. Reading group in applied topology II (EN) In this reading group, we will work together through recent important papers in applied topology. Participants will take turns presenting articles, then leading a discussion of the contents. Reasoning in artificial intelligence (EN) Large language models have raised the potential of artificial intelligence in various applications, including science and mathematics, but their reasoning capabilities remain under investigations. This class focuses on defining, measuring and improving the reasoning capabilities of such AI models. Perspectives on Randomness in Statistic (EN) This course covers different notions of randomness in statistics. The participants obtain an understanding of popular frameworks (frequentist, Bayesian, design-based etc.), and learn to compare them and assess their suitability for specific applications. Perfectoid and prismatic methods (EN) Contents: mixed characteristic geometry, perfectoid rings, primsatic cohomology and their applications to Kodaira type vanishing theorems. Working group in Topology I (EN) The theme of the working group varies from year to year. Examples of recent topics studied include: Galois theory of ring spectra, duality in algebra and topology, and topological algebraic geometry. Working group in Topology II (EN) The theme of the working group varies from year to year. Examples of recent topics studied include: Galois theory of ring spectra, duality in algebra and topology, topological algebraic geometry and twisted K-theory K-stability (EN) The topic is K-stability of Fano varieties, including (as time permits): the definitions, the equivalences of definitions, examples, the connection to the existence Kahler-Einstein metrics, and the construction of the moduli space. Winter School on Optimization and Operations Research (I) (EN) The objective of the Winter School is to expose the audience to modern topics on Optimization and Operations Research. Every year, two prominent researchers are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students. Winter School on Optimization and Operations Research (II) (EN) The objective of the Winter School is to expose the audience to modern topics on Optimization and Operations Research. Every year, two prominent researchers are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students. Summer School on RNLA (EN) A diverse group of lecturers delivers lectures that span foundational concepts as well as advanced topic in randomized numerical linear algebra, including techniques for matrix factorizations, eigenvalue computations, and the solution of linear systems. Reliable ML: from LLMs to cyber-physical systems (EN) Interacting systems ranging from biological networks and social webs to critical infrastructures like power grids pose distinctive modeling challenges. The school presents the reliable machine learning approaches fundamentals and state-of-the-art methods to tackle problems across application domains Mechanical construction I (for ME) (FR) The ME-101 course is designed to teach students the rules and standardized language of technical communication, as well as the fundamentals of mechanical design. It relies on practical drawing exercises on paper and includes a hands-on introduction to Computer-Aided Design. Mechanical construction II (for ME) (FR) The ME-102 course aims at acquiring a solid basis in technical culture in order to be able to apply it to real-life examples of mechanical engineering, through a review of the concepts, components, and methodologies used in this field, and the achievement by the students of a group-based project. Solid mechanics I : intro to structural mechanics (EN) The student will acquire the basis for the analysis of static structures and deformation of simple structural elements. The focus is given to problem-solving skills in the context of engineering design. Introduction to mechanical design (FR) The ME-105 is aimed to teach the standardized language of the technical communication in the field of mechanical engineering and a basis in technical culture, through a review of the concepts, components, and methodologies, together with the achievement by the students of a group-based project. Mechanical construction I (for MT) (FR) The ME-106 course is designed to teach students the rules and standardized language of technical communication, as well as the fundamentals of mechanical design. It relies on practical drawing exercises on paper and includes a hands-on introduction to Computer-Aided Design. Mechanical construction II (for MT) (FR) The ME-107 course aims at acquiring a solid basis in technical culture in order to be able to apply it to real-life examples of mechanical engineering, through a review of the concepts, components, and methodologies used in this field, and the achievement by the students of a group-based project. Scaling Law for ME engineers (FR) The course offers an introduction to order-of-magnitude analysis, dimensional analysis, and scaling laws. These techniques are applied across various contexts useful to the mechanical engineer. Mechanical systems (FR) This course aims to deepen the understanding of the operating laws of several major mechanical principles widely used in machine construction, in order to be able to size them in the most common concrete cases. Programmation pour ingénieur (FR) Build on the basic programming concepts learn last semester. Develop a simple program. Debug methods and good practice. Introduction to scientific programming. Introduction to data flow programming. Dynamical systems (EN) Provides the students with basic notions and tools for the analysis of dynamic systems. Shows them how to develop mathematical models of dynamic systems and perform analysis in time and frequency domains. Structural mechanics for SV (EN) This course aims to provide a concise understanding of how materials and structures react to loads. It covers the basics of stress and strain in multi dimensions, deformation and failure criteria. The course is tailored to problems students from life science might encounter. Mechanics of structures (For GM) (FR) Master the fundamentals of stress and strain analysis of linear elastic beams subjected to tension, shear, torsion, and bending; influence coefficients and the energy method for analyzing isostatic and hyperstatic systems; failure criteria. Thermodynamics and energetics I (EN) The course introduces the basic concepts of thermodynamics and heat transfer, and thermodynamic properties of matter and their calculation. The students will master the concepts of heat, mass, and momentum conservation, and apply these concepts to thermodynamic cycles and energy conversion systems. Introduction to control of dynamical systems (FR) Introductory course on control of dynamical systems. Four key systems serve as the backbone to a unified abstract formalism. This formalism is then used to solve fundamental control problems such as tracking and disturbance rejection, with particular emphasis on guaranteeing closed-loop stability Fluid mechanics I : incompressible + TP (EN) Introduction to fluid mechanics, combining fundamental principles with their application to canonical flow problems. Measurement techniques (EN) Theoretical and practical course on experimental techniques for observation and measurement of physical variables such as force, strain, temperature, flow velocity, structural deformation and vibrations, etc. Microinformatique (pour GM) (FR) Understand Microcontrollers and learn to use them, especially for mechanical systems. Dynamical effects in mechanical design (FR) Ce cours poursuit la compréhension des effets cinématiques et dynamiques de systèmes mécaniques complexes et introduit les bases pour les comprendre et les modéliser. L’étudiant saura expliquer et modéliser la dynamique et choisir des modèles adéquats. Control systems + TP (EN) Provides the students with basic notions and tools for the analysis and control of dynamic systems. Shows them how to design controllers and analyze the performance of controlled systems. Chemical process control (EN) Provide the students with basic notions and tools for the modeling and analysis of dynamic systems. Show them how to design controllers and analyze the performance of controlled systems. Discrete-time control of dynamical systems (FR) An introduction to linear discrete-time control systems is provided which consists in applying a control at equally spaced time intervals. The consequence of the associated sampling process on the stability and performance of the closed-loop system is analysed in detail. Control systems and discrete-time control (FR) This course includes modelling and analysis of dynamic systems, basic principles and analysis of feedback control systems, controller design in frequency domain (loop shaping) and in state space (linear quadratic regulator), discrete-time systems and digital controller design (polynomial approach). Solid mechanics III (EN) This course focuses on the fundamental understanding and analysis of the mechanical behavior of engineering materials and their application in mechanical design, based on the continuum mechanics of solids. Mechanical vibrations (FR) In this course we study the modal dynamics of mechanical structures. During the course we will learn key concepts like Normal modes, effective mass and stiffness, and eigenfrequencies. Heat and mass transfer (EN) This course covers fundamentals of heat transfer and applications to practical problems. Emphasis will be on developing
a physical and analytical understanding of conductive, convective, and radiative heat transfer. Introduction to turbomachinery (EN) The course provides a foundational understanding of turbomachines, covering their classification, fundamental principles of fluid mechanics and key performance parameters. It delves into coordinate systems, velocity analysis, and the application of conservation laws to turbomachinery. Compressible-fluid dynamics (FR) Compressible flows, sonic speed, shock wave, expansion. Thermodynamics and energetics II (EN) This course will discuss advanced topics in thermodynamics with a focus on studying gas
phases, mixtures, and phase transformations. The application of these principles
to various practical systems such as batteries, fuel cells etc. will be discussed. Discretization methods in fluids (FR) This course provides an introduction to the approximation methods used for numerical simulation in fluid mechanics.
The fundamental concepts are presented in the context of the finite differences method and then extended to the finite and spectral element method. Finite element method (FR) In this course, the student gets acquainted with the theoretical aspects of the finite element method, the most commonly used computational technique for solving elliptic problems. He learns to apply the finite element method to simple test cases and to more complex problems faced in practice Finite element modelling and simulation (FR) The objective of this course is to learn how to carry out rigorous and critical finite element analyzes of realistic problems in solid mechanics using state-of-the-art CAE software. Experimental methods in biomechanics (FR) The aim of this course is to allow the students to become familiar with the basic techniques to measure the mechanical properties of different musculoskeletal tissues or biomaterials used in tissue engineering. Foundations of artificial intelligence (EN) This course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications. Applied mechanical design (EN) Students will be exposed to hands-on design problems throughout the term. They will acquire methodologies to (1) address open ended engineering problems, (2) cultivate creativity, (3) support decision making and (4) develop problem solving abilities.
Energy conversion and renewable energy (EN) This course presents an overview of (i) the current energy system and uses (ii) the main principles of conventional and renewable energy technologies and (iii) the most important parameters that define their efficiency, costs and environmental impacts. Mechanical product design and development (EN) Study and explore design principles of the different mechatronic components and systems. We will cover in-depth especially on meso-scale actuators, sensors and body construction methods. Mechanics of slender structures (EN) Analysis of the mechanical response and deformation of slender structural elements. Introduction to additive manufacturing (EN) The state of the art in the domain of additive production processes
(the part is built by material addition without use of a shape tool) will be presented.
The main application/benefits/shortcomings of the common additive processes as well as
technological and economical issues will be discussed. Production management (EN) Production management deals with producing goods sustainably at the right time, quantity, and quality with the minimum cost. This course equips students with practical skills and tools for effectively managing demand, supply, and implementing advanced analytics in manufacturing companies. System identification (EN) Identification of discrete-time linear models using experimental data is studied. The correlation method and spectral analysis are used to identify nonparametric models and the subspace and prediction error methods to estimate the plant and noise model parameters. Hands-on labs are included. Multivariable control (EN) This course covers methods for the analysis and control of systems with multiple inputs and outputs, which are ubiquitous in modern technology and industry. Special emphasis will be placed on discrete-time systems due to their relevance to digital and embedded control architectures. Model predictive control (EN) Provide an introduction to the theory and practice of Model Predictive Control (MPC). Main benefits of MPC: flexible specification of time-domain objectives, performance optimization of highly complex multivariable systems and ability to explicitly enforce constraints on system behavior. Micro/Nanomechanical devices (EN) In this course we will see an overview of the
exciting field of Micro and Nanomechanical systems. We will go over the dfferent scaling laws that dominate the critical parameters, how size affects material properties, how these devices are manufactured, designed and later used. Networked control systems (EN) This course offers an introduction to control systems using communication networks for interfacing sensors, actuators, controllers, and processes. Challenges due to network non-idealities and opportunities offered by communication will be analyzed. Data-driven design & fabrication methods (EN) There is an increasing need for data-driven methods for automated design and fabrication of complex mechanical systems. This course covers methods for encoding the design space, optimization and search approaches and digital fabrication methods. Game theory for multiagent decision-making (EN) Aeroelasticity and fluid-structure interaction (FR) Static and dynamic response of coupled fluid-structure systems as a result of extraneously-induced excitation, motion-induced excitation, and fluid-instability-induced excitation. Micro/Nano robotics (EN) The objective of this course is to expose students to the fundamentals of robotics at small scale. This includes a focus on physical laws that predominate at the nano and microscale, technologies for fabricating small devices, bioinspired design and control paradigms, and applications of the field. Hydroacoustic for hydropower plants (EN) Introduction to pressure wave propagation phenomena in hydraulic circuits, water hammer calculations, transient behaviour of hydroelectric plants, 1D numerical simulation of the dynamic behaviour of Francis, Pelton and Kaplan turbines, and study of the stability of these systems.
Hydrodynamics (EN) Nondimensionalized Navier-Stokes equations result in a great variety of models (Stokes, Lubrication, Euler, Potential) depending on the Reynolds number. The concept of boundary layer enables us then to identify the different components of the hydrodynamic drag. Wave drag is finally introduced. Aerodynamics (EN) This course will provide the fluid dynamic background to understand how air flows around two- and three-dimensional wings and bodies and to understand and calculate the aerodynamics forces and moments acting on the objects as a result of the air flow. Liquid-gas interfacial heat and mass transfer (EN) This course covers the fundamental analysis of liquid-gas interfacial heat and mass transfer in various contexts
including power generation, water purification, and cooling. Students will learn about the multiscale physics involved in
evaporation, boiling, and condensation. Industrial process and energy systems engineering (EN) Using a project based learning approach, this lecture present industrial process and energy system engineering techniques to design integrated industrial and urban system for a sustainable energy transition. Hydraulic turbomachines (EN) Master lectures on Hydraulic Turbomachines: operating principles, design and innovation of impulse and reaction turbines, industrial pumps and pump-turbines. Thermal power plants (EN) Discussion of the types, principles and operation of thermal power plants with an emphasis on components (turbines, heat exchange, boiler) both for the state-of-the-art (60% of total world power) and for advanced concepts, considering both natural and renewable fuels and heat sources. Heat pump systems (EN) This course aims to study heat pumping cycles and technologies, and equipment, such as compressors (positive displacement and dynamic), heat exchangers, and expansion valves. Renewable energy (for ME) (EN) The students assess and compare all renewable energy resources, their real potentials, limitations and best applications (energy services). Solar thermal, solar electric, wood, bioliquids, biogas, hydropower incl. tidal and wave power, wind, geothermal incl. heat pumps and buildings. Cavitation and interface phenomena (FR) Introduction, basic concepts; cavitation bubble collapse; dynamique des cavits; cavitation in vorticalstructures; industrial applications. Introduction to nuclear engineering (EN) This course is intended to understand the engineering design of nuclear power plants using the basic principles of reactor physics. This course includes the following: Reactor designs, Nuclear safety and Reactor dynamics Advanced heat transfer (EN) The course will deepen the fundamentals of heat transfer. Particular focus will be put on radiative and convective heat transfer, and computational approaches to solve complex, coupled heat transfer problems. Instability (EN) This course focuses on the physical mechanisms at the origin of the transition of a flow from laminar to turbulent using the hydrodynamic instability theory. Turbulence (EN) This course provides an introduction to the physical phenomenon of turbulence, its probabilistic description and modeling approaches including RANS and LES. Students are equipped with the basic knowledge to tackle complex flow problems in science and engineering practice.
Solar energy conversion (EN) The course will provide fundamentals and technological details of solar energy conversion devices and systems, including 1) solar fuels by photoelectrochemistry, photocatalysis, and solar thermochemistry, 2) solar electricity by PV and concentrated solar power, and 3) solar heat by solar collectors. Nano-scale heat transfer (EN) In this course we study heat transfer (and energy conversion) from a microscopic perspective. First we focus on understanding why classical laws (i.e. Fourier Law) are what they are and what are their limits of validity. Next we discuss emerging opportunities in nanoengineering energy devices. Mechanics of soft and biological matter (EN) This course aims to provide students with a comprehensive understanding of theoretical and computation modeling approaches applicable to soft and biological matter, which closely aligned with currently active research topics. Dynamic finite element analysis of structures (EN) The course focuses on the dynamic analysis of 3D structures using the finite element method in the context of linear elasticity. Students will gain proficiency in numerical techniques widely employed in static and dynamic structural analysis, and apply these methods to address real-world problems. Numerical flow simulation (EN) This course provides practical experience in the numerical simulation of fluid flows. Numerical methods are presented in the framework of the finite volume method. A simple solver is developed with Matlab, and a state-of-the-art software is used for more complex problems. Biomechanics of the musculoskeletal system (EN) The basis for a mechanical description of the musculoskeletal system are presented. This description is based on the concepts of solid mechanics, physiology and anatomy of the musculoskeletal system. Concrete examples of the development of implants are also covered. Numerical methods in biomechanics (EN) Students understand and apply numerical methods (FEM) to answer a research question in biomechanics. They know how to develop, verify and validate multi-physics and multi-scale numerical models. They can analyse and comment results in an oral presentation and a written report. Continuous improvement of manufacturing systems (EN) Continuous Improvement encompasses the ongoing effort to capture, create, and deliver value to internal and external customers. This course empowers students to lead teams and harness technology to improve products, services, and processes. Product decarbonization and life cycle analysis (EN) This course will address the need to decarbonize engineered products and to reduce their environmental and societal impacts. Life cycle analysis (LCA) will be used as a tool to quantify the impacts of engineered products and to aid design of lower impact alternatives. Nonlinear Control Systems (FR) Analysis of nonlinear systems is performed towards controlling them. Stability in the sense of Lyapunov is introduced, together with geometrical methods (Exact Feedback Linearization). Various examples are treated (pen and pencil, and computer). Advanced control systems (EN) This course covers some theoretical and practical aspects of robust and adaptive control. This includes H-2 and H-infinity control in model-based and data-driven framework by convex optimization, direct, indirect and switching adaptive control. The methods are implemented in a hands-on lab. Engines and fuel cells (EN) The students describe and explain the thermodynamic and operating principles of internal combustion engines and all fuel cell types, identify the determining physical parameters for the operating regimes, the efficiencies and the polluting emissions, and compare the systems against each other. Innovation in and from space (EN) The course provides MA students with a strategic understanding of the space sector and how to translate research into industrial applications. It covers space economy, project mngt, leadership, and interdisciplinary innovation, with skills applicable to large transformative projects across sectors. Selected topics in poromechanics (EN) This course presents fundamental and selected topics of the mechanics and physics of fluid-infiltrated porous media with applications to geo-mechanics. Mathematical modeling and the techniques for the solution of the resulting initial boundary value problems will be emphasized (scaling,numerics…). Designing Testing Machines for Geomechanics (EN) Develop your own machines to meet your scientific needs. Learn how to build high-pressure, high-temperature machines, as well as low-to-high-speed friction machines for geomechanics experiments. Additionally, gain knowledge about commonly used sensors in geomechanics. Similarity and Transport Phenomena in Fluid (EN) The course is an introduction to symmetry analysis in fluid mechanics. The student will learn how to find similarity and travelling-wave solutions to partial differential equations used in fluid and continuum mechanics. The course covers mathematical and physical aspects Introduction to entrepreneurship (EN) This course provides an introduction to the field of entrepreneurship, in particular the process of new venture creation and the commercialization of technologies. It integrates theories of entrepreneurship with a practical, process-based
project, where students develop a business concept in teams. Technologie, économie et politique: en face des crises (FR) This course deals with the role of innovations as essential responses to the big potential crises of our time – the so-called Grand Societal Challenges. The course alternates theoretical presentations – based on micro-economic analysis – and case studies. Sustainable entrepreneurship (EN) This course introduces sustainable entrepreneurship through the creation of innovative startups addressing social and environmental challenges. Working in teams, students identify opportunities and develop sustainable business models using entrepreneurial tools. Game theory and strategic decisions (EN) Game theory studies the strategic interactions between rational agents. It has a myriad of applications in politics, business, sports. A special branch of Game Theory, Auction Theory, has recently guided the development of Ebay, Google advertising auctions, and of the Wireless spectrum auctions. Foundations in financial economics (EN) The aim of this course is to expose EPFL bachelor students to some of the main areas in financial economics. The course will be organized around six themes. Students will obtain both practical insights through real-world examples and understand how one can model the main economic trade-offs. Introduction to data driven business analytics (EN) This course focuses on methods and algorithms needed to apply machine learning with an emphasis on applications
in business analytics. Introduction to economics of innovation (EN) This class will provide students with an understanding of some real-world issues related to the “knowledge economy.” Why should we innovate as a society? Why innovation doesn’t just happen, and how can the government help firms innovate? We will answer these questions and others using economic tools Corporate strategy (EN) Why are some firms more successful than others? This is the fundamental question of strategy. The course aims to familiarize the student with the most important themes relevant for corporate strategy. We will take the a top management perspective to better understand decisions’ underlying complexity Strategic marketing & technology commercialization (EN) This course teaches students the power of building and implementing marketing strategies in order to help businesses to commercialize successfully their technological innovations.
It offers a large overview of modern marketing and is not suited for students with advances marketing knowledge. Management of intellectual property (EN) This class provides an introduction to the management of intellectual property (IP), primarily patents. It covers strategic and legal considerations related to IP. The class relies on formal lectures, case studies, debates, speakers, and a project. Design in innovation: creation for adoption (EN) Using a human-centered and transdisciplinary approach, this course applies a structured design process to develop creative and viable propositions benefiting both society and the economy. Applied corporate & industry analysis (EN) This course turns strategic theory into practice. Students learn established tools for analyzing companies and their industries, then apply them throughout the semester to a real firm, producing a hands-on analysis of its competitive position. Entrepreneurship & new venture strategy (EN) A foundational course on the science and practice of launching new ventures. The purpose is to study and experience the first stages of the entrepreneurial process: from the identification of promising opportunities to the development of a viable and innovative business concept. Technology & innovation strategy (EN) This course focuses on the economic and organizational conditions that shape technological innovation by firms. The intent is for students to learn core concepts that can make innovation initiatives within a firm more successful, and to then apply those concepts to real business problems and cases. Causal inference (EN) Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and
application will be balanced, with students working directly with network data throughout the course. Value chain management in practice (EN) Learn through practice (using a Value Chain Management simulation) the key drivers of effective Value Chain Management. From Purchasing to Sales, through Operations and Supply Chain Management, understand the key drivers of corporate performance. Convex optimization (EN)
This course introduces the theory and application of modern convex optimization from an engineering perspective. Innovation management (EN) In this course, you will learn state-of-the-art knowledge and best practices needed to successfully develop innovation-based growth and renewal strategies for organizations. Machine learning methods in econometrics (EN) This course aims to provide graduate students a grounding in the methods, theory, mathematics and algorithms needed to apply machine learning techniques to in business analytics domain. The course covers topics from machine learning, classical statistics, and data mining. Strategic management of innovation (EN) The purpose of this course is to describe innovation and how it impacts business dynamics. It also aims to teach students how to think strategically and holistically about technological innovation, new product development and market deployment. Logistics and demand analysis (FR) Logistics, a cross-disciplinary function par excellence, integrates all the dimensions of value-adding industrial processes, from supply to distribution to customers and beyond, while taking sustainable development into account. Particular emphasis will be placed on the forecasting approach. Project management and risk analysis (FR) This course focuses on a general approach to project management while assessing risk approach at each step of the project. Information: strategy & economics (EN) Introduction to the economics of information and its strategic ramifications. The main objectives are to use economic theory to understand strategic interactions in the presence of uncertainty, estimate the value of information, and to analyze competitive strategy in an information economy. Data science for business (EN) Students will learn how data science can support business decisions from prediction and evaluation to sequential decision-making. The course covers core machine learning tools for business analytics and introduces reinforcement learning as a framework for optimizing repeated business decisions. Technology Ventures I (EN) Technology Ventures provides a science-based foundation and hands-on experience in launching new ventures. By working on their own concepts, students learn to recognize attractive market opportunities, design scalable business models, and develop effective market-entry strategies. Algorithmic game theory (EN) We will study mathematical models of the interplay between algorithms and strategic behavior. We cover fundamental concepts from game theory and mechanism design, including Nash equilibria, the price of anarchy, auctions and market design, incentive compatibility, and online learning and dynamics. Technology Ventures II (EN) Technology Ventures provides a science-based foundation and hands-on experience in launching new ventures. By working on their own concepts, students learn to recognize attractive market opportunities, design scalable business models, and develop effective market-entry strategies. Technology, sustainability and public policy (EN) Technology is a driver of long-term growth but it can also undermine sustainable development. This course introduces microeconomic models of market and collective action failures, models of complex systems, as well as the design of optimal public policies to tackle these issues. Principles of microeconomics (EN) The course introduces students to the core tools and concepts of modern microeconomic analysis. Combining graphical reasoning and analytical methods, it emphasizes continuous links between theory and real-world economic issues. Practical business law (EN) The course covers the fundamental concepts of business law from a practical standpoint, including contracts and company law, intellectual property, data protection and competition law, with a special focus on issues specific to start-up companies. Negotiation techniques (EN) This course is designed to give you a practical, hands-on opportunity to learn the basics of negotiating, self leadership and the impact of culture. Strategies and techniques are presented and practiced that will enable you to develop your skills and become a confident negotiator. Leading and managing in a global context (EN) This course examines management and leadership concepts and provides tools to apply when working in global environments. Participants will explore and develop their self awareness and how to apply the course content to adapt the way they work with, lead and manage teams in a multicultural context. Intercultural presentation skills (EN) In this course students learn how make an effective presentation, structure and organize information, develop storytelling techniques, empathise with and engage diverse audiences, use visual support materials effectively, and manage challenges and Q&A with confidence and conviction. Sustainability in the global context (EN) This course equips you with the tools needed to evaluate the economic, historical, and political dimensions of climate change from a global perspective. You will also learn about the international institutions and megatrends shaping and constraining the solutions. Strategy, sustainability and innovation (EN) The current world of business is changing fast, in particular through the need to find a more sustainable economic model and through the rise of new technologies. These changes generate constraints but also tremendous opportunities to rethink competitive landscapes & to come up with disruptive strat Improve your personal effectiveness (EN) The aim of this integration week is to improve personal effectiveness by building self-awareness through activities, reflections, and academic material. You will have built trust and relationships that will help you work together in developing your leadership throughout the rest of the program. Improve your group effectiveness (EN) During the leadership integration sessions, you will learn what are the conditions for a team to effectively work together. You will explore the stages of group development and team dynamics. You will analyze team performance through the lens of the BART model. Principles of finance (EN) The course provides a market-oriented framework for analyzing the major financial decisions made by firms. It provides an introduction to valuation techniques, investment decisions, asset valuation, financing decisions, derivatives, and sustainable finance. Optimal decision making (EN) This course introduces the theory and applications of optimization. We develop tools and concepts of optimization and decision analysis that enable managers in manufacturing, service operations, marketing, transportation and finance to transform data into insights for making better decisions. Applied probability & stochastic processes (EN) This course focuses on dynamic models of random phenomena, and in particular, the most popular classes of such models: Markov chains and Markov decision processes. We will also study applications in queuing theory, finance, project management, etc. Complex problem solving in organizations (EN) As a professional you will need to solve all sorts of complex problems, requiring you to think strategically. This course develops your strategic thinking skills by giving you a demonstrated process and actionable tools that will be useful no matter the nature of the challenge you face. Economics for challenging times (EN) This course analyzes socio-economic issues related to poverty, inequalities, climate change, globalization, migration, AI, etc. We teach students how to analyze data using quantitative methods in economics and develop solutions compatible with the functioning of market economies. Introduction to ethics & critical thinking (EN) In a society that is changing at high speed, the solutions that we have learned and the challenges we face, do no longer fit together. The accelerating ecological crisis and digitalization are profoundly transforming our way of life. In times of great change and disorientation, ethics moves center s Data Science & Causal Inference for Sustainability (EN) This class explores key climate questions through data. Students will learn to collect, clean, and analyze data, apply causal methods using Python, and communicate insights clearly. With a focus on sustainability, the course builds skills to avoid pitfalls and draw meaningful conclusions. Data science and machine learning (EN) Hands-on introduction to data science and machine learning. We explore recommender systems, generative AI, chatbots, graphs, as well as regression, classification, clustering, dimensionality reduction, text analytics, neural networks. The course consists of lectures and coding sessions using Python. Environmental assessment and reporting (EN) Learn how to assess, analyse, report and communicate the environmental impacts of companies, projects and products considering whole value chains, i.e. applying Life Cycle Impact Assessment. State-of-the-art standards, methodologies, databases and indicators will be considered. Social entrepreneurship (EN) The purpose of this interdisciplinary course is to equip students with tools to make sense of, and act in, an ever more complex and interdependent world. Performance Management (EN) The objective of the course is to provide participants with the main processes and tools a company applies to evaluate the financial and non financial performance.
Supply chain management (EN) This course introduces key concepts in supply chain management. It uses a combination of case studies, simulation exercises, formal lectures and group discussions to illustrate how the various concepts can be successfully implemented in practice. Sustainable logistics operations (EN) We address quantitatively the management of logistics operations, focusing notably on their environmental impact. Considering practical situations, focus is paid on the optimization of logistics systems, in particular when the objective is to minimize their associated environmental footprint. Marketing & sustainability in a digital world (EN) The goal of this course is to understand the key role that marketing could be playing when firms seek to develop sustainable strategies : a positive force of change. This, however, will require a substantial re-orientation of current practices. Come with an open mind! Advanced sustainable accounting and finance (EN) Students will learn tools and techniques to improve society and create value from an accounting and finance perspective. This course will develop the student’s critical thinking, problem-solving and presentation skills to assess and understand the problematics linked to ESG investing and reporting. Nature finance (EN) This course explores the many financial instruments that can come as a support for protection and regeneration of natural assets. Communication for impact (EN) Effective communication is a critical skill in both personal and professional settings. This course is designed to equip you
with the fundamental principles and practical techniques to enhance your ability to communicate with impact. Sustainable transformation and future-fit business (EN) This course explores the practical side of sustainability in business, by diving into the key impact areas and examining concrete steps businesses can take to drive transformation. Students will work on a practical project with a company to identify and implement strategic impact improvements. Entrepreneurial Leadership Project – Spring (EN) This course, in collaboration with the Talent Kick program, helps aspiring student entrepreneurs gain hands-on entrepreneurial experience on the path from research into practice. Talent Kick is an initiative of the Kick Foundation. Innovation & entrepreneurship in engineering (EN) This course is a joint initiative between the School of Engineering and the College of Management to encourage and promote entrepreneurship and management skills, engineering design, hands-on experience, teamwork, and awareness of social and ethical implications in engineering and management. ESG accounting and reporting (EN) We will look at the trends that led to mandatory ESG reporting and to what extent they are affecting current business practice. Open Innovation Lab (EN) The Open Innovation Lab is an experiential, project-based course where students design open innovation strategies with industry partners. Teams tackle strategic challenges proposed by companies at the EPFL Innovation Park, applying classroom concepts to real innovation management problems. Introduction to econometrics (EN) The course provides an introduction to econometrics for economics, management, and financial applications. The objective is to learn how to make valid (causal) inference from economic and social data. Mathematical models in supply chain management (EN) Over the past decade, supply chain management has drawn enormous attention by industry and academia alike. Given an increasingly global economy, pronounced trends towards outsourcing and advances in information technology, more and more complex business relationships among companies have evolve Microeconomics (EN) This course presents a first introduction to microeconomic theory and its applications. It lays the foundation for more advanced courses. Publishing in Management, Technology and Innovation (EN) The seminar aims to improve doctoral students’ competencies in management, technology, and innovation to publish their work in leading academic journals. Technology and Public Policy – Technology and innovation policies for grand and global challenges (EN) This course addresses the design of policies for Grand Challenges. It aims at providing a policy toolkit – about innovation, economic regulation and societal inclusion – while supporting students about writing the first pillars of a roadmap to address one specific Grand Challenge. From lab to market: key steps (EN) In this course, participants will learn how to identify and evaluate market opportunities stemming from new technologies. It is targeted to everyone who seeks to create a startup or wants to understand critical steps in the innovation process. Electrotechnics I (FR) The course covers the basics of electrical circuits composed of linear components, in direct current (DC) operation. A series of transforming methods are studied. At the end of the semester, alternate current (AC) systems are treated (complex numbers). Many examples and demos illustrate the course. Electrotechnics II (EN) This course gives an introduction to electronic systems, building upon the foundational components you have learned about in Electrotechnique-I. You will study the frequency behavior of complex RLC systems, three-phase systems and time-dependent systems. Probability & statistics for engineers (EN) This course covers the basics of probability and statistical techniques for engineers, including major probability concepts, data analysis, and statistical inference. Mechanism Design I (FR) This course introduces the basics of structural mechanics: calculation of stresses and strains caused by external forces and calculation of strains. This theoretical training is applied to the design of important elements of precision mechanisms. Mechanism Design II (FR) This second semester develops creative design skills applied to the field of microtechnology mechanisms. It focuses both on knowledge (components, physical principles, dimensioning) and cognitive process of design. Microcontrollers (FR) Microcontrollers covers the internal operation of a microcontroller, basic notions of microprocessor architecture and computer systems as well as microcontroller interfaces and serial communication protocols. Machining training course in Microtechnics (FR) The Micro-220 machining practicum is a fundamental step in the engineering program at EPFL. This concise and intensive training exposes students to essential machining skills, a valuable asset for a future career. Manufacturing technologies (EN) This course gives an introduction to production methods and manufacturing technologies used in microengineering. The focus is given on the understanding of physical phenomena underlying the processes, the relation between materials, manufacturing processes and design, as well as economical aspects. Microfabrication I (EN) This course introduces the fundamental process technologies and applications of modern micro- and nanofabrication as practised in cleanroom environments. Microfabrication II (EN) This course focuses on advanced process technologies and microsystem integration strategies. Students will deepen their understanding of selected state-of-the-art fabrication techniques and learn how to design, optimise, and evaluate complete fabrication workflows for complex microsystems. Signals and systems I (for MT) (FR) Introduction of the basic concepts and mathematical tools for the characterization of signals and for the analysis and design of linear systems (filters or transmission channels). Application of these techniques to signal processing and communications. Signals and systems I (for SV) (FR) Introduction of the basic concepts and mathematical tools for the analysis and characterization of signals, the design of processing algorithms, and the linear modeling of systems for students in the life sciences. Application of these techniques to signal processing and communications. Signals and systems II (for MT) (FR) This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform). Physics of semiconductors devices (FR) The students are able to explain the physics of semiconductor devices like diodes, transistors, and MOS devices. They use such devices in fundamental electronic circuits, like inverters and amplifiers. Actuators and Electromagnetic systems I (FR) The course covers the main methods for the analysis of electromechanical systems. A study of magnetic physical quantities is followed by the conversion of electrical energy into mechanical energy. The permanent magnet is studied macroscopically. The dynamic aspect of the system is seen at the end. Actuators and Electromagnetic systems II (FR) The students will be able to model, simulate and measure actuators and electrical motors Embedded Systems and Robotics (FR) This course deals with the programming of embedded systems: cross-compilation, the use of FPU in microcontrollers, the use of DSP instructions and the mechanisms available in a Real-time Operating System. The whole is implemented in a robotic context. Optical engineering (for MT)
(FR) This class presents different facets of modern optics and emphasizes both rigorous foundations and practical applications. The course includes lectures and exercises, as well as experiments in the DLLs. Optical engineering (for EL) (FR) This class presents different facets of modern optics and emphasizes both rigorous foundations and practical applications. Sensors (FR) Physical principles and electronics used in sensors. Applications of sensors. Microfabrication practicals (EN) The goal of this course is to introduce students to the practical aspects of some basic micro-fabrication techniques. Wireless sensor practicals (EN) In this course, students will design, fabricate, and characterize a wireless sensor wearable. Students will design a custom-chosen wearable around a standardized wireless microcotroller platform, including the electronics and packaging, and will characterize and analyze its performance. Software architecture (FR) This courses covers topics in modern and industrial software architecture including: agile project management, specifications, development of critical applications, design patterns, robuste code, and devOps aspects (automating tests, and continuous integration and deployment) Advanced microfabrication practicals (EN) This TP allows for in-depth training on advanced micro and nanofabrication methods in a clean-room environment for selected applications, gain deeper knowledge in MEMS/NEMS processes, work in a small group together with PhD students/postdocs during 14 weeks touching all aspects of a microprocess. Light, liquids and interfaces (EN) This course provides an overview of relevant interactions in liquids, combining thermodynamics, statistical physics and pair potetnials. Water and aqueos systm,es will be considered in detail. Optical techniques to investigate liquid and liquid interfacial structure will treated. Machine learning programming (EN) This is a practice-based course, where students program algorithms in machine learning and evaluate the performance of the algorithm thoroughly using real-world dataset. Products design & systems engineering (EN) This course will cover all the aspects of product design and system engineering from learning relevant methods to the actual implementation in a hands-on practice of product development. Materials design for vat photopolymerization (EN) This course is focused on designing materials for vat photopolymerization 3D printing technologies. The course combines theoretical description with practical lab work where students will design, formulate, and print their own materials.
Laboratory introduction to biochemistry (EN) This course introduces engineers to the most commonly used techniques required to conduct work in Molecular Biology and Biochemistry. During this course students will generate and characterize a functional cell-free transcription translation system. Advanced additive manufacturing technologies (EN) Advanced 3D forming techniques for high throughput and high resolution (nanometric) for large scale production. Digital manufacturing of functional layers, microsystems and smart systems. Selected topics in advanced optics (EN) This course proposes a selection of different facets of modern optics and photonics. Computational optical imaging (EN) Modern imaging systems combine traditional optical devices (lenses, endoscopes, cameras, laser scanners, etc) with digital computers. In this course we learn how to use computational tools to simulate the optical system and combine them with neural networks that process the optical images Optics laboratories (spring) (EN) This laboratory work allows students to deepen their understanding of optical instruments, optoelectronic devices and diagnostic methods. Students will be introduced in state of the art optical instruments and measurement principles. Optics laboratories (autumn) (EN) This laboratory work allows students to deepen their understanding of optical instruments, optoelectronic devices and diagnostic methods. Students will be introduced in state of the art optical instruments and measurement principles.
Laser fundamentals and applications for engineers (EN) The course will cover the fundamentals of lasers and focus on selected practical applications using lasers in engineering. The course is divided approximately as 1/3 theory and 2/3 covering selected applications.
Metrology (EN) The course deals with the concept of measuring in different domains, particularly in the electrical, optical, and microscale domains. The course will end with a perspective on quantum measurements, which could trigger the ultimate revolution in metrology. Metrology practicals (EN) The student will get familiar with the techniques learnt in class (MICRO-428) and will put them to practice with experiments in the laboratory. There will be a practical training for each theme covered in class; the students will also learn good practices during measurements (lab notebook included). Quantum and nanocomputing (EN) The course teaches non von-Neumann architectures. The first part of the course deals with quantum computing, sensing, and communications. The second focuses on field-coupled and conduction-based nanocomputing, in-memory and molecular computing, cellular automata, and spintronic computing. Computational motor control (EN) The course gives (1) a review of different types of numerical models of control of locomotion and movement in animals, from fish to humans, (2) a presentation of different techniques for designing models, and (3) an analysis of the use and testing of those models in robotics and neuroprosthetics. Conceptual design of products and systems (FR) Reverse engineering – a methodology of discovering the technological principles of a device, object, or system through analysis of its structure, function and operation. The purpose is to deduce design decisions from end-products with little or no additional knowledge about the original production. Manufacturing systems and supply chain dynamics (EN) This course discusses quantitatively some important and generic performance and reliability issues that affect the behavior of manufacturing systems and supply chains. Applied Electromagnetics for Metamaterial Design (FR) This course provides the students with the appropriate electromagnetics foundation to understand, model and design metamaterials, especially two-dimensional electromagnetic and optical structures such as metasurfaces. This course covers concepts that apply to both the microwave and optical regimes. Basics of robotics for manipulation (EN) This course introduces the basics of robotics for manipulation. The aspects concerning robot architectures (Serial , Parallel and Cartesian), sensors, kinematics and dynamic modelling and control are presented. Each of these theoretical topics is i concern with a industrial context. Applied and industrial robotics (EN) This course is a real contact with industrial robotic applications. Components and mechanisms are reminded. The fields of microtechnical assembly and packaging are treated. CTOs from established companies (BlueBotics, Adept, Maxon motors and UniTechnologies) are involved in this course. Basics of mobile robotics (EN) This course gives an overview of the field of mobile robotics, introducing to the main techniques and allowing to test them in exercises and a team-based project. Robotics practicals (EN) The goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic devices, all the way to interactive robots. Machine learning I (EN) Real-world engineering applications must cope with a large dataset of dynamic variables, which cannot be well approximated by classical or deterministic models. This course gives an overview of methods from Machine Learning for the analysis of non-linear, highly noisy and multi dimensional data Learning and adaptive control for robots (EN) To cope with constant and unexpected changes in their environment, robots need to adapt their paths rapidly and appropriately without endangering humans. this course presents method to react within millisecunds. Fundamentals of integrated photonic components (EN) This course gives an introduction to basic integrated photonics components that are at the core of photonic nanotechnologies today. The course combines theoretical description with practical lab work where students will do simulations in CST Microwave Studio. MEMS Actuator practicals (EN) The goal of this practical work is to create thermal micro-actuators consisting of micro-cantilevers made out of silicon dioxide and covered by chromium meander-shaped electrical tracks and contact pads. Aerial robotics (EN) The course provides an introduction to the design, control, and applications of aerial robots. Students will be able to translate theoretical concepts into practice by means of hands-on exercises with simulated and real drones. MEMS sensors practicals (EN) The objective of this practical is to apply in specific experimental settings the knowledge acquired in various MEMS related class. Organic and printed electronics (EN) This course addresses the implementation of organic and printed electronics technologies using large area manufacturing techniques. It will provide knowledge on materials, printing techniques, devices, systems, and applications: state of the art and current status on commercialization. Legged robots (EN) The course presents the design, control, and applications of legged robots. It gives a review of different types of legged robots (including two-, four- and multi-legged robots), and an analysis of different control methods for legged locomotion. Embedded motor control (FR) The student will be able to design, implement and program a motor control electronic. He will know how to apply the theory of motor control to real systems. Image processing I (EN) Introduction to the basic techniques of image processing. Introduction to the development of image-processing software and to prototyping using Jupyter notebooks. Application to real-world examples in industrial vision and biomedical imaging. Image processing II (EN) Study of advanced image processing; mathematical imaging. Development of image-processing software and prototyping in Jupyter Notebooks; application to real-world examples in industrial vision and biomedical imaging. Nanophotonics (EN) Students understand and apply the physics of the interaction of light with semiconductors. They understand the operating mechanism of scaled photonic devices such as photodetectors, LEDs and lasers, as well as challenges and opportunities relating to their integration and dimensional scaling. Optical design with ZEMAX (EN) Introduction to computer-aided design of optical systems using “ZEMAX OpticStudio” optical design software. Principles of optical systems design and performance analysis with geometrical optics and raytracing. Evaluation and minimization of optical aberrations in an optical design. Quantitative imaging for engineers (EN) This course will arm students with knowledge of different imaging techniques for practical measurements in many different fields of engineering.
Modalities will range from drone imaging all the way down to x-ray microscopy with practical sessions Laser microprocessing (EN) The physical principles of laser light materials interactions are introduced with a large number of industrial application examples. Materials processing lasers are developing further and further, the lecture presents the physical limitations of the processes. Optical detectors (EN) Students analyse the fundamental characteristics of optical detectors, their architectures, selected applications and case studies. Photoemissive devices, photodiodes, infrared and single-photon detectors are studied. CCD, CMOS and SPAD cameras are analysed in detail, including advanced systems. Nanotechnology (EN) This course gives the basics for understanding nanotechnology from an engineer’s perspective: physical background, materials aspects and scaling laws, fabrication and imaging of nanoscale devices. Advanced MEMS & microsystems (EN) In depth analysis of the operation principles and technology of advanced micro- and nanosystems. Familiarisation to their implementation into products and their applications. Haptic human robot interfaces (EN) This course teaches basic knowledge on haptic devices, force feedback and mechanical man-machine interfaces. Lectures are about 40 %, the rest is hands-on practical work with the “haptic paddle”, a complete mechanical device with full laptop control interface. Realization of project in groups of 2. Iontronics (EN) Iontronics is an emerging field that focuses on the use and control of ions as signal carriers to perform specific tasks. The course covers the fundamentals of iontronics and introduces its applications in many fields. Seminars in Electrical and Micro Engineering (EN) This course introduces broad research directions in electrical and micro engineering through a series of weekly, wide-audience seminars delivered by distinguished speakers. The students practice transferable skills, including active listening, critical thinking, and scientific communication. Fundamentals of biomicroscopy (EN) Introduction to the basic operational principles of the most commonly used optical microscopes such as widefield and fluorescence.
Introduction to essential microscopy components such as lenses, objectives, filters, cameras and light sources. Experimental biomicroscopy (EN) By combining hands-on and theoretical training, this course introduces commonly used optical microscopy techniques. The lab training takes place in BIOP Core Facility and provides access to use microscopes and image biological samples. Theoretical part covers their basic operation principles. Fundamentals & processes for photovoltaic devices (EN) The objective of this lecture is to give an in-depth understanding of the physics and manufacturing processes of photovoltaic solar cells and related devices (photodetectors, photoconductors). The principle and techniques addressed in this lecture will be useful in a wide range of related fields. Seminar in physiology and instrumentation (FR) To get familiar with the state-of-the-art in medical and bio-instrumentation. To acquire basic understanding of related physiology associated to these instruments. Micro-magnetic field sensors and actuators (EN) The course provides the basis to understand the physics, the key performance, and the research and industrial applications of magnetic sensors and actuators. Together with a detailed introduction to magnetism, several magnetic sensors
and actuators are studied. Optical MEMS and micro-optics (EN) Micro-optics and Optical MEMS let us shape light with unmatched precision and speed. From fiber networks to LIDAR, they drive innovation in compact systems. MICRO 605 takes you from core principles to breakthrough applications in this fast-evolving field. Scaling in MEMS (EN) This doctoral class covers the scaling of MEMS devices, including mechanical, thermal, electrostatic, electromagnetic, and microfluidic aspects. Optical Computing (EN) In this course we will start with a brief history of optical computing, describe methods for implementing optical interconnection and logic and then spend most of our time on learning about the recent efforts in optical computing machines for machine learning. Electrochemical nano-bio-sensing and bio/CMOS interfaces (EN) Main aim of the course is to introduce, in designing of modern wearable and implantable devices, the new concept of co-design three system’ layers: Bio for Specificity, Nano for Sensitivity, and CMOS for autonomy. Recent examples of devices realised for m-Health are presented and deeply discussed. Energy Autonomous Wireless Smart Systems (EN) The course provides in depth knowledge on how to design an energy autonomous microsystem embedding sensors with wireless transmission of information. It covers the energy generation, power management, and data processing and transmission with an emphasis on low-power and energy efficient operation. Soft Microsystems Processing and Devices (EN) Amongst others, following topics will be covered during the course:
– Soft Microsystems and Electronics
– Electroactive polymers
– Printed electronics and microsystems
– Inkjet printing of polymers
– Stretchable electronics
– Mechanical reliability
– Stencil lithography
– Scanning Probe Lithography MOOC: Micro and Nanofabrication (MEMS) (EN) Micro- and nanofabrication can be taught to students and professionals by textbooks and ex-cathedra lectures, but the real learning comes from seeing the manufacturing steps as they happen. This MOOC will not only explain the basics of microfabrication but also show the practice through videos. Modelling micro-/nano- field effect electron devices (EN) The course provides an in depth modeling of emerging field effect transistors in CMOS technologty. Starting from the basis, the course will gardually introduce essential aspects to end up with a rigorous description of key features, Nanowire FET & its application to biosensing will also be analyzed. Wearables and implantables for personalized and preventive healthcare (EN) This multidisciplinary course presents, from both engineering and medical perspectives, the state-of-the-art, applications and impact of wearable and implantable technologies, with focus on cardiovascular healthcare shift from intervention-based to personalized and preventive medical strategies. Selected topics in advanced manufacturing (EN) The course aims to provide a comprehensive overview of ongoing advanced manufacturing research topics and an opportunity for students to investigate current research trends. Advanced micro-/nano- manufacturing (EN) This course contains lectures covering the latest research and development done in the field of micro-/nano- manufacturing methods and processes.
It consists on an intensive 5 days training and is done in the framework of a collaboration between FEMTO-ST in France and EPFL. Single-photon detectors (EN) Students analyse the fundamental characteristics of single-photon detectors, their specific strengths and architectures, selected applications and case studies. Topics will include solid-state detectors, such as SPADs, photoemissive devices, and superconducting detectors, such as SNSPDs. Sustainable lab practices for engineering (EN) This course equips researchers to assess and reduce the environmental impact of laboratory research. Through lectures, workshops, and project work, participants learn to measure their lab’s carbon footprint, apply sustainability frameworks,
and lead metric-driven sustainability initiatives. Microfluidics for lab-on-a-chip (EN) The course covers the entire field of lab-on-a-chip technology, including microfluidic principles and various microfabrication approaches, and presenting concrete examples of devices for (bio)analysis, cell biology, tissue regeneration and microreactors. 3D Printing with light (EN) Optical aspects of 3D printing technology. This includes optical systems for scanning and excitation, photopolymers, glass and other photoactive materials, and optical components fabricated with 3D printing technology. Advanced topics in micro- and nanomanufacturing: top-down meets bottom-up (EN) This course introduces advanced fabrication methods enabling the manufacturing of novel micro- and nanosystems (NEMS/MEMS). Both top-down techniques (lithography, stenciling, scanning probes, additive techniques) and bottom-up approaches (self-assembly) are presented. Advanced Photonics (EN) The course offers an overview on selected advanced photonics topics. It targets students with a broad photonics background or equivalent, who are willing to broaden their knowledge in the discipline. The course is given by lecturers from both EPFL and FEMTO-ST. Beyond CMOS devices and advanced computing architectures (EN) This course provides the trends in nanoelectronics for scaling, better performances and lower energy per function. It
covers fundamental phenomena of nanoscale devices, beyond CMOS steep slope switches, emerging architectures,
cryo electronics, non-volatile memories and energy efficient smart sensin Introduction to materials science (FR) Ce cours met en relation les différents niveaux de structuration de la matière avec les propriétés mécaniques, thermiques, électriques, magnétiques et optiques des matériaux.
Des travaux pratiques en laboratoire et un projet de groupe permettent d’appréhender le métier d’ingénieur en matériaux. Materials:from chemistry to properties (FR) This course enables to acquire the essential notions relative to the structure of matter, equilibrium and chemical reactions in relation to mechanical, thermal, electric, and magnetic properties of materials. Materials:from chemistry to properties (FR) This class will teach the fundamental concepts regarding materials and their micro-structure, as well as the equilibrium and dynamics of chemical reactions. A link will be made between these concepts and the mechanical, thermal, electrical, magnetic and optical properties of materials. Materials (FR) Introduction course of material science applied to usual building materials, especially concrete and metals. Description of their fabrication, mechanical and thermal properties and use in construction. Continuum mechanics (FR) In this course, the tools to describe the materials not at the atom level but as a continuum are presented. The stress and deformation tensors, the conservation laws (mass, energy, momentum), the linear elasticity and the Newtonian flow are treated using examples of practical applications. Thermodynamics for materials science (EN) This course establishes the basic concepts of thermodynamics and defines the main state functions. The concepts are then applied to the study of phase diagrams of various systems. Materials mechanics (FR) Mechanics of deformable solids is introduced to determine stresses and strains into various isotropic materials loaded in tension, compression, shear, torsion and bending. Failure criteria and limits of elasticity are discussed. Structures from engineering and biology are provided. Rheology and fluid mechanics (FR) This course is an introduction to the rheology of linear viscoelastic solids, and to fluid flow and methods used in rheology of fluids. Various types of fluids and phenomena are considered with various exemples, Newtonian or non-newtonian liquids, turbulence, reactive systems and suspensions. Functional properties of materials (FR) The main objective of this course is to present the concepts allowing the understanding of the fundamental principles that enable to predict the properties of the materials. The goal is that with these concepts, one will be able to realize material design and/or to understand novel materials. Organic chemistry (EN) This course provides a basic foundation in organic
chemistry and polymer chemistry, including chemical nomenclature of organic compounds and polymers, an understanding of chemical structures, chemical reaction mechanisms, as well as methods of organic and polymer synthesis. Probability and statistics for materials science (EN) The course establishes the concepts of statistical analysis, probability theory, and data analysis. This includes standard statistical tests, correlation analysis and experimental design. It introduces computational statistical methods to analyse large data sets. Materials engineering I (EN) An introduction to the processing-microstructure-property relationships of polymers and metals. The objectives of the course are to understand a) basic behaviors of polymers and metals and b) how to select materials for components relevant in microtechnology Materials engineering II (FR) After Materials engineering I on polymers and metals, the links between processing-structures-properties of ceramics for microtechnology are presented. Hands-on works will allow to process and characterize properties of the 3 types of materials. Mechanical behaviour of materials (FR) This course provides an introduction to the mechanical behaviour, the processing, the structure and life-cycle of major classes of structural materials (metals, polymers, ceramics and composites). Metals and alloys (FR) Introduction to metals and alloys used in engineering, and to the relationships between their processing, their microstructure and their mechanical behaviour, taught with focus on the three main engineering metal alloy systems, namely alloys of aluminium, copper, and iron. Practice in materials (FR) TPs matériaux BA4 aim at illustrating the notions seen in the classes Introduction à la Science des Matériaux and Métaux et Alliages. The link between microstructure, process and properties is emphasized, together with the analysis of measurements and the writing of a report. Structure of materials (EN) Introduction to materials structure including crystallography, the structure of amorphous materials such as glasses, polymers and biomaterials as well as the basics of characterization techniques. Phase transformations (FR) This course is an introduction to the thermodynamics and crystallography liquid-solid and solid-solid phase transformations. It is essentially focused on metallic materials, but will occasionally make extensions to ceramics and rocks. Surfaces and interfaces (EN) This lecture introduces the fundamental concepts for describing, characterizing, and engineering surfaces and interfaces. Students will develop both theoretical and practical understanding of how interfacial phenomena influence surface properties and technological applications. Introduction to atomic-scale modeling (EN) This course provides an introduction to the modeling of matter at the atomic scale, using interactive Jupyter notebooks to see several of the core concepts of materials science in action. Crystalline materials: structures and properties (EN) The properties of crystals and polycrystalline (ceramic) materials including electrical, thermal and electromechanical phenomena are studied in connection with structures, point defects and phase relations. The students learn how to analyse/predict properties based on structure, symmetry and defects Deformation of materials (FR) Introduction to deformation mechanisms in inorganic materials: elasticity, plasticity and creep. Corrosion and protection of metals + Laboratory Work (FR) This introductory corrosion course aims at familiarizing the student with the mechanisms of corrosion, with various forms of corrosion and with the principles of protection against corrosion. Building materials + Laboratory work (FR) Materials science of common non metallic building materials, with emphasis on cementitious materials (concrete). Chemical composition, fabrication and behaviour in service Ceramic and colloidal processing (EN) The course covers the production of ceramics and colloids from the basic scientific concepts and theories needed to understand the forming processes to the mechanisms and methods of sintering (firing) ceramics. Including the scientific principles behind the formation of colloidal dispersions. Polymer composites + Laboratory Work (FR) Mechanical and physical properties of anisotropic materials and calculation tools are presented. Constituents, processing techniques and structure-processing-properties relationships are given for different types of organic matrix composites. Applications in transport,sport and energy are discussed. Sustainability and materials (EN) This course addresses sustainability across the materials life cycle, from extraction to end of life. Students learn the concepts, metrics, and tools to evaluate the environmental and societal impacts of materials, then apply them to real-world cases. Surface analysis (EN) The course treats the main surface analysis methods for the characterization of surfaces, interfaces and thin films. It discusses how these methods can be applied to gain specific knowledge about structural, chemical and functional properties of surfaces and thin films. Limitation to 18 students! Introduction to microscopy + Laboratory work (FR) This course of introduction to microscopy aims at giving an overview of the various techniques of microstructure and composition analysis of materials. It focuses in particular on electron and optical microscopy. This course is composed of lectures and practical demonstrations on microscopes. Polymer science + TP (EN) Introduction to polymer physics and the link between chemical structure and macroscopic properties, with emphasis on morphology and thermomechanical behaviour, polymer technology and manufacturing techniques, providing a basis for the rational selection of polymers in an industrial context. Polymer science (EN) Introduction to polymer physics and the link between chemical structure and macroscopic properties, with emphasis on morphology and thermomechanical behaviour, polymer technology and manufacturing techniques, providing a basis for the rational selection of polymers in an industrial context. Finite element theory and practice (FR) The aim of this class is to understand the finite element method i.e. the weak and strong variational formulations and the resolution schemes in space and time. The second part of the semester is dedicated to the practice using the commercial program Abaqus. Materials project (FR) The student applies the acquired skills to an academic or industrial projects. Cementitious materials (advanced) (EN) This course provides students with the scientific and engineering foundations to develop next-generation low-carbon cementitious materials. It links composition, processing, microstructure, performance, durability, and environmental impact to advance sustainable construction. Statistical mechanics (EN) This course presents an introduction to statistical mechanics geared towards materials scientists. The concepts of macroscopic thermodynamics will be related to a microscopic picture and a statistical interpretation. Lectures and exercises will be complemented with hands-on simulation projects. Advanced metallurgy (EN) This course covers the metallurgy, processing and properties of modern high-performance metals and alloys (e.g. advanced steels, Ni-base, Ti-base, High Entropy Alloys etc.). In addition, the principles of computational alloy design as well as approaches for a sustainable metallurgy will be addressed Fundamentals of solid-state materials (EN) Fundamentals of quantum mechanics as applied to atoms, molecules, and solids. Electronic, optical, and magnetic properties of solids. Fracture of materials (EN) This course covers elementary fracture mechanics and its application to the fracture of engineering materials. Soft matter (EN) The first part of the course is devoted to the self-assembly of molecules. In the second part we discuss basic physical chemical principles of polymers in solutions, at interfaces, and in bulk. Finally, we look at colloids and emulsions. Physical chemistry of polymeric materials (EN) The student has a basic understanding of the physical and physicochemical principles which result from the chainlike structure of synthetic macromolecules. The student can predict major characteristics of a polymer from its chemical structure and molecular architecture. Introduction to magnetic materials in modern technologies (EN) Interactive course addressing bulk and thin-film magnetic materials that provide application-specific functionalities in different modern technologies such as e.g. wind energy harvesting, electric article surveillance, spintronics, sensing, and data storage. Towards sustainable materials (EN) This course will address and model key sustainability issues through an engineering lens. It will examine emerging materials, hard to abate, and critical materials used to manufacture items in our economy during the transition to NetZero targets and their environmental, societal, and human impacts. Material science at large scale facilities (EN) This course provides a broad introduction into materials research using synchrotron X-rays, neutrons and myons. After an introduction into large scale facilities, we will dive into the different methods, including application examples from various fields of materials science. Polymer chemistry and macromolecular engineering (EN) Know modern methods of polymer synthesis. Understand how parameters, which determine polymer structure and properties, such as molecular weight, molecular weight distribution, topology, microstructure can be controlled by proper choice of polymerization method and optimization of reaction condition Composites technology (EN) The latest developments in processing and the novel generations of organic composites are discussed.
Nanocomposites, adaptive composites and biocomposites are presented. Product development, cost analysis and study
of new markets are practiced in team work. Electrochemistry for materials technology (EN) This course aims at familiarizing the student with state of the art applications of electrochemistry in materials science and technology as well as material requirements for electrochemical engineering. Electron microscopy: advanced methods (EN) With this course, the student will learn about advanced methods in transmission electron microscopy, especially what is the electron optical setup involved in the acquisition, and how to interpret the data. After the course, students will be able to understand and assess TEM encountered in papers. Thin film fabrication technologies (EN) The students will learn about the essential chemical, thermodynamic and physical mechanisms governing thin film growth, about the most important process techniques and their typical features, including process-microstructure-film properties relationships. Wood structures, properties and uses (EN) The presentation of tree growth and formation of wood anatomical structures, linked to the description of specific physical and mechanical properties, makes it possible to understand the different forms of utilisation of this material, including aspects of sustainable development. IMX Colloquium (autumn) (EN) A series of seminars on selected current and emerging topics in Materials will be presented by experts.
Biomaterials (pour MX) (EN) This course introduces the principles governing biomaterials and their interactions with biological systems. Topics include material properties, biointerfaces, mechanobiology, drug delivery, tissue engineering, and immune engineering, with emphasis on design, performance, and clinical translation. Materials selection (EN) Propose suitable materials, design, and production routes depending on different performance criteria using a computer based software approach. The course is based on Prof. Mike Ashby’s well known “Ashby plots” comparing different material properties (mechanical, thermal, chemical, etc.). Optical properties of materials (EN) Students will study fundamental principles of light-matter interaction and apply classical and quantum mechanical models for quantitative estimates. Optical phenomena in glasses, organic/inorganic semiconductors, liquid crystals, quantum structures as well as device applications will be treated. Advanced phase transformations (EN) This course provides an overview of the phenomenological concepts and mathematical tools that have been developed to study the thermodynamics, kinetics and mechanics of phase transformations. Tribology (EN) This introductory course in tribology (science of friction, lubrication and wear) has specific goals : to present the basic principles of tribology, to develop the attitude to analyse tribological and to illustrate correlations between materials and tribological properties.
Organic electronic materials (EN) This course will introduce students to the field of organic electronic materials. The goal of this course is to discuss the origin of electronic properties in organic materials, charge transport mechanisms, chemical synthesis, materials processing, and device fabrication. Mathematical methods for materials science (EN) The aim of the course is to review mathematical concepts learned during the bachelor cycle and apply them to concrete problems commonly found in Engineering, and Materials Science in particular. Engineered living materials (EN) This course provides an introduction to the topic of engineered living materials (ELMs), a class of materials that incorporates living cells, thus enabling distinct functionalities such as the ability to grow, heal, adapt, sense, and respond. Quantum materials: fundamentals and applications (EN) Introduces the exceptional electromagnetic and optical properties of low-dimensional, Dirac and superconducting materials – the quantum-mechanical models that explain them, and experimental techniques to probe them. Surveys new applications in information processing, sensing, energy technologies.. Advanced ceramic technologies (EN) Advanced ceramic processing concepts and technologies will be presented. Students will learn concepts on advanced technologically-relevant ceramic materials for a wide range of applications from MedTech, energy conversion & storage, with insights on sustainability & material lifecycle. Charge transport in energy conversion and storage (EN) Fundamental concepts of charge transport in solar cells, batteries, and electrolysers, emphasizing analogies between semiconductor physics and electrochemistry. Introduction to food science and technology (EN) We consider food as a material at molecular & micro-structure levels, in relation to nutritional and organoleptic properties. We will learn about food process engineering principles applied to create taste and texture. We explore aspects of environmental sustainability, economy and public health. Effects of radiation on materials (EN) The purpose of this course is to provide the necessary background to understand the effects of irradiation on pure metals and on alloys used in the nuclear industry. The relation between the radiation-induced defects and the evolution of the mechanical properties is highlighted. Nanofabrication with focused electron and ion beams (EN) Nanofabrication with focused charged particle beams (SEM, FIB) and their applications such as lithography, gas assisted deposition / etching, and milling are discussed and the limitations of these processes are developed based on the acquired understanding of the interactions. X-Ray Analysis for thin films (EN) Intro into the relation between physical and structural properties; introduction into different X-Ray techniques; examples of successful technological transfer using X-Ray techniques;
Structural properties; coherent and non coherent scattering; high resolution X-Ray techniques;
stress; coatings. CCMX Advanced Course – Advanced X-ray Diffraction Methods for Coatings: strain, defects and deformation analysis of thin films (EN) After introducing thin film and HR-XRD characterisation methods, theory and limitations are discussed, including examples and how the film structure influences its characteristics. Protocols are presented for establishing reproducible and reliable measurements, and for interpreting their results. Scanning electron microscopy techniques (a) (EN) This intensive course is intended for researchers who envisage to use scanning electron microscopy techniques for their
research or who want to understand how to interpret SEM images and analytical results presented in scientific
publications. Scanning electron microscopy techniques (b) (EN) This intensive course is intended for researchers who envisage to use scanning electron microscopy techniques for their
research or who want to understand how to interpret SEM images and analytical results presented in scientific
publications. Transmission electron microscopy and diffraction (a) (EN) This intensive course is intended for researchers who envisage using transmission electron microscopy to study materials samples or to help them interpret TEM data in publications. It presents basics of TEM instrumentation, imaging, electron diffraction, specimen preparation and high-resolution TEM. Transmission electron microscopy and diffraction (b) (EN) This intensive course is intended for researchers who envisage using transmission electron microscopy to study materials samples or to help them interpret TEM data in publications. It presents basics of TEM instrumentation, imaging, electron diffraction, specimen preparation and high-resolution TEM. Statistical methods in atomistic computer simulations (EN) The course gives an overview of atomistic simulation methods, combining theoretical lectures and hands-on sessions. It
covers the basics (molecular dynamics and monte carlo sampling) and also more advanced topics (accelerated sampling
of rare events, and non-linear dimensionality reduction) Optical Materials: Fundamental concepts and recent developments (EN) In this class we will review the fundamental origin of the optical properties exhibited by different classes of materials. We will then give examples of the most up-to-date research on optical materials in a few growing scientific and technological fields. Crystal growth by epitaxy (EN) This is an interactive course explaining the main physical and chemical concepts to understand epitaxy of crystalline thin films and what determines the morphology, composition and structure of a material grown per epitaxy both in the bulk and as nanostructure. CCMX Advanced Course – Instrumented Nanoindentation (EN) This course is intended for current nanoindentation users who want to gain the experience and knowledge required to extract useful data from challenging sample materials. It is also intended for users of conventional indentation methods who wish to add this approach to their portofolio of methods. Electrochemistry in Corrosion Research (EN) This course introduces the basic principles of electrochemistry, focusing on corrosion research. It covers the basics of corrosion testing and monitoring techniques, such as linear polarization, cyclic voltammetry and electrochemical impedance spectroscopy (EIS). Limestone-Calcined Clay – Cement : Characterisation methods (EN) Le but est de former doctorants et post doctorants aux méthodes de charactérisation des ciments composés comme la microstructure, la diffraction des rayons X, la calorimétrie, la formulation et la durabilité dans le cadre des actions internationales du project LC3 financé par la DDC. Limestone-Calcined Clay – Cement : Characterisation methods (SPRING) (EN) Le but est de former doctorants et post doctorants aux méthodes de charactérisation des ciments composés comme la
microstructure, la diffraction des rayons X, la calorimétrie, la formulation et la durabilité dans le cadre des actions
internationales du project LC3 financé par la DDC. Powder Diffraction School – Modern Syncrotron Methods (EN) Modern synchrotron-radiation methods not only provide data of exceptional quality, but have allowed previously inaccessible experiments to be performed. The school will give a broad overview of all possibilities using synchrotron radiation, including hands-on practicals. Additive Manufacturing of Metals and Alloys (EN) This course is designed to cover a number of materials science aspects related to the field of additive manufacturing of metals and alloys, and to provide an in-depth review of corresponding fundamentals. CCMX Tribology and Surfaces Interactions (EN) This course is intended to give to the participants (graduates, researchers and industrial professionals) a solid background in tribology and surface interactions. It covers the fundamentals concepts of tribology including surfaces, contact mechanics, friction, lubrication and wear. Non-destructive methods for industry and research (EN) Basic knowledge ofthe classical non-destructive testing methods as they are used today in industrial applications and the advanced
(mosily imaginé) technologies used for the analysis of materials and components in special applications. lt covers several material groups and various applications. Thin film and small scale mechanics (EN) The course focuses on mechanics of solid thin films and small scale structures and on state-of-the-art experimental techniques employed for evaluation and extraction of thin films and small scale structures mechanical properties. Lectures are example intensive, with in depth theoretical analysis. LNM Workshop 2023 (EN) Seminar for PhD/master-students and postdocs on experimental nuclear materials research and simulation for present and future nuclear systems, with some emphasis on advanced manufacturing and analytics. In a group project the students will work on and present scientific and framing aspects. Multidisciplinary NPs characterization (EN) Four experienced scientists will guide students into the world of NPs characterization with different approaches, from laboratory characterization to X-ray/neutron scattering and electron microscopy. The main knowledge acquired will concern the overview of possible complementary technique. Advanced Microscopy for Materials (EN) This course provides an overview of advanced materials characterization techniques, focusing on modern Scanning Electron Microscopy (SEM) combined with Focused Ion Beam (FIB) systems (dual-beam), as well as Transmission Electron Microscopy (TEM) and Atom Probe Tomography (APT). 3D Electron Microscopy and FIB-Nanotomography (EN) The principles of 3D surface (SEM) reconstruction and its limitations will be explained. 3D volume reconstruction and tomography methods by electron microscopy (SEM/FIB and TEM) will be explained and compared with x-ray tomography. Characterization of Materials 2025 (EN) This course introduces materials characterization techniques used by scientists and engineers. Lectures cover basic theory, applications, and limitations, while lab sessions offer hands-on experience, providing a well-rounded understanding of each method.
Scanning and Analytical Transmission Electron Microscopy (EN) This intensive course discusses advanced TEM techniques such as: scanning TEM; analytical TEM using EELS and EDX; aberration corrected imaging; and image simulation. It is intended for researchers who have taken the introductory TEM course MSE-637 or who have a good background in conventional TEM. Brain-like computation and intelligence (EN) Recent advances in machine learning have contributed to the emergence of powerful models of intelligence. In this course we will compare the behavior and underlying mechanisms between these models and biological brains. Neural signals and signal processing (EN) Understanding, processing, and analysis of signals and images obtained from the central and peripheral nervous system Neural interfaces (EN) Neural interfaces (NI) are bioelectronic systems that interface the nervous system to digital technologies. This course presents their main building blocks (transducers, instrumentation & communication), reviews current and upcoming materials and technological solutions for implantable & wearable NI Translational neuroengineering (EN) This course integrates knowledge in basic, systems, clinical and computational neuroscience, and engineering with the goal of translating this integrated knowledge into the development of novel methods, technology for the clinical application for patients suffering from neuropsychiatric disorders. Systems neuroscience (EN) The course “Systems Neuroscience” explores neural circuits and networks to understand how groups of neurons process information and generate behavior. It integrates techniques from neurophysiology, anatomy, genetics, and computer science to investigate complex brain cell interactions. Advanced methods for human neuromodulation (EN) Neuromodulation is an expending field especially in human translational neuroscience and neurotechnology. This course will introduce to different approaches / technologies for neuromodulation, their underlying mechanisms of action and application in humans in healthy and pathological conditions. Regulatory, quality and clinical affairs (EN) This regulatory, quality, and clinical module provides the essential tools and competencies to understand and apply the European and US regulatory frameworks for developing, validating, and marketing a medical device, outlining key compliance activities. Computational neurosciences: neuronal dynamics (EN) In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by deterministic or stochastic differential equations.
La maîtrise du sol en droit suisse (FR) This course is an introduction to Swiss law. The goal of this course is to make aware the students of the 3 ENAC sections of the importance of this subject for their future profession and allow them to share their knowledges to “Design & Build together”. Making structural logic (EN) The ENAC week provides students the possibility to engage into an iterative process of testing and exploring structural and material limits and possibilities through the collaborative design and construction of structural elements in folded steel. The ENAC week will take place at EPFL Fribourg. Terra Epidermis (FR) This transversal project aims to test around a case study chosen, the specifics of ” reverse soil .” On a chose site, students will be invited to propose a single technical and architectural gesture, and synthesize their concept graphically. Constructive second hand (FR) Building second-hand means seizing the opportunity offered by the circular economy to improve design by reusing components from deconstruction, at minimum environmental cost. This week will introduce students to these concepts through hands-on experience. Chantier urbain : perception, gouvernance, usages (FR) This week ENAC aims to apprehend urban construction sites as key moments in the territorial fabric, in the articulation between urban planning and the effective implementation of a vision for the territory. Hidden rivers (EN) Hidden Rivers aims at fulfilling the need for an interdisciplinary understanding of the problematics surrounding urban streams, through ecological, hydrological, and spatial relationships found in riverscapes. The land of a thousand dances (EN) Let’s consider the act of maintenance as a potential for project making : let’s observe uses and traces that result from it in order to develop and carry out interventions that will allow us to reinforce, adapt, remove or increase the dynamics identified. This sixth round is taking place on campus. Rhonescape (EN) RHONEscape aims at realizing the necessary interdisciplinary educational background of the problematics affecting highly-corrected large rivers, by examining riverine ecological, hydrological and morphological spatial features with new methods of conceiving the space in and around rivers. Night in Lausanne (FR) This course will take an interdisciplinary approach to night in Lausanne. Through a nocturnal journey, we will take stock of the city as it exists at night time. During the week, we’ll collectively reflect on the future of nights in Lausanne, and present our initial ideas.
Floating offshore renewables (EN) The objective is to allow the students to work within a small group to develop a concept for offshore infrastructure for multifunctinal purposes. Adventure on Planet B (EN) This course will take students on a cosmic journey and then back to Earth to reflect on planetary challenges and their solutions. Stone masonry: Past, present, and future (EN) This course introduces students to the historical, structural, and environmental aspects of stone masonry. Emphasis is on understanding the role of stone masonry in architecture, basic structural behavior, and approaches to predict and assess the performance of stone masonry buildings.
Urban dialogues: sustainability and mediation (FR) This course, in partnership with HEP Vaud, deals with sustainable cities and the potential of cultural and scientific mediation. Environmental and social issues are addressed in relation to the Chamberonne River, with the aim of designing and running a mediation workshop for school classes. The city-tree (FR) This ENAC week is an invitation to question how cities are reinventing their relationship with living and natural entities, focusing in particular on the question of trees.
Forma urbis (FR) Some ancient cities are ruins, while others evolve, integrating their history into the urban fabric. These transformations create architectural palimpsests, making the city a living monument where past and present coexist and revealing captivating stories around every corner. Saxa Loquuntur: Culture of construction (EN) The course explores how material extraction, territorial change, trade, local traditions, and industrial production interconnect. By examining scales from territory to building detail, students learn how various professions interact to shape the built environment. Light as project driver (FR) This interdisciplinary course explores the structuring role of light in architectural design, in relation to the environment, materiality, comfort and energy performance. Students develop an exhibition pavilion project based on lighting intentions, using simulation tools, environmental analysis (LCA Living in Mars (FR) This course proposes to students of the 3 ENAC sections (AR,GC,SIE) to design in groups a space habitat on planet Mars. In an interdisciplinary way, they will approach problematics which they will have to analyze, interpret, integrate and represent. Urban planning in the South (FR) This course is an introduction to the technical and conceptual tools essential to urban planning and evidence-based decision-making. These tools are introduced in the context of cities in the Global South, in order to understand the spatial and social dynamics behind urbanisation. TRC LC3 Research Platform Fribourg (EN) The UE TRC-LC3 Research Platform Fribourg will develop prototypes of structural elements in textile reinforced concrete (TRC) and Limestone Calcined Clay Cement (LC3) concrete that allow the continuation of the TRC prototype pavilion started at EPFL in 2019. The UE will take place in EPFL Fribourg. Urban neighborhoods, infrastructures and sustainable development (FR) This ENAC Teaching Unit aims to present and implement new concepts of sustainable urban neighbourhood planning. SKIL Student Kreativity and Innovation Laboratory (EN) This course will allow students to engage in hands-on projects that can be defined by themselves, in a dedicated workshop environment. Students work together in small groups, with access to a wide range of tools, materials, software, etc. – assisted by highly specialized labmanagers. DRAG(UE): Performativity and the built environment (FR) The built environment will be explored through its performativity, thanks to perspectives offered by gender studies as well as queer and feminist theories. Discussions will enable a critical analysis of our environments in terms of their social frameworks and norms. Border Forensics (EN) The course will introduce students to different forms of violence related to the existence of state borders and social boundaries in Switzerland. Grounded into the work of the agency Border Forensics, it will focus on investigative methods to document and contest this violence. Navigating exhausted landscapes (EN) This course focuses on the challenges of transforming urban industrial sites in light of the living dynamics that run through them. It aims to experiment with an interdisciplinary approach their regeneration through the prism of a field investigation and a construction of a vision. Urban voids: mind the gap! (EN) This course focuses on transforming urban voids, like vacant lots or abandoned buildings, into valuable spaces addressing challenges such as climate change and social cohesion. It equips engineers and architects with interdisciplinary skills to creatively repurpose these areas for multiple benefits. International Geneva: An urban system in crisis (FR) This course explores the challenges facing Geneva’s international ecosystem in the context of declining multilateralism and reduced U.S. support. Using the concept of the urban system, students analyze how political shifts impact institutions, real estate, and territorial structures. Cognitive Landscapes (EN) This course explores how brainwave dynamics can inform urban design through cross-frequency coupling as a model for adaptability, variability, and integration in urban systems. Advanced physics I (mechanics) (FR) Introductory Physics I (advanced) covers the mechanics of point particles and solids. The purpose of the course is to develop the ability to describe physics phenomena by using mathematical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (IN) (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanics of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (English) (EN) Students will learn the principles of mechanics to enable a better understanding of physical phenomena, such as the kinematics and dyamics of point masses and solid bodies. Students will acquire the capacity to quantitatively analyze these effects with the appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanics of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (flipped classroom) (FR) The course establishes the basic notions that will allow the student to have a better understanding of the physical phenomena in mechanics. The students acquires the capability to quantitatively analyse the consequences of these effects with appropriate theoretical tools. General physics : mechanics (english flipped classroom) (EN) The principles of classical mechanics successfully describe many phenomena encountered in the world. In this course students will develop a conceptual understanding of the core concepts and an ability to apply the theoretical framework to describe and predict the motions of solid bodies. Advanced physics II (thermodynamics) (FR) This course presents thermodynamics as a means of describing a large number of important phenomena in physics, chemistry, and engineering, including transport effects. An introduction to statistical physics reinforces the notions acquired thanks to microscopic modeling. General physics : thermodynamics (FR) Give the students the basic notions that will allow their to have a better understanding of physical phenomena. Acquire the capability to analyse quantitatively the consequences of these effects with appropriate theoretical tools.
General physics : thermodynamics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : thermodynamics (FR) The goal of General Physics is to give the student the basic notions to have a better understanding of physical phenomena. This objective is attained when the student can quantitatively analyse the consequences of these effects with the appropriate theoretical tools. General physics : thermodynamics (English) (EN) Students acquire the abilities to analyze physical systems through the lens of thermodynamics and statistical physics. General physics : thermodynamics (FR) Provide the student with the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyze quantitatively the consequences of these effects with appropriate theoretical tools. General physics : fluids and electromagnetism (FR) The course covers two important chapters of physics: physics of fluids and electromagnetism. An introduction to the physics of waves is also given in order to study the solutions of the equations of hydrodynamics and Maxwell’s equations.
General physics : thermodynamics (for chemistry) (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : electromagnetism (FR) The course covers the concepts of electromagnetism, with the support of experiments. The covered topics include electrostatics, electric current and circuits, magnetostatics, electromagnetic induction, Maxwell’s equations, and electromagnetic waves. Physics lab (metrology) (FR) This course is a practical introduction to classical measurement techniques in a physics laboratory. It aims at familiarising the students with data acquisition, sensors, signal processing, vacuum and cryogenics. Building physics (FR) This course covers the main physical phenomenon occurring within buildings and will allow the student to acquire basic knowledge in the field of building science. Physics III (EN) The students understand and apply the physics of fluids, and the basics of electromagnetism and electronic schemes General physics : electromagnetism (FR) The topics covered by the course are concepts of electromagnetism and electromagnetic waves. General physics: electromagnetism (EN) The course covers the phenomena, concepts and principles of electricity and magnetism illustrating some of their applications. The unity of the electric, magnetic and optical phenomena and the variety of their applications are emphasized. General physics : electromagnetism (FR) Introduction to fluids mechanics, to electromagnetism, and to wave phenomena. General physics : electromagnetism (FR) This course introduces electrostatics and magnetostatics, then electromagnetic coupling in a time-varying regime and the resulting wave perturbation phenomena. Certain analogies are used to connect to prior knowledge from general physics and to introduce a few fundamental laws of fluid dynamic. General physics: electromagnetism (EN) Introduction to electromagnetism. Analytical mechanics (for SPH) (FR) This course offers an introduction to analytical mechanics. It introduces the Lagrangian and Hamiltonian formalisms, emphasizing their ability to simplify the description of constrained systems, symmetries, and conservation laws. Numerous examples of applications are presented.
Physics lab IIa (FR) This practical course provides a contact with basic physical phenomena and their applications, it should help students acquire knowledge about the methods of observation and measurement as well as data analysis and presentation. Physics IV (FR) Wave physics and introduction to special relativity. Quantum mechanics I (EN) The objective of this course is to familiarize the student with the concepts, methods and consequences of quantum physics. General physics : quanta (FR) The course treats electromagnetic waves, including both geometrical optics and physical optics, and
gives an introduction to quantum physics. Physique numérique (pour SPH) (FR) Formulate and solve physics problems using elementary numerical methods. Understand the advantages and limitations of these methods (stability, convergence). Illustrate various physics subjects seen in other courses. Physics lab IIb (FR) This practical course provides a contact with basic physical phenomena and their applications, it should help students acquire knowledge about the methods of observation and measurement as well as data analysis and presentation. Mathematical methods (for SPH) (FR) This course complements the analysis and linear algebra courses by providing further mathematical methods and techniques required for 3rd year physics courses, in particular electrodynamics and quantum mechanics. Data sciences (EN) This course introduces tools for data analysis in physics: numerical linear algebra, regression, dimensionality reduction, probability, statistics, uncertainty quantification, random walks, Monte Carlo methods and phase transitions, with Python exercises. Introduction to construction technics (FR) To get some basic notions as it concerns technical design, machining and practical electronics for physics laboratory activities. Biophysics : physics of the cell (EN) In this course we will study the cell (minimum unit of life) and its components. We will study several key cellular features : membranes, genomes, channels and receptors. We will apply the laws of physics to develop models to make quantitative and predictive statements. Physics of materials (EN) This course discusses materials physics associated with the mechanical and structural properties of solids, primarily focusing on the physics of dislocation defect dynamics and linking diffusion kinetics to the fundamental physics of phase transformations. Particles and fundamental interactions (EN) General overview of current knowledge in elementary particle physics: from relativistic kinematics to the phenomenological interpretation of high-energy collisions. Quantum physics II (EN) The aim of this course is to familiarize the student with the concepts, methods and consequences of quantum physics. Physics lab IIIa (FR) The students observe a number of physical phenomena and their technological applications. The course aims at acquiring knowledge about the methods of observation, measurement and experimental data analysis. The students practice scientific communication. Physics lab IIIb (FR) The students observe a number of physical phenomena and their technological applications. The course aims at acquiring knowledge about the methods of observation, measurement and experimental data analysis. The students practice scientific communication. Classical electrodynamics (EN) The goal of this course is the study of the physical and conceptual consequences of Maxwell equations. Introduction to plasma physics (FR) Introduction to plasma physics aimed at giving an overall view of the unique properties specific to a plasma. The models commonly used to describe its behavior are presented and illustrated with examples. Application to thermonuclear fusion and some astrophysical phenomena. Atomic, molecular physics and optics (EN) This course presents the fundamental physics of atoms and molecules, their structure and their interaction with electromagnetic fields. Solid state physics (FR) This lecture gives an introduction to Solid State Physics. We will treat crystal structure, lattice vibrations, electronic properties, electric and heat conductance, as well as magnetic properties. The level is the one of the book by Ashcroft & Mermin. Statistical physics (FR) This course introduces the fundamental principles of statistical physics, one of the most fundamental theories of modern physics, focusing on the description of collective phenomena from microscopic laws. Advanced computational physics (EN) The course covers dense/sparse linear algebra, variational methods in quantum mechanics, and Monte Carlo techniques. Students implement algorithms for complex physical problems. Combines theory with coding exercises. Prepares for research in computational physics and related fields. Fluid mechanics and soft matter (EN) This course introduces the core principles of fluid mechanics and connects them to the physics of soft matter systems such as colloids, polymers, emulsions, and biological materials. Emphasis is placed on understanding behavior bridging the microscopic and continuum perspectives. Nuclear physics (FR) Genral introduction to the physics of atomic nuclei: from bound states to scattering. Systèmes complexes (FR) This courses show how known (entropy, phase transitions) and new (glasses, percolation, avalanche-type response) physical concepts can be used in various fields (including Computer science, neuroscience, social sciences). Quantum mechanics for non-physicists (EN) This course introduces quantum mechanics to students who are interested in pursuing quantum science and technology but have not gone through the standard bachelor physics curriculum. The students will develop quantum intuition by working out numerical examples based on qubits and oscillator systems. Introduction to astrophysics: the basics (FR) General presentation of the methods and knowledge of modern astrophysics to illustrate our perception and understanding of the universe. This course constitutes the basis for more advanced courses, but also provides general ‘astrophysics’ culture for any student. Selected topics in nuclear and particle physics (EN) This course presents the physical principles and the recent research developments on three topics of particle and nuclear physics: the physics of neutrinos, dark matter, and plasmas of quarks and gluons. An emphasis is given on experimental aspects in these three research fields. Astrophysics IV : stellar and galactic dynamics (EN) The aim of this course is to acquire the basic knowledge on specific dynamical phenomena related to the origin, equilibrium, and evolution of star
clusters, galaxies, and galaxy clusters. Astrophysics V : observational cosmology (EN) Cosmology is the study of the structure and evolution of the universe as a whole. This course describes the principal themes of cosmology, as seen
from the point of view of observations. Computer simulation of physical systems I (EN) The two main topics covered by this course are classical molecular dynamics and the Monte Carlo method. Frontiers in nanosciences (EN) The course covers relevant experimental and theoretical concepts in nanoscale science, from fundamental aspects like quantum tunneling and quantum size effects, to hot topics like quantum transport and nanoscale magnetism. Particle physics I (EN) Presentation of particle properties, their symmetries and interactions.
Introduction to quantum electrodynamics and to the Feynman rules. Particle physics II (EN) This course aims to make students familiar and comfortable with the main concepts of particle physics, providing a clear connection between the theory and relevant experimental results, including the most recent ones from modern particle physics experiments. Solid state physics III (EN) The aim of this course is to provide an introduction to the theory of a few remarkable phenomena of modern condensed matter physics ranging from the quantum Hall effects to superconductivity. Solid state physics IV (EN) Solid State Physics IV provides a materials and experimental technique oriented introduction to the electronic and magnetic
properties of strongly correlated electron systems. Established knowledge is complemented by current research trends,
aiming to prepare the students for independent research. Plasma I (EN) Following an introduction of the main plasma properties, the fundamental concepts of the fluid and kinetic theory of plasmas are introduced. Applications concerning laboratory, space, and astrophysical plasmas are discussed throughout the course. Plasma II (EN) This course completes the knowledge in plasma physics that students have acquired in the previous two courses, with a discussion of different applications, in the fields of magnetic confinement and controlled fusion, astrophysical and space plasmas, and societal and industrial applications. Quantum physics III (EN) To introduce several advanced topics in quantum physics, including
semiclassical approximation, path integral, scattering theory, and
relativistic quantum mechanics Quantum physics IV (EN) Introduction to the path integral formulation of quantum mechanics. Gauge invariance. Derivation of the perturbation expansion of Green’s functions in terms of Feynman diagrams. Several applications will be presented, including non-perturbative effects, such as tunneling and instanton Relativity and cosmology I (EN) Introduce the students to general relativity and its classical tests. Relativity and cosmology II (EN) This course is the basic introduction to modern cosmology. It introduces students to the main concepts and formalism of cosmology, the observational status of Hot Big Bang theory
and discusses major physical processes in the early Universe. Quantum field theory I (EN) The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions. Quantum field theory II (EN) The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions such as Quantum Electrodynamics. Semiconductor physics and light-matter interaction (EN) Lectures on the fundamental aspects of semiconductor physics and the main properties of the p-n junction that is at the heart of devices like LEDs & laser diodes. The last part deals with light-matter interaction phenomena in bulk semiconductors such as absorption, spontaneous & stimulated emission. Physics of photonic semiconductor devices (EN) Series of lectures covering the physics of quantum heterostructures, dielectric microcavities and photonic crystal cavities
as well as the properties of the main light emitting devices that are light-emitting diodes (LEDs) and laser diodes (LDs). Stochastic methods in classical & quantum physics (EN) Noise and fluctuations play a crucial role in science and technology. This course treats stochastic methods, applying them to both classical problems and quantum systems. It emphasizes the frameworks of fluctuation-dissipation theorems, stochastic differential equations, and Markov processes. Introduction to biomedical imaging (EN) This course introduces the fundamentals of biomedical imaging and provides an overview of the major imaging modalities used in medicine and biological research. It focuses on understanding the physical principles, the mechanisms of image formation, and their biomedical applications. Particle detection (EN) The course will cover the physics of particle detectors. It will introduce the experimental techniques used in nuclear and particle physics. The lecture includes the interaction of particles with matter, scintillators, gas detectors, silicon detectors, detectors for particle ID and photo-detectors. Statistical physics of biomacromolecules (EN) Biological macromolecules such as DNA, RNA, proteins and cytoskeletal filaments are polymers. As such, they share a set of properties that are common to any polymer, which are the focus of this course. Details about the protein folding problem will be covered in the last part. Modeling and design of experiments (EN) In the academic or industrial world, to optimize a system, it is necessary to establish strategies for the experimental approach. The DOE allows you to choose the best set of measurement points to minimize the variance of the results. The concepts learned are applicable in all areas. Physics of nuclear reactors (EN) In this course, one acquires an understanding of the basic neutronics interactions occurring in a nuclear fission reactor as well as the conditions for establishing and controlling a nuclear chain reaction. Nuclear fusion and plasma physics (EN) The goal of the course is to provide the physics and technology basis for controlled fusion research, from the main elements of plasma physics to the reactor concepts. Introduction to particle accelerators (EN) The course presents basic physics ideas underlying the workings of modern accelerators. We will examine key features and limitations of these machines as used in accelerator driven sciences like high energy physics, materials and life sciences. Radiation biology, protection and applications (EN) This is an introductory course in radiation physics that aims at providing students with a foundation in radiation protection and with information about the main applications of radioactive sources/substances in the industry. The course includes presentations, lecture notes and problem sets. Radiation and reactor experiments (EN) The reactor experiments course aims to introduce the students to radiation detection techniques and nuclear reactor experiments. The core of the course is the unique opportunity to conduct reactor experiments with the EPFL reactor CROCUS. Radiation detection (EN) The course presents the detection of ionizing radiation in the keV and MeV energy ranges. Physical processes of radiation/matter interaction are introduced. All steps of detection are covered, as well as detectors, instrumentations and measurements methods commonly used in the nuclear field. Quantum electrodynamics and quantum optics (EN) This course develops the quantum theory of electromagnetic radiation from the principles of quantum electrodynamics. It will cover historic developments (coherent states, squeezed states, quantum theory of spontaneous emission) and moreover modern developments, e.g. quantum noise and circuit QED Quantum optics and quantum information (EN) This lecture describes advanced concepts and applications of quantum optics. It emphasizes the connection with ongoing research, and with the fast growing field of quantum technologies. The topics cover some aspects of quantum information processing, quantum sensing and quantum simulation. Introduction to medical radiation physics (EN) This course covers the physical principles underlying medical diagnostic imaging (radiography, fluoroscopy, CT, SPECT, PET, MRI, US), radiation therapy and radiopharmacy. The focus is not only on risk and dose to the patient and staff, but also on an objective description of the image quality. Nonlinear dynamics, chaos and complex systems (EN) The course provides students with the tools to approach the study of nonlinear systems and chaotic dynamics. Emphasis is given to concrete examples and numerical applications are carried out during the exercise sessions. Quantum transport in mesoscopic systems (EN) This course aims to introduce the transport behaviors of micron-size systems, emphasizing learning about recent path-breaking experiments on 2D systems such as Graphene and other vad der Waala materials. The course will also introduce the concept of topological protection and strong correlations. Computational quantum physics (EN) The numerical simulation of quantum systems plays a central role in modern physics. This course gives an introduction to key simulation approaches, through lectures and practical programming exercises. Simulation methods based both on classical and quantum computers will be presented. Solid state systems for quantum information (EN) This course will give an overview of the experimental state of the art of quantum technology for Quantum Information Processing (QIP). We will explore some of the most promising approaches for realizing quantum hardware and critically assess each approach’s strengths and weaknesses. Astrophysics III : galaxy formation and evolution (EN) Galaxy formation & evolution is about studying how galaxies in our Universe come into existence, how they evolve and what shapes their properties. This course describes the observational facts of galaxies and the various processes of galaxy evolution as seen from theoretical/numerical models. Topics in biophysics and physical biology (EN) This course provides exposure to research in biophysics and physical biology, with emphasis on the nature of scientific breakthroughs, and using critical reading of scientific literature. Each week, we will discuss the research of one recipient of the Max Delbruck Prize in Biological Physics. Machine learning for physicists (EN) Machine learning and data analysis are central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised. Physics of life (EN) Life has emerged on our planet from physical principles such as molecular self-organization, thermodynamics, stochastics and iterative refinement. This course will introduce the physical methods to study life and will discuss the quantitative and physical concepts that make life possible. Mathematical aspects of quantum physics (EN) This lecture is a more advanced course in fonctionnel Analysis, presenting techniques with spécial interests for quantum Mechanics Nonlinear optics for quantum technologies (EN) This course provides the fundamental knowledge and theoretical tools needed to deal with nonlinear optical interactions, covering both classical and quantum theory of nonlinear optics. Particle physics: the flavour frontiers (EN) This course will present experimental aspects of flavour physics primarily in the quark sector but also in the lepton sector and their role in the development of the Standard Model of particle physics. Astrophysics II : interactions radiation-matter (EN) This course provides the essential concepts for understanding how stars form, evolve, radiate, and synthesize their chemical elements. These are fundamentals to tackle the variety of galaxy properties, and how their interstellar medium is gradually enriched with metals. MRI Practicals on CIBM preclinical imaging systems (EN) The goal of this course is to teach students how to perform basic MRI and MRS experiments in-vivo and ex-vivo directly on preclinical horizontal ultra-high field MRI systems. Physics of low dimensional materials (EN) This course covers the concepts and physics of matter at reduced dimensions. The fabrication and characterization as well as their potential application is discussed. The critical review and presentation of scientific publications is trained. Statistical physics : theory of phase transitions (EN) Phase transitions are ubiquitous, from the first instants of the universe to living matter. Despite the vast difference in microscopic details, some features of phase transitions are universal and can be explained by the careful use of statistical mechanics, leading up to the renormalisation group. Advanced superconducting magnet technologies (EN) The course will focus on the technologies related to the practical use of superconductors, from the manufacturing to their exploitation. The course also provides some examples of the use of superconductivity for relevant applications and the main technological challenges related to each of them. Fundamentals of crystallography and diffraction (EN) Crystallography and diffraction are fundamental to much of condensed matter and materials physics research. By developing the relevant formalisms, this course builds a solid basis for utilizing crystallography and diffraction, extending to crystalline phenomena that impact physical properties. Physics of magnetic resonance imaging (EN) The goal of this course is to develop a fundamental understanding of the physical principles underlying signal acquisition, image formation and reconstruction in magnetic resonance imaging (MRI) and to demonstrate how these principles enable modern biomedical imaging techniques and applications. Magnetism in materials (EN) The lectures will provide an introduction to magnetism in materials, covering fundamentals of spin and orbital degrees of freedom, interactions between moments and some typical ordering patterns. Selected experimental techniques and their application in current research will be presented. Nonlinear Optics (EN) Basic principles of optics Quantum field theory III (EN) The course builds on the material covered in Quantum Field Theory I and Quantum Field Theory II. It focusses on scalar field theories only. The course develops a deeper understanding of quantum field theory, while introducing advanced concepts and methods and applies them to concrete problems. Modern approaches to quantum gravity (EN) This course is an introduction to holography, the modern approach to quantum gravity. The 2026-2027 edition will consist of 3 parts taught by 3 different external teachers. The standard model (EN) The goal of this course is to explain the conceptual and mathematical bases of the Standard Model of fundamental interactions and to illustrate in detail its phenomenological consequences. Spintronics : basics and applications (EN) Starting from fundamentals of magnetism, the course develops the concepts required to understand and describe reading and writing processes of a magnetic bit. Similarities and differences between classical and quantum systems are addressed.
Statistical physics of computation (EN) The students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning. Quantum computing (EN) This course introduces quantum computing, starting with quantum mechanics and information theory. It covers the quantum circuit model, universal gates, foundational quantum algorithms, noise, quantum error correction, NISQ quantum algorithms, and an overview of recent progress. Quantum information theory (EN) After recapping the basics of quantum theory from an information
theoretic perspective, we will cover more advanced topics in
quantum information theory. This includes introducing measures of quantum information, and developing a more advanced understanding quantum states, channels and measurements. Frederic Joliot/Otto Hahn Summer School on nuclear reactors Physics, fuels and systems (EN) The School’s aim is to address the challenges of reactor design and optimal fuel cycles, and to broaden the understanding of theory and experiments.
The programme of each School session is defined by the International FJOH Scientific Board. Modern photovoltaic technologies (EN) A link between the fundamental physics, device operation and technological development of various solar cell technologies. Learning about all modern photovoltaic technlogies incl. industrially relevant wafer based silicon, thin film chalcogenide, III-V, multijunction, organic and hybrid solar cells. Nonlinear Spectroscopy (EN) To provide an introduction into the field of nonlinear spectroscopy, and focus in particular on linear and nonlinear light scattering Many-Body Approaches to Quantum Fluids (EN) Starting from a microscopic description, the course introduces to the physics of quantum fluids focusing on basic concepts like Bose-Einstein condensation, superfluidity, and Fermi liquid theory. Fusion and industrial plasma technologies (EN) The course provides an overview of the technologies that are essential for fusion developments and for industrial plasma
applications, highlighting the synergies between the two fields. The aim is to provide a combined theoretical and
experimental background to the various topics. General aspects of the electronic structure of crystals (EN) The course is aimed at giving a general understanding and building a feeling of what electronic states inside a crystal are. Electron Matter Interactions in Transmission Electron Microscopy (EN) This course will present the fundamentals of electronâmatter interactions, as occuring in the energy range available in modern transmission electron microscopes, namely 60-300 keV electrons. Diffraction and high-resolution image formation as well as electron energy-loss spectrometry will be covere Field Theory in Condensed Matter Physics (EN) Topics covered: Superfluidity in weakly interacting Bose gas, the random phase approximation to the Coulomb interaction in the Jellium model, superconductivity within the random phase approximation, the renormalization group analysis of non-linear-sigma models, the Kosterlitz-Thouless transition. Neutron and X-ray Scattering of Quantum Materials (EN) Neutron and X-ray scattering are some of the most powerful and versatile experimental methods to study the structure and dynamics of materials on the atomic scale. This course covers basic theory, instrumentation and scientific applications of these experimental methods. Statistical physics for optimization & learning (EN) This course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction to inference to machine learning, neural networks and statitics. Nonlinear Optics in Waveguides (EN) This doctoral level course will present an overview of nonlinear optical effects in waveguides/optical fibers.It will be focused on third order nonlinear effects which occurs in centrosymmetric media. Technical drawing for experimentalists (EN) This course covers the basics of technical drawings using CAD software, and transmits good practices to have complex, custom mechanical parts manufactured. Mechanical fabrication for physicists (EN) This course covers the basics of manufacturing using lathe, drilling and milling machines. This includes the safe operation of these machine, that students can then later use on their own at the IPHYS facilities. Integrated Nonlinear Photonics (EN) Integrated Nonlinear Photonics is an intensive doctoral-level course that trains participants in the theory, simulation, and design of optical devices based on second- and third-order nonlinear effects. Physical Optics and Advanced Imaging (EN) This course gives an introduction to principles of Fourier and physical optics, numerical propagation, and sampling. On the second half the course covers topics of advanced imaging, including 3 external lecturers who are experts in application or development of advanced imaging techniques. Advanced biomedical imaging methods and instrumentation (EN) The main goal of this course is to give the student a solid introduction into approaches, methods, and instrumentation used in biomedical research. A major focus is on Magnetic Resonance Imaging (MRI) and related methods, but other imaging modalities will be increasingly covered. Introduction to Frustrated Magnetism (EN) To provide an introduction to all aspects of the rapidly evolving field of frustrated magnetism:
1) New paradigms: spin liquids, spin ice, topological order, …
2) Basic models and methods
3) Experimental realizations
Non-equilibrium statistical mechanics simulations (EN) This course will introduce important results in non-equilibrium statistical mechanics and algorithms to compute properties out-of equilibrium. Coding exercises will deepen understanding of the formal results and provide insight in the physics of open systems. Magnetic confinement (EN) To provide an overview of the fundamentals of magnetic confinement (MC) of plasmas for fusion.The different MC configurations are presented, with a description of their operating regimes.The basic elements of particle & energy transport, of plasma-wall interaction & of burning plasma are introduced. Plasma Diagnostics in Basic Plasma Physics Devices and Tokamaks: from Principles to Practice (EN) The programme will allow students to learn plasma diagnostics and data processing methods of modern fusion experiments and to bridge the gap between diagnostics theory and experimental practice. Plasma instabilities (EN) To complete the theoretical knowledge acquired before the graduate studies. Parallel programming (EN) Learn to debug, benchmark, optimize, and parallelize scientific applications on HPC clusters using OpenMP and MPI. Through profiling and measurement, you’ll identify bottlenecks, evaluate optimizations, and understand performance using a finite-difference Poisson solver as a case study. Introduction to Metalorganic Vapour Phase Epitaxy of III-V semiconductors (EN) This course offers an insight into the science of epitaxial growth, a chapter of surface science requiring basic understanding of thermodynamics, crystallography, electronic and optical properties of semiconductors. Control and Operation of Tokamaks (EN) This course treats the main issues in operation and control of a tokamak. Control-oriented models are derived and controllers are designed using techniques from modern control theory. Operational limits are discussed as well as state-of-the-art research questions for future reactors. Advanced concepts in particle accelerators (EN) Accelerator physics covers a wide range of very exciting topics. This course presents basic physics ideas and the technologies underlying the workings of modern accelerators. An overview of the new ideas and challenges of the possible paths towards the next generation of accelerators will be given. Lecture series on scientific machine learning (EN) This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method. Axiomatic Quantum Field Theory (EN) Presentation of Wightman’s axiomatic framework to QFT as well as to the necessary mathematical objects to their understanding (Hilbert analysis, distributions, group representations,…).
Proofs of the main mathematical consequences (CPT, spin-statistics, Reeh-Schlieder, Haag no-go). Attosecond radiation sources (EN) This course describes the principles of attosecond photons and electron pulses generation Atomic and radiative processes in plasmas (EN) The course covers atomic structure, collisional-radiative (CR) processes, and spectroscopic techniques. Students learn to critically apply CR models, evaluate spectroscopic tools, and interpret experimental data obtained in different plasmas. CIBM translational MR neuroimaging & spectroscopy (EN) Magnetic resonance imaging (MRI) and spectroscopy (MRS) will be addressed in detail, along with experimental design, data gathering and processing on MRS, structural and functional MRI in humans and rodents, and hands-on experience with MRI scanners. Introduction to quantum science and technology (EN) A broad view of the diverse aspects of the field is provided: quantum physics, communication, quantum computation, simulation of physical systems, physics of qubit platforms, hardware technologies. Students will grasp the field as a whole and better orient themselves on specialized topics. Microwave engineering in physics (EN) This course aims at teaching basic notions and tricks of microwave engineering to students with only an elementary knowledge of applied electromagnetism. Emphasis is made on topics that often arise in modern physics experiments, including quantum science and technology research. Aspects of quantum science and sustainability (EN) We explore the intersection of quantum technologies and sustainability. Topics: 1)discussions of fundamental aspects of thermodynamics of computation; 2)analysis and benchmarks of energy consumption in current and near term real quantum devices; 3)projects on use cases through personal student work. Fundamentals of quantum sensing and metrology (EN) This course introduces the physical principles and technologies behind quantum measurement systems. Emphasis is placed on both theoretical foundations and real-world implementations. Modern quantum algorithms (EN) Modern Quantum Algorithms is a fast-paced, proof-based introduction to the algorithmic toolkit of quantum computing, starting from quantum circuits and universality, and building up core primitives before proceeding to a unifying Fourier-analytic view and more modern perspectives. Systems approaches for urban transitions (EN) The objective of this course is to rethink urban transitions by taking a systemic perspective. It provides the foundation for analyzing and designing urban transitions, integrating technical infrastructure, ecological, and social aspects. Urban governance (EN) This course equips students with the tools for influence within institutional systems, drawing on the fields of sociology, political science, and social psychology. It explores how to better convince decision-makers, shift behaviors, and design more effective and impactful public policies. Social justice and transition in the urban context (EN) This course explores the connections between spatial justice, social equity, and the socio-ecological transition. Through theoretical insights and empirical case studies, it provides tools to critically assess urban transformations and imagine fairer and more hospitable cities. Computational methods in urban studies (EN) CMUS will focus on acquiring insights into, engaging with, and modeling the processes of spatial transformation in contemporary societies. It will integrate statistical techniques and critical urban theory to promote socially and environmentally fair policies against the climate crisis. Railway systems and their transition (EN) This course provides foundational knowledge of transport systems, with a particular emphasis on rail systems, highlighting their strengths and weaknesses, amongst others in the context of climate change. Science and technology in urban transformation (EN) Cities are complex systems shaped by natural, technological, and social factors with historical roots. Through global case studies, this course will explore how science and technology transform cities into objects of knowledge and intervention. Shaping future railway systems (EN) This course focuses on the strategies and decisions involved in planning future rail systems in an era of decarbonized mobility. AI for urban history (EN) This course explores how AI and LLMs can be used to analyze historical urban data. Students study city evolution (1700-now) through hands-on projects, producing a web interface and a visual booklet based on sources like maps, directories, and cadastral records. Urban digital twins (EN) This course explores urban digital twins through theory and hands-on modeling. Students build dynamic models integrating real-time, historical, and predictive data. A project on the EPFL campus using real data serves as the case study. Core project: Urban Systems studio (EN) Interdisciplinary urban design studio addressing site and territory through multiple urban systems. Combines architectural, infrastructural, and social approaches to develop critical, experimental, and context-responsive urban interventions. Studio BA1 (FR) The course aims at acquiring the essential tools to design and build an architectural project and an understanding of architecture as craft, thought and attitude, using the conception of space as a way to understand the relationship between living beings within the environment. Studio BA2 (FR) The course aims at acquiring the essential tools to design and build an architectural project and an understanding of architecture as craft, thought and attitude, using the conception of space as a way to understand the relationship between living beings within the environment. Architectural theory, initiation (FR) This course offers an introduction to architectural theory through the analysis of a set of fundamental concepts that have shaped and guided the structuring and evolution of the discipline. Art and figuration (FR) Training in analogue and digital methods of architectural representation through the study of a small vernacular building. Building envelope and interior fit-out (FR) Introduction to the design of construction elements, the criteria for selecting suitable building materials, and the methods and techniques for assembling these elements, with the aim of learning how to create coherent, high-performing, and sustainable buildings. Digital models (FR) The objective of the digital modeling course is to learn and manipulate the basic functions of the Rhinoceros 3D assisted design software through the development of a simple model. Anthropology of inhabited spaces (FR) Design begins with observation. This course introduces architecture students to anthropological tools for observing, describing and interpreting how individuals and social groups inhabit, transform and make sense of the spaces they live in. Architectural Tomography (FR) This course situates the act of drawing as an act of spatial, constructive and contextual investigation. It introduces 2-D sectional drawing as a sociotechnical tool in architecture with a fundamental role in measuring, understanding and imagining complex and situated spatial conditions. Public law for architects (FR) This course provides future EPFL architects with the basic knowledge and skills in public law required to contribute to the design and execution of architectural projects, in Switzerland or abroad – by analogy. Studio BA3 (Blanc A.) (FR)
The course deals with understanding urban phenomena in the field of rural construction. Studio BA3 (Fröhlich M. & A.) (EN) The Studio explores types and typologies to understand how buildings respond to social, environmental, and technological conditions. The first semester focuses on historical drying and storage buildings; the second on transforming tobacco-drying houses in Fribourg into collective housing. Studio BA3 (Truwant et Rodet) (FR) Inclusive Fictions: Students will investigate how accessibility can redefine domestic space through the transformation of an existing building in Renens. they will explore accessibility not simply as a technical requirement, but as a spatial, social and political condition. Studio BA3 (Peris et Toral) (EN) This studio explores collective housing through Kahn’s servant and served spaces. Students analyse references in a shared Typology Atlas and apply an assigned strategy to a row-house cluster, connecting inhabitation with spatial, structural and construction systems Studio BA3 (Rey) (FR) Through an approach that encompasses various scales of intervention – from urban design to construction detail – the studio aims to explore architectural strategies for regenerating urban areas with a focus on urban transition and climate adaptation. Studio BA3 (Taillieu) (EN) A house is the simple topic of this studio. A matter of simple complexity. Learning about a house is learning about architecture. The first part of the year is about learning about a house. The second part is about making your house. Studio BA4 (Truwant et Rodet) (FR) Inclusive Fictions: Students will investigate how accessibility can redefine domestic space through the transformation of an existing building in Renens. they will explore accessibility not simply as a technical requirement, but as a spatial, social and political condition. Studio BA3 (Peris et Toral) (EN) This studio explores the transformation of existing structures into cluster housing at STAVECO, Bologna. Students develop strategies for collective inhabitation through adaptive reuse, connecting servant and served spaces with spatial, structural, material and environmental systems. Studio BA4 (Rey) (FR) Through an approach that encompasses various scales of intervention – from urban design to construction detail – the studio aims to explore architectural strategies for regenerating urban areas with a focus on urban transition and climate adaptation. Studio BA4 (Taillieu) (EN) A house is the simple topic of this studio. A matter of simple complexity. Learning about a house is learning about architecture. Theory and techniques of architectural figuration (FR) The course imparts the theoretical foundations of the history of figurative art and introduces the operative techniques of representation. The main aim is to integrate the use of digital tools into the intellectual dimension of the discipline. Advanced CAO and Integrated Modeling DIM (FR) 1st year: basics of 2D (3D) computer representation.
From one to several software: ability to choose the appropriate 2D and 3D tools.
Linking CAD and DIM tools: critical view and ability to choose the methods necessary for the desired result. History of Architecture V/VI (EN)
This is a survey course on the history of architecture of the twentieth century.
Building services and addenda (FR) An introduction to the technical systems that ensure comfort, energy efficiency and safety in a building (heating, ventilation, plumbing and electricity).
Consolidation and further study of the concepts of structural design, construction and building physics. Urban and territorial analysis (FR) The course aims to provide students with the tools necessary to analyze and understand the contemporary city and territory. Collective housing: buildings, rooms, components (FR) This course provides the tools for reading and understanding the architecture of housing.
Its urban, typological, spatial, functional, sociological, climatic, cultural, and formal dimensions are explored through three scales: the building, the room, and the element. Studio BA5 (Delhay) (FR) The house as a city – The continuous households.
Study trip – Zurich: 4th to 6th October 2025 Studio BA5 (Malterre-Barthes) (EN) This drawing based research studio examines construction as nested systems of material extraction, exploitation, cultural production, and value generation. It seeks to unpack, reveal, and communicate the complexity of actors and forces shaping contemporary space production.
Studio BA5 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio BA5 (Cierto) (EN) The studio focuses on the domestic world. Through a sequence of architectural fragments, students progressively construct a dwelling from the inside out, allowing each exercise to reshape the next. Studio BA5 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city through the hypothesis of critical gardens as spaces for action. Two territories will be investigated over the course of the year: Bordeaux Métropole and Greater Geneva. Studio BA5 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio BA5 (Loeliger et Strub) (EN) Starting from the question “How do we want to live?”, we explore architecture as a means to imagine new forms of living together. Across two consecutive semesters, students develop urban housing concepts from contrasting perspectives, integrating social, ecological, and constructive questions. Studio BA5 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio BA5 (Parabase) (EN) In EXFORMA, conceptual and constructive thinking is developed through 3D modeling, AI-generated imagery, and construction detailing. The atelier explores new perspectives on building construction through the reuse of components from outside the architectural field, focusing on innovative techniques. Studio BA5 (MacIver-Ek et Chevroulet) (FR) Renewable energy’s real challenge is storage, not scarcity. Architecture, massive by nature, is the ideal battery: energy shapes structure, form and space. Reviving the archetype of the mill, storage transcends infrastructure and becomes a piece of civic architecture, uniting culture and energy. Studio BA5 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio BA5 (Lapierre) (FR) From Shaker communities in the USA to the question of housing in Basel, the semester examines dwelling as both intimate and collective, exploring the transformation of workspaces into new places of sharing Studio BA5 (Braghieri) (FR) The studio’s objective is to investigate the topic of construction and recolonization within the Alpine region. The program seeks to establish a commun mixing habitat and handcraft. Studio BA6 (Delhay) (FR) The city as a house – The little associative house.
Study trip – Paris, 7-9 mars Studio BA6 (Malterre-Barthes) (EN) How is architecture made? ‘Revolutionize Construction’ unpacks the political economy of construction, examining who commissions, finances, and builds, and interrogating architects’ roles. It explores how these systems might be revolutionized to enable the emergence of post-extractive architecture. Studio BA6 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio BA6 (Cierto) (EN) The studio expands its focuses on the domestic world to the scale of the city. Beginning with an existing urban structure, students design collective housing by moving from public space to the dwelling, before returning once again to the city. Studio BA6 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and greater Geneva.
Studio BA6 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio BA6 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio BA6 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio BA6 (Lapierre) (FR) This semester explores the Berlin/Rome/Lausanne triangulation. Ungers’ archipelago, the Nolli map, and Foucault’s heterotopias serve as theoretical benchmarks for designing public facilities in Lausanne as “constructed utopias.” Introduction to computational architecture (EN) This course introduces the students to text programming practice in 3D modeling (Rhinoceros3D). The main objective of the course is to develop a computational mindset to maximize the use of efficient digital tools in architectural design. Constructing the view: built images (EN) What is meant by the term “image” as pictorial representation? How do we read, process and interpret images – and what premises can be derived from this for the conception and production of meaningful images? Urban anthropology: methods and fieldwork (FR) This course explores the conceptual approaches of urban anthropology, its methods and fieldwork practices. Drawing on a historical and comparative perspective, it seeks to build critical and practical knowledge about how people inhabit urban space, here and elsewhere. Designing built heritage: Tools and methods (FR) 70% of the work of architectural offices is conducted in the existing. The course aims to provide students with the basic theoretical and practical tools to approach the project in the existing, on the current built heritage but also the monumental heritage. Transformation and energy retrofit (FR) This course is an initiation to the specificities and the methodology of a renovation project. Following a diagnosis of an existing building, the students develop renovation strategies and verify their technical and architectural pertinence regarding the building. Under construction (EN) This theory course considers the building as a material thing, focusing on the process and matter of architecture to examine how buildings come into being and stay (or don’t) in place: through discourse, site, materials, and work. History of park and garden design (EN) The course introduces the most important periods of European and international garden history and design up to the present day and shows the importance of public parks and green spaces for modern urban development. Students are given the opportunity to analyze and interpret their own example. Theory of urbanism (FR) The course examines 19th-21st c. urban models, by exploring the tension among theoretical discourses, projects, and the forms of urbanisation that have been realised. The dialectic between the concepts of the finite city and the unlimited city-territory will form the central theme. Architecture in the age of acceleration (FR) This course examines twelve theoretical positions for an architecture in the age of acceleration. By situating these positions in a recent history of architecture and placing them in a current context, this course aims to grasp their relevance for contemporary practice. Studio MA1 (Delhay) (FR) The house as a city – The continuous households.
Study trip – Zurich: 4th to 6th october 2025 Studio MA1 (Malterre-Barthes) (EN) This drawing based research studio examines construction as nested systems of material extraction, exploitation, cultural production, and value generation. It seeks to unpack, reveal, and communicate the complexity of actors and forces shaping contemporary space production.
Studio MA1 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio MA1 (Cierto) (EN) The studio focuses on the domestic world. Through a sequence of architectural fragments, students progressively construct a dwelling from the inside out, allowing each exercise to reshape the next. Studio MA1 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and Grand Genève.
Studio MA1 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio MA1 (Loeliger et Strub) (EN) Starting from the question “How do we want to live?”, we explore architecture as a means to imagine new forms of living together. Across two consecutive semesters, students develop urban housing concepts from contrasting perspectives, integrating social, ecological, and constructive questions. Studio MA1 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio MA1 (Parabase) (EN) In EXFORMA, conceptual and constructive thinking is developed through 3D modeling, AI-generated imagery, and construction detailing. The atelier explores new perspectives on building construction through the reuse of components from outside the architectural field, focusing on innovative techniques. Studio MA1 (MacIver-Ek et Chevroulet) (FR) Renewable energy’s real challenge is storage, not scarcity. Architecture, massive by nature, is the ideal battery: energy shapes structure, form and space. Reviving the archetype of the mill, storage transcends infrastructure and becomes a piece of civic architecture, uniting culture and energy. Studio MA1 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio MA1 (Lapierre) (FR) From Shaker communities in the USA to the question of housing in Basel, the semester examines dwelling as both intimate and collective, exploring the transformation of workspaces into new places of sharing Studio MA1 (Braghieri) (FR) The studio’s objective is to investigate the topic of construction and recolonization within the Alpine region. The program seeks to establish a commun mixing habitat and handcraft. Studio MA2 (Delhay) (FR) The city as a house – The little associative house.
Study trip – Paris, 7-9 mars Studio MA2 (Malterre-Barthes) (EN) How is architecture made? ‘Revolutionize Construction’ unpacks the political economy of construction, examining who commissions, finances, and builds, and interrogating architects’ roles. It explores how these systems might be revolutionized to enable the emergence of post-extractive architecture. Studio MA2 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio MA2 (Cierto) (EN) The studio expands its focuses on the domestic world to the scale of the city. Beginning with an existing urban structure, students design collective housing by moving from public space to the dwelling, before returning once again to the city. Studio MA2 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and greater Geneva. Studio MA2 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio MA2 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio MA2 (Huang) (FR) L’atelier examine les effets de l’intelligence artificielle sur l’architecture et les villes. Les outils génératifs sont envisagés comme des instruments culturels et politiques, structurant le projet à partir de données ancrées dans le territoire, l’économie, l’identité, l’image et l’écologie. Studio MA2 (Lapierre) (FR) This semester explores the Berlin/Rome/Lausanne triangulation. Ungers’ archipelago, the Nolli map, and Foucault’s heterotopias serve as theoretical benchmarks for designing public facilities in Lausanne as “constructed utopias.” Architectural anthropology (EN) This course introduces key anthropological debates and methodological approaches that are concerned with architectural productions, knowledge, and design practices.
Restore, transform and create – Practices (FR) Working with what already exists requires specific methods and tools. Mastering them means understanding what’s already there. Once it has been made intelligible through a heritage study, it can be rehabilitated. Rehabilitation ranges from restoration to creation and transformation. Drawing Structures – Docta Manus (EN) The Unit will introduce drawing as the key tool for communication between engineers and architects, and as a mediator between construction and the student. Through drawing, we will analyze selected structural projects that embody an exemplary interaction between space and structure. UE S : Foundations, basements, and the underground (EN) Using qualitative and quantitative analysis, this course will explore the underground of architecture, infrastructure, and cities from multiple perspectives (structure, material, space) to understand both its requirements and possibilities as a key part of today’s densifying cities. Constructing the view: still life (EN) This course explores visual strategies and techniques for creating apparent reality. The course concentrates on the field of 3D computer graphics and the production of still lifes as computer-generated images (CGI). UE N : Constructing the view (EN) This course focuses on the production of utopian scenarios using experimental composition techniques. By means of digital montage, the fictitious scenes are meaningfully conveyed in a series of images. Architecture and monasticism (EN) This course aims to give a general overview of the history of monasticism in relation to architecture. Constructing the view: in motion (EN) This course addresses the subject of moving images. It focuses on the field of 3D computer graphics and the animation of computer-generated images (CGI). UE G : Drawing Spaces (EN) The proposed UE Drawing Spaces is conceived as a long-term research and teaching series investigating the foundations of architectural space through analytical drawing practices. Environmental history and architecture (FR) The course explores the intersections between architectural and environmental history, focusing on a series of themes (climate, energy, materials, more-than-human, growth, ecology) and analysing the written, drawn and built works of architects and historians from the 20th and 21st centuries. Confort by design in the 20th century architecture (FR) The main objective of this course, is to highlight the centrality of building services in the design of architecture; to grasp the implications of âcomfort designâ as a feature of âarchitectural designâ and to explore the intersection of the sensorial and the material in architectural histor UE H : Graphy (FR) Experiment graphic tools to represent architecture. Exercise the skill of communicating via these tools, through repeated practice of eye/hand/brain connections; a reflection stemming from the theories of representation; and by searching for inventive solutions. UE R: Introduction to BIM (Building Information Modeling) (EN) This UE explores more in details, and in a more practical way, the concepts introduced during the BIM introduction course AR-484. All project different phases are addressed, with an emphasis on interdisciplinary collaboration and data exchanges. UE F : Architecture and rehabilitation (FR) This course aims to raise the students’ awareness to the specificities of a renovation project. The Teaching Unit focuses on the relation between renovation demands and a broad architectural vision, with particular emphasis on sustainable development. UE K : Architecture and Sustainability : performance studies (FR) This course is based on the team design of a temporary, mobile and sustainable theater. A pedagogical approach which will focus on the introduction of the concepts of sustainability applied to the design of a project with a short life span. Comfort and architecture: sustainable strategies (EN) This class offers an overview about comfort evaluations in architectural design and suggests passive and low-energy strategies suited to ensure the highest possible indoor environment quality for buildings. Architecture and Solar energy (FR) This course aims to provide architects with the knowledge and critical perspective needed to use appropriate solar technologies and strategies (passive and active, winter and summer) within a coherent architectural design project. City and mobility (FR) The City and Mobility course focuses on the basic knowledge of mobility, starting from lifestyles to inform architecture and engineering.
In particular, it explores how cities and mobility are co-constructed. UE D : Urban planning and territory (FR) The UED aims to familiarize itself with diagnostic methods that incorporate social practices and customs, since “living” encompasses not only the physical space of one’s home, but also the entire range of life experiences and familiar places that people use, experience, and grow attached to. UE J : Territory and landscape (FR) TU J initiates students to urban and territorial analysis, in the light of a research hypothesis. A sequence of operations is proposed: survey/description; spatial principles (form/rationale/dynamics); territorial visions.
UE U : Cartography (EN) Teaching unit on cartography and environmental aesthetics in architecture.
UE X : Experience design (EN) Experience Design examines the effects of digitalization on architectural typologies in the contemporary city. The course questions traditional typologies by focusing on an understanding and re-design of social, geographic, temporal and emotional experiences. Introduction to BIM (Building Information Modeling) (FR) Based on feedback from BIM professionals, this introductory course will allow you to acquire a global vision.. Urban sociology (FR) This course aims to familiarize students with urban sociology through the lens of housing. It enables them to navigate the concepts, tools, and methods the discipline offers to understand the simultaneous evolution of lifestyles and the spatial and political organization of territory.
Deman Land and real estate economics (FR) This MOOC-based course prepares students to analyse the economic context of construction projects: land acquisition, land prices, property prices, housing prices (rental and ownership), in an urban setting. By the end of the course, students will understand the determinants of these prices. Spatial and Regional Economy (FR) An introductory course designed to provide a historical perspective on the spatial distribution of people and activities. Behind/Beyond future cities (EN) We are living in an urban world and the design of sustainable cities is essential in order to decrease our energy footprint. This course provides the instruments to understand the complex urban metabolism, as well as the solutions for planning future smart and sustainable cities. Building design in the circular economy (EN) The class introduces the concept of circular economy and its applications to building design, with a focus on design with reused components and design for disassembly. The class develops critical thinking skills over and above theoretical and technical inputs. Digital design and making: A critical introduction (EN) The course introduces digital design and fabrication methods by combining the transfer of technical skills with theoretical knowledge and critical reflection. Topics include: scripting/programming for design, mass customisation through digital fabrication and robotic construction. Sustainable Japanese architecture and landscape (EN) This course focuses on the circulation of the imaginary between cultures. It shows how major Western architects, landscape designers, painters and sculptors have been inserting sustainable architectural and landscape Japanese devices and notions into their designs since the 19th century. Modernity I (EN) Theory course on modernist environmental aesthetics in architecture. UE C : Habitat and society (FR) By articulating theoretical and architectural knowledge with socio-political knowledge, the UE aims to explore the possibility of a renewed contemporary imagination around productive housing. The origins of modern domestic space (EN) The course is part of a three-year trajectory dedicated to a comprehensive history of domestic space and its relationship with urban form from its prehistoric origins to Neoliberal times.
UE V : Atlas alpinus (FR) The teaching unit will take the form of a collective research studio on the forms, materials and techniques of Alpine building culture. Bibliographical analysis, fieldwork and redrawing of built heritage will form the scientific basis for the construction of a shared atlas. Marvelous Architecture (FR) This course investigates a specific definition of architectural rationality, borrowing from Surrealism and Bachelard’s epistemology in an attempt to understand how architectural forms work when they amaze us. Exquisite Corpse: Architecture Assembled (EN) Through close readings of key examples, the course revisits the historical evolution of architectural drawing and representation as autonomous entities, aiming to reclaim the agency of architectural drawing as a project. Introduction to building archaeology (FR) This course imparts the basic notions of study and analysis methods in construction archaeology. The aim is to develop students’ understanding of ancient buildings, enabling them to take a more sensitive approach to architectural objects. Urban Green Spaces and Blue-Green Infrastructures (EN) Urban green offers a variety of services and thus plays an important role in the transformation of our cities. The course provides an overview of various innovative approaches to the planning and design of multifunctional green spaces, focussing on how to build green and blue infrastructures. UE A : Patterns for bio-based material envelopes (EN) This course explores vernacular architecture through the analysis of bio-based construction systems, geometry, and structural principles. Using digital modeling, students investigate traditional building methods and translate their principles into innovative and sustainable design solutions. Territories and housing architecture (FR) Adaptation to climate change, evolving lifestyles, and the priority placed on inward development are motivating a deeper understanding of the architectural characteristics of housing (scope, evolution, recurring patterns, and future) as well as the contexts in which it operates. Superstudio A (FR) Le Superstudio étudie l’histoire de la villa en se concentrant sur 30 cas d’étude de l’Antiquité jusqu’au 20ème siècle. L’objectif de ce studio est de comprendre, à travers l’étude architecturale des villas, les éléments les plus essentiels de l’architecture : forme, politique et représentation. EDAR thesis writing workshop (FR) The workshop will equip participants with practical skills necessary to make thesis writing smoother and better organized. Main issues covered are: getting started, stucture and argumentation, time management and self-motivation, getting and handling feedback, publications and technical tools. Against Data – Decolonizing Research (EN) This seminar will interrogate the far-fetched claim of neutrality in research at large, and of doctoral research in particular, through the lens of decolonial research discourse. Memory matters (EN) Materials embody memories of craft, industry, culture and landscape. Ordinary buildings hold layered legacies yet pose ecological and reuse challenges. The course rethinks heritage through materials, examining their assessment, documentation, and potential for careful disassembly and reuse. Horizontality and its project (EN) This seminar proposes to revisit horizontality as a mode of critical engagement with the socio- political, ecological, and economic processes of urbanization. Participant will be asked to develop a critical perspective on each of the three seminar session. Theory and Method in the Study of Architecture, Art and the City (EN) PhD students are introduced to key texts, concepts, and terms in the history of art and of the built environment. They will hone their ability to critically analyze important scholarly and theoretical essays, develop their own interpretations and present key ideas to their peers. Collective Figurations of Baukultur (EN) Conceptualizes figuration in architecture and urban design within historical and theoretical debates on representation; historicizes design research; critically contrasts operative representations with collective figurations and assesses their implications for democratic co-design. Making the World Discrete. Workshop on Methods II (EN) This workshop invites three leading scholars in art, architecture history – Prof. Aleksandr Bierig, Prof. Lucia Allais, and Prof. Emanuele Lugli – to present and discuss their work on the intersections between art, architecture, and numerical regimes from the early modern period through the 20th. Capitalizing on Uncertainty (EN) SUMMER SCHOOL – Capitalizing on Uncertainty is a 6-day Summer school exploring uncertainty as a productive resource in design and fabrication through lectures, hands-on experiments, and the collaborative design and construction of a full-scale structure in a human-robot fabrication setting. Cellular biology and biochemistry for engineers (EN) Basic course in biochemistry as well as cellular and molecular biology for non-life science students enrolling at the Master or PhD thesis level from various engineering disciplines. It reviews essential notions necessary for a training in biology-related engineering fields. Introduction to life sciences (for IC) (EN) Introduction to Life Sciences provides snapshots of representative fields in modern biology, many of which nowadays heavily rely on computational methods. Bio-organic chemistry (EN) The aim of the course is to provide a chemical understanding and intuition to decipher and predict chemical processes in living systems. Integrated labo in Life sciences I (FR) Over two semesters, you will use molecular biology, cell biology, and biochemistry to clone a cDNA into an expression plasmid and then produce, purify, and characterize the recombinant protein. Integrated labo in Life sciences II (FR) Over two semesters, you use molecular biology, cell biology, and biochemistry to clone a cDNA into an expression plasmid and then produce, purify, and characterize the recombinant protein. Cellular and molecular biology I (EN) The course covers the regulation of gene expression, which translates the information contained in the genome into function, by adjusting the levels and activities of mRNAs and proteins to the needs of specific cells, tissues and environments. A particular emphasis is given on experimental methods. Cellular and molecular biology II (EN) This course is aimed to familiarize students with the 3D organization of a eukaryotic cell, its compartmentalization, how cellular compartments communicate together and how a cell communicates with its environment. The related molecular mechanisms will be discussed. Applied software engineering for life sciences (EN) We learn and apply software engineering principles to develop Python projects addressing life science problems. Projects will be expanded iteratively throughout the semester. Biological chemistry I (EN) Biochemistry is a key discipline for the Life Sciences. Biological Chemistry I and II are two tightly interconnected courses that aim to describe and understand in molecular terms the processes that make life possible. Biological chemistry II (EN) Biochemistry is a key discipline in the Life Sciences. Biological Chemistry I and II are two tightly interconnected courses that aims to understand in molecular terms the processes that make life possible. Cell and developmental biology for engineers (EN) Students will learn essentials of cell and developmental biology with an engineering mind set, with an emphasis on animal systems and quantitative approaches. Mechanics of cells and tissues (EN) In this course, students will explore how mechanical stimuli shape molecular responses, cell behaviors, and tissue architecture, with an emphasis on regeneration and disease. Basic image analysis tools will be introduced to determine cellular and tissue properties. Immunology (FR) This course describes the human immune system, and the immunological bases of vaccination, transplantation, immunotherapy and allergy. It also describes the role of stem cells in the formation of tissues, in particular the hematopoietic lineage. Neuroscience (EN) This neuroscience course progresses from core cellular mechanisms of neuronal signaling to integrated brain systems controlling sensory processing, movement, and behavior, culminating in learning, memory, and nervous system disorders. Genomic solutions to sustainable development (EN) The course will teach how genome sciences contribute to sustainable development. Students will learn how genome sequencing technologies and applications are being used to address current challenges in agriculture, biodiversity conservation, healthcare, and climate change via lectures and practicals. Biology and engineering of membrane signaling (EN) This course introduces the basic biology of cell membranes and membrane proteins, and explains how they control communication between cells and their environment. Students will also learn how membrane proteins are studied and engineered in modern biology and bioengineering. Structural biology (EN) The main focus of this course is on the molecular interactions defining the structure, dynamics and function of biological systems. The principal experimental and computational techniques used in structural biology, as well as molecular modeling and design will be introduced and practiced. Morphology I (FR) This class is a specific preparation for the admission exam to join the third year of the Medical School. It covers the macroscopic (anatomy), microscopic (histology) morphology of the human body with a medical perspective. The correlation between structure and function is systematically described. Biological data science II : machine learning (EN) Students understand basic concepts and methods of machine learning. They can describe them in mathematical terms and can apply them to data using a high-level programming language (julia/python/R). Dynamical systems in biology (EN) Life is non-linear. This course introduces dynamical systems as a technique for modelling simple biological processes. The emphasis is on the qualitative and numerical analysis of non-linear dynamical models. Examples are taken from biology and population models. Randomness and information in biological data (EN) Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to understand biological processes in a quantitative way. Microbiology (EN) This course will provide an introduction to fundamental concepts in microbiology. Special emphasis will be given to the surprising and often counter-intuitive physical world inhabited by microorganisms. Genetics and genomics (EN) The theoretical part of this course covers classical genetics and contemporary genomics. Because bioinformatics has become important for genomic research, the course also includes practical applications to genomic analyses using Python, including group projects. Physiology by systems
(FR) The course aims at knowing and understanding the function of the cardiovascular, urinary, respiratory, gastrointestinal, basal metabolism and its regulation in the frame of a biomedical and scientific approach. Physiology lab I (FR) The physiology laboratory introduce the experimental methods in the biomedical field, including experimental set-ups, transducers, signal conditioning, data acquisition and processing.
The physiological end results illustrate the contents of the Physiologie par systèmes course. Physiology lab II
(FR) The physiology laboratory introduce the experimental methods in the biomedical field, including experimental set-ups, transducers, signal conditioning, data acquisition and processing.
The physiological end results illustrate the contents of the Physiologie par systèmes course. Oncology (EN) This course provides a comprehensive overview of the biology of cancer, including common mechanisms that cancer cells use to grow and disseminate in humans and in animal models. Bioimage informatics (EN) The course provides a comprehensive overview of methods, algorithms, and computer tools used in bioimage analysis. It exposes fundamental concepts and practical computer solutions to extract quantitative information from multidimensional images, both using engineering methods and deep learning. Life Sciences engineering: genome to function (EN) Students will acquire fundamental knowledge regarding how genomes can be engineered, how their function can be deciphered, and how their dynamic outputs can be analyzed and modeled, exemplified with a focus on cell cycle progression and proliferation control. Nutrition: from molecules to health (EN) The course addresses methods/technologies to study how nutrition affects biological and pathophysiological processes. It provides an overview of molecular phenotyping of individuals and key aspects to perform clinical investigations, covers nutrigenomics, genetics, micronutrients, microbiota. Fundamentals of biophotonics (EN) This module serves as an introduction to the area of biophotonics. The approach is multidisciplinary .The course is mainly knowledge-based but students will benefit from the skills learned by carrying out problem solving and by completing the assignment. Stem cells and organoids (EN) This course introduces the fundamentals of stem cell biology, with a particular focus on the role of stem cells during development, tissue homeostasis/regeneration and disease, and the generation of organoids from stem cells Understanding statistics and experimental design (EN) This course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental design and to avoid common pitfalls of statistical reasoning. There is space to discuss ongoing work. Molecular endocrinology: health and environment (EN) We will define homeostasis, principles of hormone regulation and the molecular mechanisms underlying hormone action and their pharmacologic exploitation. Human interactions with the environment, pertinent public health issues and their causes and preventative strategies will be analyzed. Genomics and bioinformatics (EN) This course covers various data analysis approaches for applications of DNA sequencing technologies, from genome sequencing to quantifying gene evolution, gene expression, transcription factor binding and chromosome conformation. Scientific project design in cell and developmental biology (EN) Students are led to understand selected concepts in cell and developmental biology through the analysis of scientific literature, and then apply these concepts to the design and execution of a group project in either the Gönczy or the Oates laboratory. Scientific literature analysis in bioengineering (EN) Students are given the means to dig effectively into modern scientific literature in the multidisciplinary field of bioengineering.
The method relies on granting sufficient time to become familiar with the background and hypotheses, on effective support during the analysis and on oral assessment. Scientific literature analysis in computational molecular biology (EN) The goal of this course is to learn to analyze a scientific paper critically, asking whether the data presented support the conclusions that are drawn. The analysis is presented in the form of a summary presentation and critical, constructive assessments of the paper. Cancer biology I (EN) The course covers in detail molecular mechanisms of cancer development with emphasis on cell cycle control, genome stability, oncogenes, tumor suppressor genes, signaling pathways involved in cancer, genomic cancer analysis and rational cancer therapies.
Cancer biology II (EN) The course covers in detail the interactions of cancer cells with their environment with an emphasis on tumor-angiogenesis, inflammation, adaptive and innate immunity and cancer-induced immune suppression. Additional topics are cancer metabolism, cancer stem cells and metastasis. Infection biology (EN) Infectious diseases (ID) are still a major problem to human health. But how do pathogens make us sick? How do they evolve and spread? The discovery and use of antibiotics and vaccination has changed the outcome of some IDs. But resistance mechanisms have evolved and are of major concern. Neuroscience: from molecular mechanisms to disease (EN) The goal of the course is to guide students through the essential aspects of molecular neuroscience and neurodegenerative diseases. The student will gain the ability to dissect the molecular basis of disease in the nervous system in order to begin to understand and identify therapeutic strategies. Neuroscience: cellular and circuit mechanisms (EN) This course focuses on the biophysical mechanisms of mammalian brain function. We will describe how neurons communicate through synaptic transmission in order to process sensory information ultimately leading to motor behavior. Neuroscience: behavior and cognition (EN) The goal is to guide students into the essential topics of Behavioral and Cognitive Neuroscience. The challenge for the student in this course is to integrate the diverse knowledge acquired from those levels of analysis into a more or less coherent understanding of brain structure and function. Scientific project design in translational oncology (EN) The theme of the course is the role of inflammation in cancer. It focuses on the regulation and multifaceted functions of tumor-associated inflammatory cells, and how they promote or oppose cancer. Entrepreneurship in life sciences (EN) Based on real-world examples, hypothetical or own inventions, students are provided with a skill set for translating scientific innovation into a convincing investor pitch (including a comprehensive slide deck on all relevant aspects) and applications for funding of a startup project New tools & research strategies in personalized health (EN) This course introduces the concept of personalized health, exploring its foundational technologies as well as the technological, legal, and ethical challenges the field currently faces. Strategies and approaches used to address these challenges will also be discussed. Scientific project design in integrative neurosciences (EN) In this course, students will investigate causal neuronal network mechanisms underlying sensory-guided decision-making in mice. Students will analyse published data to develop integrative neuroscience research projects including the design of new experiments to test specific falsifiable predictions. Concept to early-stage drug and medTech products (EN) This course explores how innovative drugs and medical devices reach the market, with biotech and medtech experts sharing real-world insights through interactive sessions.
Because these sessions rely on direct interaction with invited industry leaders, in-person attendance is mandatory. Entrepreneurship in food & nutrition science (EN) Students will learn how nutrition science & food technology is applied to develop food products & diets to optimize health. Examples & case studies will cover novel food technologies, nutrition research on diet, macronutrients & bioactive ingredients, and regulatory & safety requirements. Neural circuits of motivated behaviors (EN) Motivated behaviors fulfil the basic physiological needs of animals and enable their safety. In this course, you will learn about the neuronal circuits that sense and regulate internal states, detect dangers in the environment, and organize appropriate behavioral responses. Ethics for life sciences engineers (EN) The decisions that life science engineers make can have profound impacts on other people, on society, and on the environment. It is important, therefore, to be aware of the potential effects of decisions, and to have a set of ethical principles and analytical tools to make good ethical decisions. IGEM (EN) An interdisciplinary EPFL student team will design and build genetic circuits with novel functionalities. Students learn to develop a project and carry it out to completion in a concrete manner. Their creativity and critical thinking are highly encouraged. IGEM lab (EN) An interdisciplinary EPFL student team will design and build genetic circuits with novel functionalities. Students learn to develop a project and carry it out to completion in a concrete manner. Their creativity and critical thinking are highly encouraged. Digital epidemiology (EN) Epidemiology is foundational to medicine and public health. This course starts with the key principles of classical epidemiology, progressing through computational modeling techniques, and concluding with the digital approaches of today. Students will also develop a digital epidemiology prototype. Practical – Ablasser Lab (EN) Pattern recognition pathways in innate immunity.
The course aims to teach students about approaches to study mechanisms of innate immune recognition of pathogens. Practical – Barth Lab (EN) This course will convey the concepts and experimental techniques for studying the signal transduction mediated by receptors across biological membranes. Practical – Oricchio Lab (EN) Training in hemato-oncology.
Analysis and genetic manipulation of hematopoietic progenitor cells.
Morphological recognition of main hematopoietic lineages. Practical – Persat Lab (EN) The student will learn how to:
– perform high resolution microscopy of single bacterial cells
– perform a motility assay
– operate high resolution microscope
– analyze image data Practical – Stahlberg Lab (EN) Cryo-electron microscopy structural analysis of proteins. The course aims at demonstrating the workflow from sample purification to determining the atomic structure of a soluble or membrane protein. Practical – Schoonjans Lab (EN) Bile acid signaling. Investigate GPCR-mediated effects of bile acids on mitochondrial function and dynamics. Practical – Tang Lab (EN) In this course, the students will learn the basics skills in cancer immunotherapy and immunoengineering.
Open to 4 students. Practical – Brisken Lab (EN)
Breast development and cancer.
Learn about experimental approaches to study Breast Development and Breast Cancer. Practical – Constam Lab (EN) Primary cilia have emerged as an important organelle of cells to sense environmental cues that control embryogenesis and adult renal tubule and liver bile duct homoestasis. This course focuses on functional analysis of molecules implicated in signal transduction of fluid flow-sensing cilia. Practical – Antanasijevic Lab (EN) The students will learn:
1) how to handle viral protein antigens and antibody samples
2) how to assemble and purify immune complexes using liquid chromatography
3) how to image them on an electron microscope Practical – Karthaus Lab (EN) Students will learn
1) how organoids can be used in biomedical research
2) How to perform organoid culture
3) How to perform basic genetic manipulations Practical – Gönczy Lab (EN) Give students a feel for some of the approaches pursued to understand mechanisms underlying cell division processes, primarily in C. elegans embryos but also in other systems, including human cells in culture. Practical – Schuhmacher Lab (EN) It’s all about the lipids: We use a chemical biology approach to answer outstanding questions in membrane biology.
We show you how to use our lipid tools that allow you to manipulate lipid concentrations and visualize them in cells. Practical – Goemans Lab (EN) The students will get practical experience in
(i) how to cultivate diverse bacteria
(ii) how to treat them with antibiotics or
(iii) with bacteriophages that they will isolate themselves from the environment. Practical – Thomä Lab (EN) Expression and purification of recombinant proteins are key methods in our lab studying protein machines on a structural level and ways in which they can be reprogrammed by small molecules. In the course, we will express and purify proteins and biophysically characterise them. Practical – Zenk Lab (EN) You will learn to prepare single nuclei suspensions from organoid and use them to generate chromatin accessibility (ATAC) or CUT&Tag sequencing libraries to probe the epigenetic landscape during development.
You will also learn how to perform basic analysis and compare
between samples. Practical – Gallini Lab (EN) This course explores how stem cell fate and behaviors are regulated in the skin epithelium during homeostasis, injury, and tumorigenesis. Students gain knowledge of skin biology and experience with ex vivo approaches to study cell behaviors required to maintain or restore barrier function. Practical – Radtke Lab (EN) Self renewing organs.
Flow Cytometry as tools for the analysis of the hematopoietic system. Practical – Merten Lab (EN) Learn how to design & perform microfluidic droplet experiments for single-cell encapsulation. Through hands-on work, gain experience with chip operation, droplet generation & fluorescent signal acquisition. Introduction to single-cell genomics workflows & their integration with microfluidic technol. Practical – Waszak Lab (EN) Introduction to imaging-based single-cell genomics and computational methods for single-cell image analysis. Building Brain Resilience Synapsy Symposium (EN) This symposium brings together leading experts in the fields of resilience to life stressors and resilience to cognitive decline. Topics will include allostasis, plasticity and adaptation across body systems, as well as cognitive reserve, brain maintenance and mechanisms related to dementia risk. Practical – Lemaitre Lab (EN) Drosophila immunity.
Give students a feel for some of the approaches pursued to understand mechanisms underlying cell division innate immunity in Drosophila. Practical – D’Angelo Lab (EN) Cells produce thousands of lipids that impact biological processes in ways we are only starting to characterize. In this course we will introduce MALDI imaging mass spectrometry to study lipid composition in a space resolved fashion. Practical – Van der Goot Lab (EN) Membrane organization.
Investigate the compartmentalisation of biological membranes: what are the determinants of the localization of transmembrane proteins in the 2 dimensional space of the membranes? Integrative structural biology for Life sciences (EN) Hands-on course in Biomolecular Integrative Structural Biology by SV experts in the field of X-ray crystallography, cryo-Electron Microscopy, Bio-NMR and protein modeling tools. No previous knowledge in Structural Biology or Bioinformatics is required. Research Data Management in Life Sciences (EN) Introduction to Research Data Management in Life Sciences, covering data organization, documentation, workflows, publication, FAIR principles, tools, and best practices. Includes hands-on activities to improve and optimize participants’ own data management workflows (used for evaluation) Sustainable lab practices for life sciences (EN) This course equips researchers to assess and reduce the environmental impact of laboratory research. Through lectures, workshops, and project work, participants learn to measure their lab’s carbon footprint, apply sustainability frameworks, and lead metric-driven sustainability initiatives. Advanced Microscopy for Life Science (EN) For further information, please get in contact with the instructor or have a look on the following web-site: http://biop.epfl.ch/ Responsible Conduct in Biomedical Research (Fall) (EN) Responsible Conduct in Biomedical Research Responsible Conduct in Biomedical Research (Spring) (EN) Responsible Conduct in Biomedical Research Practical – Blokesch Lab (EN) How to look at tiny things: visualizing bacteria using epifluorescence microscopy. Practical – Huelsken Lab (EDMS) (EN) Assessment of signaling mechanisms in cancer.
The objectives of the course are:
– to understand the importance of signaling and cell-cell interactions in cancer stroma interactions
– to learn techniques involved in assessing the function of such interactions in vitro and in vivo. Practical – Suter Lab (EN) Bioluminescence imaging and data analysis Splinkerette PCR (to analyze genomic insertion site of a transgene).
The students will obtain theoretical and practical insight into embryonic stem cell biology and the study of gene expression fluctuations in single cells.
Practical – De Palma Lab (EN) Cell heterogeneity in the tumor microenvironment. Scientific writing for biomedical articles (Fall) (EN) The course is highly recommended for its excellent quality. Researchers will be apt to write a clear, well-structured article. We aim to make researchers aware of good writing and help them to face their writing with confidence. Scientific writing for biomedical articles (Spring) (EN) Researchers will be apt to write a clear, well-structured article. The aim is to make researchers aware of good writing and help them grow confidence in getting feedback and improve their text. Engineering of musculoskeletal system and rehabilitation (EN) This course presents today research questions and methods associated to the musculoskeletal system, its pathologies, and treatment. Bioinformatic Analysis of RNA-sequencing (Fall) (FR) Bioinformatic Analysis of RNA-sequencing (Spring) (EN) This course will take place at EPFL in June 2026, from 8th to 12th, in room AAC 137.
It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers students to understand and analyze their own data. Image Processing for Life Science (EN) Registration details will be announced via email. It takes place yearly from Sept./October to December & intends to teach image processing with a strong emphasis of applications in life sciences. The idea is to enable the participants to solve image-processing questions via workflows independently. Training Rotation (EDNE) (EN) Training Rotation on the EPFL Campus during the 1st year of a PhD. 1,2 or 3 months are possible. Training Rotation (EDNE) (EN) Training Rotation on the EPFL Campus during the 1st year of a PhD. 1,2 or 3 months are possible. Recombinant protein expression in animal cells for appli-cations in medicine and structural biology (EN) Cultivated animal cells are important hosts for the production of recombinant proteins for biochemical and structural studies and for use as therapeutics. The course will provide an overview of the methods for the production and characterization of recombinant proteins. From data to paper: science communication to peers (EN) Participants will learn how to transform their data into clear scientific output for peers. Across three half-day sessions, they will work in an interactive setting on the main steps linking data, figures, paper structure and poster presentation. Mechanisms of cell motility (EN) Mechanisms of cell motility General Biology (FR) The purpose of the course is to provide a general overview of the biology of cells and organisms. We will discuss this in the context of cell and organ life, focusing on the regulatory principles you will encounter in your biology studies. Biological data science I: statistical learning (EN) Processing, analyzing, and interpreting large biological datasets is an essential skill for modern biologists. This course aims to provide the theoretical foundations, analytical techniques, and software tools necessary to effectively manage and derive insights from biological data. Neuroscience foundations for engineers (EN) This overview course bridges computational expertise with neuroscience fundamentals, aimed at fostering
interdisciplinary communication and collaboration for engineering-based neuroscience programs. Fluid mechanics (for SV) (EN) This introductory course on fluids mechanics presents the basics concepts in fluids statics, dynamics and kinematics. From light to life: optics and imaging in biology (EN) This course introduces the principles of optics underlying modern biological imaging. Students learn how light interacts with matter, how optical systems form images, and how advanced fluorescence and super-resolution microscopy enable discoveries in biology and molecular medicine. Synthetic biology (EN) This advanced Bachelor/Master level course will cover fundamentals and approaches at the interface of biology, chemistry, engineering and computer science for diverse fields of synthetic biology. This class requires critical and analytical thinking at the frontiers of multiple disciplines Immunoengineering (EN) Immunoengineering is an emerging field where engineering principles are grounded in immunology. This course provides students a broad overview of how engineering approaches can be utilized to study immunology, model immune systems, modulate immune response, and develop novel immunotherapies. Single cell biology (EN) The students are exposed to experimental and analytical approaches specific to single cell biology, with an emphasis on quantitative aspects. Basics in bioinstrumentation (EN) This combined practical and theoretical course will provide the basics in bioinstrumentation, including the construction of a droplet-microfluidic workstation for high-throughput, single-cell analysis. Many of the learned concepts are equally applicable to other widely used lab instruments. Selected topics in life sciences (EN) This course explores advances at the intersection of biology, biotech, engineering, and medicine. Through lectures, projects, and expert talks, students examine research transforming healthcare, tackling global health issues, and raising ethical and societal questions. Biomedical optics (EN) This course addresses the principles governing the interactions between light and biological tissue, their optical properties and basic concepts of radiometry. Illustrative diagnostic and therapeutic applications of light in medicine and photobiology will also be described. Scientific literature analysis in neurobiology (EN) The goal of this course is to learn to analyze a scientific paper critically, question if the data support the conclusions, and produce constructive referee reports in written or oral form. The papers considered will give an overview of the field of developmental neurobiology. Next-generation biomaterials (EN) “Next-Generation Biomaterials” explores the latest advancements in the development and application of cutting-edge biomaterials for medical and healthcare innovation. Methods: from disease models to therapy (EN) This course will describe methods underlying translational approaches from disease modeling and characterization to therapeutic applications. The presented techniques will be complemented by hands-on rotations in the technological platforms of the School of Life Sciences. Methods: omics in biomedical research (EN) High-throughput methodologies broadly called Omics allow to characterize the complexity and dynamics of any biological system. This course will provide a general description of different methods related to the Omics field followed by hands-on rotations in participating technological platforms. Monthly IBI-EDBB Mini-symposia (EN) To expose EDBB students to research in Bioengineering through attendance of lecture series given by EDBB students and external speakers. The objectives are to broaden the knowledge of students in the field of Bioengineering and expose them to the diversity of studies in the IBI community. Let’s experiment (EN) Before you step into the lab to do an experiment, you have a long list of questions: How do I design an experiment that will give a clear answer to my question? What model system should I use? What are my controls? What’s an ideal sample size? How can I tell if the experiment worked? Sharing your research (EN) Giving a research talk (say, at a conference, to your department or in your research group meeting) is a really important part of a scientist’s career. This course is designed for anyone who will be giving research-based scientific talks in the future. Writing for science (EN) The goal of the course is to develop effective writing skills for academic and professional contexts. Planning your scientific journey (EDBB) (EN) Planning Your Scientific Journey: Being successful as a scientist requires more than acquiring knowledge and developing experimental skills. It also requires: (1) asking a good scientific question, (2) establishing a clear plan of action, and (3) seeking advice along the way. EDCB seminar series (EN) The EDCB seminar series provides EDCB students the opportunity to share their research and learn from their peers. Students can freely exchange, present data, ideas and get useful feedback on ongoing research and improve communication skills. BioEngineering Student Seminar Series (EN) To expose EDBB students to research in Bioengineering through attendance of lecture series given by EDBB students and external speakers. The objectives are to broaden the knowledge of students in the field of Bioengineering and expose them to the diversity of studies in the IBI community. General chemistry for SV (EN) This course covers essential notions in general chemistry, relative to matter and its structure, equilibriums and chemical reactions, for life science students. The lectures and exercise sessions provide the knowledge and methodology required to solve general chemistry exercises. Chemistry Laboratory Work I (FR) The student will learn how to work in a chemistry laboratory. He/she will acquire a quantitative and/or qualitative approach. TP carried out are in relation to the courses of chemistry and will be followed by a second part “TP2”. Chemistry Laboratory Work II (FR) Introduction to basic manipulations in general, inorganic and analytical chemistry.
Introduction to classical quantitative analysis. Learn to carry out quantitative analysis.
General principles of the classical quantitative analysis.
Advanced general chemistry I (FR) This course comprises of two parts. The bases of the thermodynamics of equilibria and of the kinetics of reactions are introduced. The first notions of quantum chemistry on electrons and bonds, exemplified in organic chemistry, are presented in the second part. Advanced general chemistry II (FR) Fundamental knowledge on the reactivity of organic compounds and their identification by mass spectrometry, IR spectroscopy and nuclear magnetic resonance. Advanced general chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. Advanced general chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. General chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. Practical programming in Chemistry (EN) This course offers a comprehensive, practical introduction to computer programming tailored for chemists and chemical engineers. Python is the main language used throughout the course. Biochemistry (FR) Basic concepts in biochemistry as well as biochemical components of organisms such as proteins, DNA, carbohydrates and lipids are discussed. Preparative chemistry I (FR) Apply basic reactivity in organic chemistry to the multi-step synthesis of polyfunctional molecules. Instruction on safety regulation in laboratories of chemical synthesis. Instruction on the planification and monitoring of simple synthetic pathways. Chemistry of elements s and p (EN) Introduction to the chemistry of the s & p elements of the periodic table. Coordination chemistry (EN) Fundamental knowledge of coordination compounds. Organometallic chemistry (EN) Basic organometallic chemistry will be covered in this course.
1. Structure and bonding in organometallic compounds.
2. reactivity of organometallic compounds, stoichiometric reactions, catalyzed reactions and reaction mechanisms. Organic chemistry laboratory Work (FR) Purification methods (distillation, crystallization, chromatography), simple organic syntheses: bromination, reduction, acylation, imine, nitration, Grignard, Reformatsky)
Acquisition of knowledge on the chemical hazards and how to protect ourself. Knowledge of legal commitments. Organic functions and reactions I (FR) The course will focus on the reactivity of carbonyl compounds: their structure, reactivity and transformations; the reaction of enols/enolates. The understanding of reaction mechanisms, chemo-, regio- and stereo-selectivities will be emphasized. Organic functions and reactions II (EN) To develop basic understanding of the reactivity of aromatic and heteroaromatic compounds. To develop a knowledge of a class of pericyclic reactions. To apply them in the context of the synthesis. Statistical mechanics for chemistry (FR) This course builds the universal theoretical basis for the understanding of many particle systems. The introduced methods are used to illuminate various phenomena across chemistry. Electrochemistry of solutions (FR) Students integrate the concepts of electric potentials, the Fermi level of the electron and apply the Nernst equation. They understand the structure of an electrified interface. Electrochemical generators, electrolysis and the basics of amperometry are presented. Quantum chemistry (EN) Introduction to Quantum Mechanics with examples related to chemistry Mathematical methods in chemistry (EN) This course consists of two parts. The first part covers basic concepts of molecular symmetry and the application of group theory to describe it. The second part introduces Laplace transforms and Fourier series and their use for solving ordinary and partial differential equations in chemistry & c.e. Analytical separation methods (FR) Students understand the physico-chemical principles of chromatographic and electrophoretic separation methods Experimental analytical chemistry (FR) This laboratory work aims to illustrate the analytical separation methods course as well as to accustom the students with the qualitative and quantitative aspects of analytical chemistry.
The number of proposed experiments depend on the number of incoming students. Dynamics and kinetics (EN) The course covers the principles of chemical kinetics, including differential rate laws, derivation of exact and approximate integral rate laws for common elementary and composite reactions, fundamentals of collision and transition state theories, and applications such as enzymatic catalysis. Macromolecular structure and interactions (EN) This course covers the basic biophysical principles governing the thermodynamic and kinetic properties of biomacromolecules involved in chemical processes of life.
The course is held in English. Dynamics of biomolecular processes (EN) In this course we will discuss advanced biophysical topics, building on the framework established in the course “Macromolecular structure and interactions”. The course is held in English. Chemical biology (EN) Chemical Biology is an interdisciplinary field using chemical principles and techniques to analyse and manipulate biological systems. It relies on small-molecule chemicals to gain an in-depth understanding of biology, and provides new tools and products ranging from basic research to therapeutics. Structural analysis (EN) The aim of this course is to treat three of the major techniques for structural characterization of molecules used in chemistry and chemical engineering: mass spectrometry, NMR, and X-ray techniques. Modeling lab (EN) In this course we give a hands-on introduction on the use of modeling and data in chemistry. After an introduction in the different tools used by computational chemists, we discuss three topics in more detail molecular simulation of adsorption, data in chemistry, and machine learning. Drug discovery and development (EN) This course discusses the molecular basis of diseases and how drugs work. Concepts and processes employed in today’s drug discovery and development are covered. The first part of the course focuses on small molecule drugs and the second one on biotherapeutics. Experimental biochemistry and biophysics (EN) A seven-week laboratory course (4 h+8 h per week) in which students construct, modify and screen microbial sensor strains from defined DNA parts. Proteins are heterologously expressed and purified, then characterized biochemically and spectroscopically. Final reporting in scientific article format. Preparative chemistry II (FR) Advanced chemistry laboratory
Admission to the TP is conditional on the successful completion of 2 of the 3 courses: CH-222 Coordination chemistry, CH-223 Organometallic chemistry, CH-233 Fonctions et réactions organiques Medicinal chemistry (EN) This course introduces medicinal chemistry: how small molecules are designed and optimised to become medicines, covering principles of molecular recognition, pharmacokinetics, and drug design alongside selected therapeutic examples and emerging modalities. Asymmetric synthesis and retrosynthesis (EN) The first part of the course presents the classical methods of asymmetric synthesis. The second part of the course introduces retrosynthesis strategies based on the disconnection approach. Methods in spectroscopy and dynamics (EN) We will review modern technique for the determination of structure and dynamics in chemistry.
Recent developments in spectroscopy as well as methods that target the fundamentals of chemical reactions will be discussed, and applications will be studied. Spectroscopy (EN) Introduction into optical spectroscopy of molecules Experimental physical chemistry (EN) Experiments related to physical chemistry courses. Molecular dynamics and Monte-Carlo simulation (EN) Introduction to molecular dynamics and Monte-Carlo simulation methods. Introduction to cheminformatics (FR) Introduction to the management of chemical information and the main tools used. Introduction to electronic structure methods (EN) Repetition of the basic concepts of quantum mechanics and main numerical algorithms used for practical implementions. Basic principles of electronic structure methods:Hartree-Fock, many body perturbation theory, configuration interaction, coupled-cluster theory, density functional theory. Project of Computational chemistry (FR) This course exploits modern computational tools in a research project aiming at resolving a chemistry problem by group of two students. Automated and data-driven laboratories (EN) In this course, taught by experts from the Swiss CAT+ West Hub, students will be introduced to key concepts in automation and data-driven chemistry. Using real-world cases, students will learn the theoretical skills and practical tools needed to automate a laboratory.
Advanced nuclear magnetic resonance (EN) Principles of Magnetic Resonance Imaging (MRI) and applications to medical imaging. Principles of modern multi-dimensional NMR in liquids and solids. Structure determination of proteins & materials. Measurement of molecular dynamics. Principles of Hyperpolarization Sustainable chemistry and engineering in Industry (EN) In the course given by experts from the Swiss Chemical industry, the students will be introduced in key concepts of sustainable chemistry and chemical engineering of industrial relevance. They will be able to learn from real hands-on problems and to better understand the challenges faced in industry Physical and chemical analyses of materials (EN) This course will cover the fundamentals and practical aspects of advanced material characterization methods, with a focus on inorganic materials. Students will become familiar with spectroscopy and electron microscopy techniques. Nanobiotechnology (EN) This course concerns modern bioanalytical techniques to investigate biomolecules both in vitro and in vivo, including recent methods to image, track and manipulate single molecules. We cover the basic principles of the respective methods and discuss examples from the current scientific literature. Optical methods in chemistry (EN) Introduction and application of photon based tools for chemical sciences: from basic concepts to optical and x-ray lasers
Protein mass spectrometry and proteomics (EN) In systems biology, proteomics represents an essential pillar. The understanding of protein function and regulation provides key information to decipher the complexity of living systems. Proteomic technology now enables deep quantitative proteome mapping via mass spectrometry. Understanding advanced molecular simulation (EN) This course introduces advanced molecular simulation techniques such as Monte Carlo and Molecular dynamics in different ensembles, free energy calculations, rare events, Configurational-bias Monte Carlo etc. Catalysis for energy storage (EN) This course covers the fundamental and applied aspects of electrocatalysis related to renewable energy conversion and storage. The focus is on catalysis for hydrogen evolution, oxygen evolution, and CO2 reduction reactions. Both homogeneous and heterogeneous catalysts are discussed. Catalyst design for synthesis (EN) This course on homogeneous catalysis provide a detailed understanding of how these catalysts work at a mechanistic level and give examples of catalyst design for important reactions (hydrogenation, olefin metathesis, cross-coupling). Supramolecular chemistry (EN) The course provides an introduction to supramolecular chemistry. In addition, current trends are discussed using recent publications in this area. Energy conversion by semiconductor devices (EN) This course aims to present an introduction to the fundamentals of semiconductor physics, photophysics,photoelectrochemistry,and the practical applications. Physical and computational organic chemistry (EN) This course introduces modern computational electronic structure methods and their broad applications to organic chemistry. It also discusses physical organic concepts to illustrate the stability of organic molecules. Brief exposures to data-driven computational chemistry are also proposed. Structure and reactivity (EN) To develop a detailed knowledge of the key steps of advanced modern organic synthesis going beyond classical chemistry of olefins and carbonyls. Asymmetric catalysis for fine chemicals synthesis (EN) The asymmetric synthesis of fine chemicals is a research topic of growing importance for the synthesis of modern materials, drugs and agrochemicals. In this lecture, the concepts of asymmetric catalysis for fine chemical synthesis are introduced. Total synthesis of natural products (EN) Complex polycyclic natural products are chosen to illustrate the evolution of the state-of-the-art of the field, the interplay between strategy and new reactions as well as the importance of implementing multi-bond forming processes in a synthesis. Photochemistry (EN) This course covers the theoretical bases of electronic spectroscopy and molecular photophysics. The principles of the reactivity of excited states of molecules and solids under irradiation are detailed. Finally, the main classes of industrial and natural photo-chemical processes are described. Solid state chemistry and energy applications (EN) You will learn about the bonding and structure of several important families of solid state materials. You will gain insight into common synthetic and characterization methods and learn about the applicability of several classes of materials in energy relevant applications. Computational methods in molecular quantum mechanics (EN) This course will discuss the main methods for the simulation of quantum time dependent properties for molecular systems. Basic notions of density functional theory will be covered. An introduction to simulating nuclear quantum effects for adiabatic and non adiabatic dynamics will be provided. Molecular quantum dynamics (EN) The course covers several exact, approximate, and numerical methods to solve the time-dependent molecular Schrödinger equation, and applications including calculations of molecular electronic spectra. More advanced topics include introduction to the semiclassical methods and Feynman path integral. Methods in drug development (EN) The course discusses methods in modern drug development. Each week, a short introduction to a drug development method / field is provided and a recent research paper is discussed in depth. Students particiate in presenting and discussing the research publications. AI for chemistry (EN) The AI for Chemistry course will focus on teaching students how to use machine learning algorithms and techniques to analyze and make predictions about chemical data. The course will cover topics such as the basics of machine learning, common algorithms and their applications in chemistry. Nanofluidics (EN) This course introduces the modern theoretical tools that underpin the understanding of solid-liquid interfaces and fluid flows through nanometer-scale openings. Sustainable chemicals manufacture: concepts/tools (EN) This course introduces the foundational concepts and tools of Safe and Sustainable by Design (SSbD), a forward-looking framework for the development of future chemicals and materials. It also offers insights into relevant regulatory and industry frameworks at the Swiss, EU, and global levels. Basic and advanced NMR – Level 1 A (EPFL) (EN) Basic theoretical and experimental aspects of NMR will be taught. Students will be familarized with modern NMR spectrometers. Basic and advanced NMR – Level 1 B (Sion) (EN) Basic theoretical and experimental aspects of NMR.
Students will be familarized with modern NMR spectrometers. Basic principles of drug action at the cardiovascular system (EN) The aim of this course is two-fold:
– to describe the molecular properties of some important drug targets
– to illustrate some applications of drugs active at the nervous and cardiovascular systems. Basic principles of drug action at the nervous system (EN) The aim of this course is two-fold:
i) to describe the molecular properties of some important drug targets
ii) to illustrate some applications of drugs active at the nervous system Medicinal chemistry: concepts and case studies from the pharmaceutical industry (EN) We will cover key concepts of Medicinal Chemistry, from identification of active chemical starting points to how they are optimized to deliver drug candidates. We will use real case studies from the pharmaceutical industry. Students will design compounds to solve Medicinal Chemistry problems. Inorganic chemistry “Fundamentals and properties” (EN) To present and discuss important recent contributions in the field of inorganic chemistry with an emphasis on fundamental aspects and properties.Literature seminars based on selected publications,emanating from the last 12 months, preceded by introduction and followed by a group discussion. Inorganic chemistry “Techniques and methods” (EN) To present and discuss important recent contributions in the field of inorganic chemistry incorporating techniques and methods. Student literature seminars based on selected publications,emanating from the last 12 months. Seminar preceded by introduction to the topic followed by group discussion. Efficient Synthetic Routes Towards Bioactive Molecules (EN) Natural Products, Disconnection approach, Synthetic efficiency Synergism between Art of Total Synthesis and High Level Strategic Design (MOM) (EN) Retro-synthessis, Total Synthesis, Atom-economy Chemosensory receptors: Applications for biosensors and medical therapies (EN) The course aims at providing insight into the cellular and molecular basis of smell and taste with specific emphasis on how molecules are detected by these chemosensory systems. Frontiers in Sustainable Chemical Synthesis (EN) The students will become familiar with the most recent progress in sustainable synthetic chemistry, covering a broad rang of topics such as catalysis, heterocyclic chemistry, stereoselective synthesis and new synthetic tools. Drug Discovery (EN) The course gives an overview of drug discovery. Computational methods in drug design and discovery, including methods for free energy and residence time, drug-target interactions, pharmacodynamics, pharmacokinetics, and drug delivery,biophysical methods, interaction including ITC, SPR, MST, and NMR. Principles and Applications of X-ray Diffraction (EN) Basic theoretical aspects of Crystallography and the interaction between X-ray radiation and matter. Experimental aspects of materials-oriented powder and single crystal diffraction. Familiarization with modern X-ray diffractometers. Advanced Solid State and Surface Characterization (EN) State-of-the-art surface/thin film characterization methods of polycrystalline/nano/amorphous materials. Selected topics from X-ray scattering (SAXS/GISAXS, PDF, GIWAXS, HRXRD), electronic and optical spectroscopy (XPS, AES, SERS, TERS), scanning probe and electron microscopy (STM, AFM, HRTEM, SEM). Chemical Probes for Imaging in Biology (EN) The goal of this course is to provide an overview on recent developments in the design and synthesis of fluorescent and bioluminescent probes for applications in basic research and medicine. Through the discussion of recently published advances, general design principles will be reviewed and criteri Chemical Biology Seminar Series 1 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers Chemical Biology Seminar Series 2 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers. Chemical Biology Seminar Series 3 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 8 to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers. Modern Organic chemistry-Highlights in the field (EN) Total synthesis, Natural product, Green chemistry, nantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Modern Organic chemistry-Trends in the field (EN) Total synthesis, Natural product, Green chemistry,Enantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Modern Organic chemistry-Success stories (EN) Total synthesis, Natural product, Green chemistry, nantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Physical Chemistry Seminar 1: Trends (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Physical Chemistry Seminar 2: Highlights (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Physical Chemistry Seminar 3: Frontiers (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Basic and advanced NMR – Level 2 (EPFL) (EN) The goal is to give a sound theoretical and practical foundation in NMR for various applications in research. PhD students and post-docs who have followed the course successfully should be able to perform modern multi-dimensional NMR experiments independently. Inorganic chemistry “Applications and spin-offs” (EN) Present and discuss important recent contributions in the field of inorganic chemistry. This will be achieved by student literature seminars based on selected publications,emanating from the last 12 months. Seminar preceded by an introduction to the topic and followed by a group discussion. Mass spectrometry, principles and applications (EN) The goal is to provide students with a complete overview of the principles and key applications of modern mass spectrometry and meet the current practical demand of EPFL researchers to improve structural analsis of molecules. Numerous instrumental aspects of mass spectrometry are described. Introduction to chemical engineering (EN) Introduction to Chemical Engineering is an introductory course that provides a basic overview of the chemical engineering field. It addresses the formulation and solution of material and energy balances by using the physical/chemical properties of materials. Introduction to chemical engineering Laboratory Works (FR) This course aims to expose the students to basic and modern processes/systems important to chemical engineers. Students perform experiments in groups, analyze results and use these to design industrial scale processes. Written and oral reports and laboratory performance are used for the final mark Introduction to transport phenomena (EN) This course aims at understanding the basic equations behind macroscopic and microscopic transport phenomena (mass, heat and momentum). Energy systems engineering (EN) This course will provide a toolkit to students to understand and analyze sustainable energy systems. In addition, the main sustainable energy technologies will be introduced and their governing principles explained. Chemical engineering practice (FR) This course provides the students with practical experience with simple “unit operations” based on heat and mass transfer . The students develop the ability to scale-up laboratory results into the design of industrial-size components. Fundamentals of separation processes (EN) The course will cover fundamentals concepts of separation processes involving chemical equilibrium and mass transfer. Students will design separation processes widely used in the industry, for the separation of liquid mixtures, gas-liquid mixtures, and gas mixtures. Biochemical engineering (EN) This course introduces the basic principles of bioprocess engineering and highlights the similarities and differences with chemical engineering. Without going into the fundamentals, it proposes an overview of the techniques for fermentation as well as product purification (DownStream Processing) Numerical methods (EN) This course introduces students to modern computational and mathematical techniques for solving problems in chemistry and chemical engineering. The use of introduced numerical methods will be demonstrated using the Python programming language. Bioreactor modeling and simulation (EN) The course of Bioreactor modeling and simulation focuses on the principles of algorithmic design and analysis of
biochemical reactors. The application of these designed reactors would be in the production line of the of
pharmaceutical, biotech and chemical industries. Fluid mechanics and transport phenomena (EN) The concept of Shell balances, the Navier-Stokes equations and generalized differential balances equations for heat and mass transport are derived. These relations are applied to model systems. Integral balances are introduced in the context of boundary layers and transfer coefficients. The engineering of chemical reactions (FR) This course applies concepts from chemical kinetics and mass and energy balances to address chemical reaction engineering problems, with a focus on industrial applications. Students develop the ability to analyze and design chemical reactors of industrial importance.
Diffusion and mass transfer (EN) This course aims to provide an in-depth understanding of diffusion and mass transfer, an essential tool for the
chemical engineers. Heterogeneous reaction engineering (EN) The theoretical background and practical aspects of heterogeneous reactions including the basic knowledge of heterogeneous catalysis are introduced. The fundamentals are given to allow the design of multiphase chemical reactors.
Chemical engineering lab & project (EN) Familiarization with practical aspects encountered in chemical reaction engineering.
A research project is carried out along twelve weeks where a close interaction is required between the different groups.
Catalysis for emission control and energy processes (EN) The course is an introduction to heterogeneous catalysis for environmental protection and energy production. It focuses on catalytic exhaust gas cleaning as well as gaseous and liquid fuel production. The course content is intensified in experimental exercises in the lecturer’s laboratories. Principles and applications of systems biology (EN) The course introduces and develops the key concepts from systems biology and systems engineering in the context of complex biological networks. The lectures elaborate on techniques and methods to model and analyze complex biological problems. Chemical engineering product design (EN) Chemical product design has become more important because of major changes in the chemical industry. This course presents the basic method for chemical product design and gives direct practice to this procedure via a design project. Nanomaterials for chemical engineering application (EN) This course provides an overview on nanoparticle synthesis and their use in different energy-related applications. The first part of the course is more fundamental and chemistry oriented. The second part is more applied and chemical engineering oriented. The goal is to link the two aspects. Modern methods in polymer chemistry and sustainability (EN) This course provides an overview of modern developments in polymer chemistry, building on fundamental concepts introduced in MSE-437. Emphasis is placed on recycling and upcycling strategies for the polymer classes discussed. Biotechnology lab (for CGC) (EN) This laboratory-training course is designed to give students a comprehensive insight into laboratory research techniques in the field of biotechnology and pharmaceutical biotechnology with practices employed in the industry. Accompanying lectures provide the theoretical background.
Pharmaceutical biotechnology (EN) The course focuses on the development and application of biotechnology-based approaches to human diseases. It provides current information on the engineering and pharmaceutical production of highly specific therapeutic proteins, vaccines, and other important biologicals at an industrial scale. Bioprocesses and downstream processing (EN) This course aims at a more advanced coverage of the basic aspects discussed in module ChE-311. It is however of a stand-alone nature, and even students who have little knowledge on – but a keen interest in – (bio)process engineering shall benefit as well from this module. Process development (EN) Through a project, this course will introduce the critical steps in developing a chemical process in the context of industry decarbonisation, from the lab to industrial scale. Hands-on with Research Data Management in Chemistry (EN) PhD students in Chemistry will learn hands-on Research Data Management (RDM) skills transferable to their research practices. They will
contextualize their research into RDM best practices (day 1), discover appropriate tools (day 2) and work on a project (day 3) for the course
accreditation Automated analytical and synthetic chemistry 1 (EN) The course gives a general understanding of lab automation theory and practical knowledge. It is structured to integrate theoretical foundations, hands-on practical exercises (e.g., Arduino programming), and individualized project analysis. AI in chemistry and beyond:Highlights in the field (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based
algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential
of these methods and their applications AI in chemistry and beyond: Trends in the field (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential of these methods and their applications. AI in chemistry and beyond: Success stories (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential
of these methods and their applications. Highlights energy research and chemical engineering 1 (EN) Synthesis and design of materials for sustainable energ.This seminar series will invite leading researchers from academia, industry, or government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the performance metrics of material. Highlights energy research and chemical engineering 2 (EN) Synthesis and design of materials for sustainable energy.This seminar series will invite leading researchers from academia, industry, or
government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the
performance metrics of material Highlights energy research and chemical engineering 3 (EN) Synthesis and design of materials for sustainable energ.This seminar series will invite leading researchers from academia, industry, or government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the performance metrics of material. Electron & energy transfer in organic & hybrid systems (EN) Electron and energy transfer processes are vital to biological functions. In synthetic molecular and hybrid systems, they are key to device efficiency. Advances in understanding and control of these processes continue to drive innovation across scientific and technological fields. Statics (for GC) (FR) The aim of this course is to develop an understanding of static models of structures. It presents the study of the interplay of forces in isostatic constructions made up of bars, beams and cables. Programming and software development for engineers (EN) Python programming course to advance students’ existing programming skills and help write better software. The course will teach best practices and techniques such as refactoring, debugging, and unit testing. Introduction to structures (FR) This course presents the fundamental principles of structural behaviour: transmissioon of loads and forces through structural systemsâcables, arches, trusses, beams, and framesâand the concepts of equilibrium, stability, and siizing. Objective: understand link between forms, forces and materials Soil mechanics and flow through porous media (EN) The course introduces students to the fundamentals of the mechanics of soils and fluid-infiltrated
porous media. The first part is devoted to the constitutive behavior of soils in
dry conditions, while the second part accounts for the presence of pore water. Fluids mechanics (For GC) (FR) This course is an introduction to fluid mechanics. Physical properties of fluids and the conservation principles (mass and momentum) are presented. The second part of the course is devoted to applications to open-channel hydraulics and pipeline flows. Geology (FR) Civil engineers conduct their activities in constant interaction with the subsurface. The geology course provides students with the fundamental Geoscience knowledge necessary for well-integrated engineering within the context of our planet. Continuum mechanics (for GC) (FR) This fundamental class covers the notions of deformation and stress, as well as general conservation principles, equilibrium equations and constitutive laws. In the second part we will highlight applications in structural mechanics and introduce approximate methods. Introduction to machine learning for engineers (EN) Machine learning is a sub-field of Artificial Intelligence that allows computers to learn from data, identify patterns and make predictions. As a fundamental building block of the Computational Thinking education at EPFL, Civil students will learn ML with civil case studies (summary generated by ML) Design of steel structures (FR) This course deals with the fondamental and practical aspects of steel structures design. This includes the design of beams, columns, connections, frames, structural systems and stability problems. Structural mechanics (for GC) (EN) The course discusses the basic principles of structural mechanics, analyzing the performance of materials and structures against loading and focuses on the stress strain relationships and the effect of axial, bending, shear and torsional loadings on engineer structures. Structural Safety and Reliability (EN) The course introduces key concepts of structural safety and reliability, covering probability fundamentals, verification methods, structural actions, and time-dependent effects. Case studies link theoretical principles to reliable civil engineering design. Geotechnical engineering (FR) Students know the different types of geotechnical structure (foundation, retaining walls etc,) their design and construction techniques.
They are able to determine the different factors controlling the realisation of a geotechnical structure, and design these structures to satisfy the limit states. Numerical representation / BIM (FR) This course introduces the principles of the digital representation of structures in a BIM environment. It addresses the analysis, structuring, and use of the information contained in a digital building model. Rock mechanics (FR) The students understand the mechanical behaviour of rock materials, joints and rock masses, and are able to determine the factors conditioning civil engineering applications. They are able to use appropriate methods for carrying out analysis and design of tunnel excavation and support. Urban thermodynamics (EN) Urban neighborhoods are analyzed thermodynamically: heat exchange between buildings, vegetation, water, the ground, and people. Using CityTherm, the course’s own interactive web tool, students diagnose the Urban Heat Island effect, the role of urban form and materials, and mitigation strategies. Hydraulic Analysis and Design (EN) Water is vital for life but also a powerful natural force. Hydraulic engineering addresses the sustainable management of water for reliable supply, renewable energy, and protection from hazards. Introducing to the fundamentals of hydraulic analysis and the design of key hydraulic structures. Numerical modelling of solids and structures (FR) The numerical modeling of solids is presented with the finite element method. The purely analytical aspects are presented first, followed by the methods of interpolation, integration, and resolution of mechanical problems. Reinforced concrete structures (EN) This course introduces the student to the behaviour and design of reinforced concrete structures. The student will learn the principles of analysis of reinforced concrete and how to design common concrete elements including columns, beams, and slabs. Urban public transport systems (EN) An introduction to urban public transport systems. The lectures cover the planning, operation, and management problems of different types of public transport services, along with assignments strengthening the understanding of base models and the group project tackling real-world problems. Dimensioning of Timber structures (FR) This course will master the fundamental and practical aspects of the design of timber structures. It deals with beams, columns, assemblies, structural systems and stability problems. Data Science for infrastructure condition monitoring (EN) The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real data, feature engineering to developing suitable machine learning algorithms. Traffic engineering (EN) Introduce the major elements of transportation systems and traffic engineering: develop analytical and technical skills in applying the fundamentals of the transport field; understand the key concepts and physics of the transport phenomena;connect with real transportation problems and data analytics Introduction to transportation systems (EN) The course provides an introduction to the design and analysis of transportation systems for the mobility of people and goods. Construction contracts and liability (FR) This course provides future civil engineers at EPFL with the basic knowledge and skills in public law required to collaborate in the design and implementation of infrastructure and large-scale projects, particularly energy projects. Geomechanics (EN) The course covers engineering applications and challenges in geomechanics, including stress-strain behavior of geomaterials in variousconditions, triaxial testing,and constitutive frameworks for elasticity and plasticity.Practical insights are gained through workshops with geomechanics professionals Underground construction (EN) This course is addressed to students who want to deepen their knowledge of underground space and works, including planning, design and management, construction techniques and methods, risk assessment and environmental considerations. Energy and comfort in buildings (EN) The course presents the fundamentals of energy demand in buildings while emphasizing the need for the comfort and well-being of occupants. In addition, prioritizations and trade-offs between energy and comfort are discussed. Multiscale modelling in mechanics (EN) This course introduces the principles and techniques for modeling materials across
different spatial scales, from the level of atoms or grains to the continuum or structural
scale. Emphasis is placed on hierarchical upscaling (homogenization), while concurrent
techniques are also covered. Fluvial hydraulics and river engineering (EN) The course provides core principles of river engineering for planning and designing restoration and flood-protection measures, focusing on sediment transport, hydro-morphodynamics, flood hazard assessment, and common river-engineering structures. Dam engineering (EN) Dams are paramount for human development around the world. The course is an introduction to the fascinating domain of dam engineering, from design to construction, for water storage and regulated supply, including for renewable energy generation (hydropower), flood protection and drought prevention. Urban hydraulic systems (EN) Sustainable freshwater and urban drainage system are considered.
Fresh water: capture, reservoir and net.
Drainage: hydrology, sponge city, individual conduit and manhole hydraulics.
The integral rain water management and the legal frame are further key elements Design of precast concrete structures (EN) The course deals with the design of precast reinforced concrete structures, both for bridges and for buildings.
The course is focused in learning by projects supplemented by some lectures by the teachers.
The students will work in groups to design a precast structure. Future Urban Mobility Systems (EN) This course introduces future urban mobility systems from a data-driven perspective, covering mobility data ecosystems, sensing technologies, information extraction, traffic state and performance analysis, forecasting, control, active sensing, digital twins, and emerging smart-mobility applications. Computational geomechanics (EN) The goal of this course is to introduce the student to modern numerical methods for the solution of coupled & non-linear problems arising in geo-mechanics / geotechnical engineering. Innovation for construction and the environment (EN) The course delves into how innovation in construction, seen as an engineering process, progresses through steps and stages. It focuses on three main areas: (1) introducing new materials, (2) integrating digital systems, and (3) measuring sustainability and environmental impact. We’ll explore how Machine learning for predictive maintenance applications (EN) The course aims to develop machine learning algorithms capable of efficiently detecting faults in complex industrial and infrastructure assets, isolating their root causes, and ultimately predicting their remaining useful lifetime. Timber construction (EN) Help students understand and design innovative, architecturally and structurally interesting wood constructions. Deepen technical knowledge through the study of built examples. Risk analysis and management (FR) The course aims to train students in methods and tools allowing them to understand the issue of analysis and management of technological and natural risks in a well-founded and scientific manner, with attention paid to the field of Civil Engineering. Advanced composites in engineering structures (EN) 1.Introduce topics in properties, processing, mechanical behavior, characterization, analysis and structural design of Fiber Reinforced Composites
2.Help students develop their research skills through independent investigations on research topics Energy geostructures (EN) Energy geostructures are a technology that couples the structural role of foundations with the heating/cooling role of
geothermal heat exchangers. The goal of the course is to provide an understanding of the structural, geotechnical
and energy behaviour. Nonlinear analysis of structures (EN) This course deals with nonlinear modelling of structures under mechanical loading. Thermodynamics of comfort in buildings (EN) This course takes an experimental, human-centric approach to thermal comfort. Through laboratory measurements and thermodynamic analysis, students characterize the indoor thermal environment and its coupling with human thermoregulation, informing occupant-centered building design. Mobility engineering (FR) Analyze and diagnose a situation from the urban planning and mobility points of view. Define strategies for achieving these objectives. Development of the most promising concepts. Fundamentals of traffic operations and control (EN) The objectives of this course are to present the major elements of traffic operations and to develop basic skills in applying the fundamentals of traffic analysis and control. Students should be able to start applying these skills to model different aspects of congestion in urban systems. Indoor air quality and ventilation (EN) This course covers the fundamentals of indoor air quality and ventilation strategies for optimal building air quality. Through lectures, discussions, modeling software, a hands-on group project, students explore indoor air pollutants, their properties, emission sources, and control mechanisms. Design and construction of roadways (FR) This course provides students with a thorough understanding of the principles and fundamentals of transportation route design (road and rail infrastructure). It covers the fundamentals of project planning, geometry, traffic safety, materials used, construction techniques, and the sizing of structura Design and innovation (EN) The course offers the opportunity to gain practical experience in the characterization of fiber reinforced polymer and manufacturing/production methods for composite structures.
The material is presented by lectures and visits to the laboratory. This is mainly a project based – hands on course. Water resources engineering and management (EN) The course focuses on designing and managing water systems to ensure sustainable use for both human and environmental needs. Engineering aspects:water quantity, quality, timing, distribution. Management: economic evaluation of water systems in the context of global changes and financial constraints. Dynamics of structures (EN) Dynamics loads on structures, equations of motion of linear single- and multiple-degree-of freedom systems; free an forced vibrations; damping in structures: modal superposition and response history analysis, earthquake effects Hydropower schemes and pumped-storage (EN) The course deals with the conception and design of hydraulic structures used for production and/or storage of electric energy, including pumped hydro energy storage (PHES).
We also discuss their technical/social/economical/environmental feasibility in the Swiss/European/Global energy transition. Transportation network modeling & analysis (EN) This course introduces the classics and new advances in transportation network modeling and optimization. The course cover key concepts, behavioral principles, model formulations and solution approached used in traffic assignment and travel demand management. Design and assessment of concrete bridges (EN) The course focuses on the conceptual and detailed design of reinforced and prestressed concrete bridges. The first part covers the history and provides an introduction to bridge engineering. The second part covers the detailed design of the superstructure and substructure of bridges. Design of steel-concrete composite bridges (EN) Design and analysis of steel and steel-concrete composite bridges; Railway and Pedestrian bridges; arch bridges; Shear resistance and resistance against combined loads; Fatigue design; Stability of members; Composite and Long term effects; Corrosion protection; Weathering steels and coatings Sustainable bituminous materials (EN) The course covers materials and technologies for sustainable asphalt pavements, including asphalt design, recycling, as well as recent innovations like carbon-negative and low-temperature asphalt. Students gain skills to evaluate these solutions and oversee their implementation. Integrated Decision-Making for Buildings (EN) This course addresses low-carbon buildings as a problem of integrated decision-making. Through cases, debates, and decision exercises, students learn to justify decisions at the energy-material nexus, navigating trade-offs, uncertainty, and competing technical, economic, and societal objectives. Rock mass characterization for engineering design (EN) This course advances geomechanics knowledge, focusing on lab tests, in situ & geophysical investigations for interpreting geotechnical projects. Practical modules cover rock physics, mechanics, borehole & subsurface geophysics. Analysis of hyperstatic structures (EN) This course provides the foundation for understanding how hyperstatic structures deform and carry loads under a variety of loading conditions. Beyond analytical methods, it emphasizes the development of physical intuition of internal force distributions and verification on numerical results. Engineering of existing structures (EN) The engineering of existing structures encompasses the examination of condition and load-carrying capacity, decision criteria, and methods for rehabilitation or strengthening. This course presents the bases necessary for this approach at the level of materials and structural response. Reinforced concrete structures – advanced topics (EN) This course will focus on advanced behavioural modelling of reinforced concrete through analytical and numerical methods. It will build on previous studies to further the student’s understanding of the mechanics of reinforced concrete at the material, element, and structure level. Flood and dam break waves (FR) The course provides computational methods for unsteady flow problems such as floods, waves, and dam failures. The emphasis is on the physical understanding of the phenomena, the governing equations (Saint-Venant equations) and aspects related to engineering practice. Seismic engineering (EN) This course deals with the main aspects of seismic design and assessment of buildings including conceptual design. It covers different structural design and evaluation philosophies for new and existing reinforced concrete, steel and unreinforced masonry buildings. Steel structures, selected topics (EN) Design and dimensioning of load-bearing structures using structural steel, with emphasis on the specific methods related to steel-concrete composite elements (for buildings and bridges), fatigue (bridges) and fire (buildings). Slope stability (EN) The course aims at providing future civil engineers with a comprehensive view on soil slope stability. It addresses landslide types and mass movement classification; slope failure mechanisms and methods for slope stability analysis are discussed; remedial measures and risk analysis are presented. Materials and structures (EN) Starting with basic knowledge of concrete technology, this course provides an understanding of the relationships between the composition, processing, microstructure and structural properties of “new concretes”, with a particular focus on Ultra High Performance Fiber Concretes (UHPFRC).
Computational systems thinking for sustainable eng. (EN) This course integrates systems thinking and network analysis through theory and computing. The objective of this course is to develop expertise in computationally analyzing and modeling complex systems in civil and urban systems engineering, with a particular emphasis on advancing sustainability. Decision-aid methodologies in transportation (EN) The course has two modules, the first Operations Research (OR), and the second is statistical modeling of transportation systems. Students will be modeling applied problems and developing solution methods and modelling of driver behavior for decision support in transportation. Inference for large-scale time series with application to sensor fusion (EN) Large-scale time series analysis is performed by a new statistical tool that is superior to other estimators of complex state-space models. The identified stochastic dependences can be used for sensor fusion by Bayesian (e.g. Kalman) filtering or for studying changes in natural/biological phenomena. Communication for Research Engineers (EN) Communication proficiency is one of the most important results of a good PhD and postdoc experience and it is valued
equally in academia and in industry. EPFL PhD students and postdocs are expected to have excellent written, oral and
graphic skills in order to transmit their ideas effectively. Research skills in the Open Science Era (EN) Research Skills in the Open Science Era is a course designed to explore the landscape of modern research tools and practices. You will gain insights into principles of open science, smart information retrieval, ethical publishing, coding best practices, and comprehensive research data management. Frontiers of Deep Learning for Engineers (EN) The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research of the Ph.D. student. Selected Topics on Advanced Composites in Engineering Structures (EN) The course presents investigations into composite materials’ fatigue and fracture, including bonding and reinforcement. Students learn about failure, degradation mechanisms, and analytical and design concepts following current international standards for addressing realistic loading conditions. New Concretes for Structures (EN) This course provides an in-depth coverage of mechanical and physical properties of Ultra High Performance Fiber Reinforced Concretes (UHPFRC), in the framework of new concretes for sustainable structures. It provides an extended and comprehensive insight on these materials. Performance-based earthquake engineering (EN) Quantitative decision making based on life-cycle considerations that incorporate direct losses, seismic risk assessment, and collapse. Seismic hazard analysis, response simulation, damage and loss estimation, collapse prediction. Case studies. Advanced information, computation, communication II (EN) Text, sound, and images are examples of information sources stored in our computers and/or communicated over the Internet. How do we measure, compress, and protect the informatin they contain? Project oriented programming (FR) This course focuses on the complementary features of the C++ language that allow to design robust modular applications (principle of separation of concerns). The practice dimension is deemed particularly important ; for this reason a significant time is devoted to a project. Signal processing (EN) Signal processing theory and applications: discrete and continuous time signals; Fourier analysis, DFT, DTFT,
CTFT, FFT, STFT; linear time invariant systems; filter design and adaptive filtering; sampling; interpolation
and quantization; image processing, data communication and control systems. Stochastic models in communication (FR) The goal of this class is to acquire a working knowledge of the tools of random processes used by an engineer in communication, data science and computer science. Computer security and privacy (EN) This is an introductory course to computer security and privacy. Its goal is to provide students with means to reason about security and privacy problems, and provide them with tools to confront them. Principles of digital communications (EN) This course is on the foundations of digital communication. The focus is on the transmission problem (rather than being on source coding). Intelligent systems: communications & AI (EN) The course teaches the development of systems that solve real-world challenges in signal processing, foundation models, and AI. Students will work in teams, construct their ideas, and either program available hardware prototypes or build their hardware or software system. Internet analytics (EN) Internet analytics is the collection, modeling, and analysis of user data in large-scale online services, such as social networking, e-commerce, search, and advertisement. This class explores a number of the key functions of such online services that have become ubiquitous over the past decade. Introduction to quantum information processing (EN) Information is processed in physical devices. In the quantum regime the concept of classical bit is replaced by the quantum bit. We introduce quantum principles, and then quantum communications, key distribution, quantum entropy, and spin dynamics. No prior knowledge of quantum physics is required. Cryptography and security (EN) This course introduces the basics of cryptography. We review several types of cryptographic primitives, when it is safe to use them and how to select the appropriate security parameters. We detail how they work and sketch how they can be implemented. Information theory and coding (EN) The mathematical principles of communication that govern the compression and transmission of data and the design of efficient methods of doing so. Mobile networks (EN) This course provides a detailed description of the organization and operating principles of mobile and wireless communication networks, as well as the use of wireless signals for sensing and imaging. Foundations of Data Science (EN) We discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introduction ML course. In particular we discuss fundamentals ideas and techniques that come from probability, information theory as well as signal processing. Advanced networks (EN) This advanced course in computer networks offers an in-depth exploration of how the Internet is designed and operates. Students dive into the architecture of the Internet and gain hands-on understanding of the key protocols that power it. Advanced probability and applications (EN) In this course, various aspects of probability theory are considered. The first part covers the main theorems in the field (law of large numbers, central limit theorem), while the second part focuses on the theory of martingales and concentration inequalities. Introduction to quantum cryptography (EN) This course describes, at a rigorous mathematical level, a range of such tasks, each time identifying the fundamental property of quantum information that makes it possible, its strengths, and its limits. Data visualization (EN) Understanding why and how to present complex data interactively in an effective manner has become a crucial skill for any data scientist. In this course, you will learn how to design, judge, build and present your own interactive data visualizations. Large-scale data science for real-world data (EN) This hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insights, applied to real-world problems. Advanced cryptography (EN) This course reviews some failure cases in public-key cryptography. It introduces some cryptanalysis techniques. It also presents fundamentals in cryptography such as interactive proofs. Finally, it presents some techniques to validate the security of cryptographic primitives. Dynamical system theory for engineers (EN) Linear and nonlinear dynamical systems are found in all fields of science and engineering. After a short review of linear system theory, the class will explain and develop the main tools for the qualitative analysis of nonlinear systems, both in discrete-time and continuous-time. Seminar on applied cryptography (EN) This seminar introduces the participants to the current trends, problems, and methods in the area of communication security. Advanced Topics in Information Theory (EN) The class will focus on information-theoretic progress of the last decade. Topics include: Network Information Theory ; Information Measures: definitions, properties, and applications to probabilistic models. Advanced information, computation, communication I (EN) Discrete mathematics is a discipline with applications to almost all areas of study. It provides a set of indispensable tools to computer science in particular. This course reviews (familiar) topics as diverse as mathematical reasoning, combinatorics, discrete structures & algorithmic thinking. Introduction to programming (FR) This course presents the fundamentals of programming and object-oriented programming (using the Java language). It also gives an introduction to a computer development environment (by default on Linux). Practice of object-oriented programming (FR) Students improve their knowledge of Java and put it into practice by implementing a sizeable project. They learn how to use and implement the most common type of collections (lists, sets and maps) and look at a few design patterns. Object oriented programming (FR) C++ Object-Oriented Programming Object oriented programming (FR) The fundamentals of procedural programming will be complemented with more advanced features. Emphasis will be put on object-oriented concepts, for a better reliability and reusability of programs.
This course will also present some algorithmic fundamental concept. Information, Computation, Communication (FR) On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming is given. Information, Computation, Communication (FR) The goal is this course is to introduce students to computational thinking, to present fondamental ideas of computer science and to develop their first programming skills (C++ language). Information, Computation, Communication (FR) This course is an introduction to computational thinking and computer science fundamentals as well as C++ programming basics.
Information, Computation, Communication (FR) The objective of this course is to introduce students to algorithmic thinking, to familiarize them with the fundamentals of computer and communications sciences and to develop their first programming skills (in C++). Information, Computation, Communication (FR) The course objectives are to introduce the students to algorithmic thinking, to get them familiar with the foundations of communication and computer sciences and to develop a first set of skills in programming with the Python language. Information, Computation, Communication (FR) On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming in Python is given. Information, Computation, Communication (FR) This course is an introduction to computational thinking and computer science fundamentals as well as C++ programming basics.
Software development (FR) This course deepens the programming abilities introduced during the ICC course of the first semester. It focuses on the design and specification of programs (in Python) using the “object-oriented” approach, while building a small application as a project by pair of students. Fundamentals of digital systems (EN) Welcome to the introductory course in digital design and computer architecture. In this course, we will embark on a journey into the world of digital systems, exploring the fundamental principles and concepts that underpin modern computing technology. Computer architecture (EN) This course completes the overview of computer architecture started on the first year (CS-173 DSD). Computer systems (EN) This course will teach operating systems and networks in an integrated fashion,emphasising the fundamental concepts and techniques that make their interaction possible/practical. Core lectures will be coupled with C programming lectures and assignments for hands-on experience. Human-computer interaction (EN) This course introduces core ideas and methods in the interdisciplinary field of Human-Computer Interaction (HCI). We will explore how we can design human-centered systems that are useful, usable, and beneficial to people in real-world contexts. Software construction (EN) Learn how to design and implement reliable, maintainable, and efficient software using a mix of programming skills (declarative style, higher-order functions, inductive types, parallelism) and
fundamental software construction concepts (reusability, abstraction, encapsulation, composition, proofs) Introduction to machine learning (EN) Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. Technologies for democratic society (EN) This course will offer students a broad but hands-on introduction to technologies of human self-organization. Algorithms I (EN) The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, sorting and searching, and graph algorithms. Theory of computation (EN) This course constitutes an introduction to theory of computation. It discusses the basic theoretical models of computing (finite automata, Turing machine), as well as, provides a solid and mathematically precise understanding of their fundamental capabilities and limitations. Responsible software (EN) Software’s growing importance increases engineers’ responsibility to integrate ethical concerns in the design and development process. This course teaches students concrete strategies for responsible software engineering, focusing on identifying ethical issues and mitigating risks to minimize harms. Data-intensive systems (EN) This course covers the data management system design concepts using a hands-on approach.
Parallelism and concurrency in software (EN) From sensors,to smart phones,to the world’s largest datacenters and supercomputers, parallelism & concurrency is ubiquitous in modern computing.There are also many forms of parallel & concurrent execution in modern platforms with varying degrees of ease of programmability,performance & efficiency. Principles of online decision-making (EN) This course provides a mathematical treatment of online decision-making. It covers bandits (multi-armed, contextual, structured), Markov Decision Processes (MDPs), and related topics. Key concepts include exploration-exploitation, UCB, Thompson sampling, and tools to derive regret bounds. Introduction to quantum computation (EN) The course introduces the paradigm of quantum computating in an axiomatic way. We introduce the notions of quantum bits, gates, and circuits. We introduce themost important quantum algorithms. We also touch upon error-correcting codes. This course is independent of COM-309. The software enterprise – from ideas to products (EN) The course teaches the journey that software teams take from nascent ideas to products that solve real problems for real people, in an era where AI agents perform much of the implementation, and the engineer’s craft increasingly centers on specifying, directing, reviewing, and validating their work. Computer language processing (EN) We teach the fundamental aspects of provably correct analysis and interpretation of computer languages, including the techniques to build compilers and to demonstrate correctness of key compiler phases. The course may require presence in many weeks due to in-class examinations. Numerical methods for visual computing and ML (EN) Visual computing and machine learning are characterized by their reliance on numerical algorithms to process large amounts of information such as images, shapes, and 3D volumes. This course will familiarize students with a range of essential numerical tools to solve practical problems in this area. Computer graphics (EN) The students study and apply fundamental concepts and algorithms of computer graphics for rendering, geometry
synthesis, and animation. They design and implement their own interactive graphics programs. Making intelligent things A (EN) The course aims at teaching the prototyping of intelligent physical artifacts. It aims to solve real-world challenges by a
combination of microcontroller programming, electronics, and computer -aided design and manufacturing. Student teams
choose their own challeng in consultation with the teachers. Making intelligent things B (EN) The course aims at teaching the prototyping of intelligent physical artifacts. It aims to solve real-world challenges by a
combination of microcontroller programming, electronics, and computer -aided design and manufacturing. Student teams
choose their own challeng in consultation with the teachers. Applied data analysis (EN) This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) Digital education (EN) This course addresses the relationship between specific technological features and the learners’ cognitive processes. It also covers the methods and results of empirical studies: do student actually learn due to technologies? This iteration will also have a focus on AI for teaching and learning. Software security (EN) This course focuses on software security fundamentals, secure coding guidelines and principles, and advanced software
security concepts. Students learn to assess and understand threats, learn how to design and implement secure software
systems, and get hands-on experience with security pitfalls. Advanced compiler construction (EN) Students learn several implementation techniques for modern functional and object-oriented programming languages. They put some of them into practice by developing key parts of a compiler and run time system for a simple functional programming language. Machine learning for behavioral data (EN) Computer environments such as educational games, interactive simulations, and web services provide large amounts of data, which can be analyzed and serve as a basis for adaptation. This course will cover the core methods of user modeling and personalization, with a focus on educational data. Interactive theorem proving (EN) A hands-on introduction to interactive theorem proving, computer-checked mathematics, compiler verification, proofs as programs, dependent types, and proof automation.
Come learn how to write computer-checked proofs and certified bug-free code! Machine learning (EN) Machine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. Decentralized systems engineering (EN) A decentralized system is one that works when no single party is in charge or fully trusted. This course teaches decentralized systems principles while guiding students through the engineering of their own decentralized system featuring messaging, file sharing, encryption, and blockchain concepts. Optimization for machine learning (EN) This course teaches an overview of modern optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be discussed in theory and in implementation. Advanced computer graphics (EN) This course covers advanced 3D graphics techniques for realistic image synthesis. Students will learn how light interacts with objects in our world, and how to recreate these phenomena in a computer simulation to create synthetic images that are indistinguishable from photographs. Computer vision (EN) Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors.
We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their field of applicability. Sublinear algorithms for big data analysis (EN) In this course we will define rigorous mathematical models for computing on large datasets, cover main algorithmic techniques that have been developed for sublinear (e.g. faster than linear time) data processing. We will also discuss limitations inherent to computing with constrained resources. Algorithms II (EN) The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, sorting and searching, and graph algorithms. Distributed algorithms (EN) Computing is nowadays distributed over several machines, in a local IP-like network, a cloud or a P2P network. Failures are common and computations need to proceed despite partial failures of machines or communication links. This course will study the foundations of reliable distributed computing. Concurrent computing (EN) With the advent of modern architectures, it becomes crucial to master the underlying algorithmics of concurrency. The objective of this course is to study the foundations of concurrent algorithms and in particular the techniques that enable the construction of robust such algorithms. Topics in theoretical computer science (EN) The students gain an in-depth knowledge of several current and emerging areas of theoretical computer science. The course familiarizes them with advanced techniques, and develops an understanding of fundamental questions that underlie some of the key problems of modern computer science.
Geometric computing (EN) This course will cover mathematical concepts and efficient numerical methods for geometric computing. We will explore the beauty of geometry and develop algorithms to simulate and optimize 2D and 3D geometric models with an emphasis towards computational design for digital fabrication. Systems for data management and data science (EN) This is a course for students who want to understand modern large-scale data analysis systems and database systems. The course covers fundamental principles for understanding and building systems for managing and analyzing large amounts of data. It covers a wide range of topics and technologies. Foundation models and generative AI (EN) This course covers the principles, architectures, and applications of foundation models and generative AI, including generative methods, tokenization, multi-modal learning, adaptation, prompting, and their use in reasoning, decision-making, and scientific domains. Programming language foundations (EN) This course provides an introduction to the theory of programming languages, with an emphasis on language design and formal semantics. Hardware-software co-design (EN) This course offers a deep dive into the architecture and programming of modern computing systems, moving beyond general-purpose CPUs to explore how hardware and software are co-designed for maximum efficiency. Human-centered security and privacy (EN) Safeguarding security, privacy, and online safety are critical sociotechnical challenges that require integrating computing and social science. This course introduces fundamentals of human-centered computer security and privacy while drawing on novel research about emerging threats to online safety. AI for global health (EN) This course teaches students to design, build and rigorously evaluate trustworthy, representative and contextually appropriate AI systems for high-stakes decision-making in global health and humanitarian response. Advanced computer architecture (EN) This course explores techniques for exploiting instruction-level parallelism both statically and dynamically. It also addresses the generation of hardware accelerators from programming languages and investigates security issues related to microarchitectural features, including side-channel attacks. Advanced multiprocessor architecture (EN) Multiprocessors are basic building blocks for all computer systems. This course covers the architecture and organization of modern multiprocessors, prevalent accelerators (e.g., GPU, TPU), and datacenters. It includes a research project on multiprocessors and post-Moore era datacenters. Design technologies for integrated systems (EN) Hardware compilation is the process of transforming specialized hardware description languages into circuit descriptions, which are iteratively refined, detailed and optimized. The course presents algorithms, tools and methods for hardware compilation and logic synthesis. System programming for Systems-on-chip (EN) To efficiently program embedded systems an understanding of their architectures is required. After following this course students will be able to take an existing SoC, understand its architecture, and efficiently program it. Embedded system design (EN) Hardware-software co-design is a well known concept in embedded system design.It is also a concept required in designing FPGA-accelerators in data-centers.This course teaches how to transform algorithms in smart hardware-software solutions. Advanced operating systems (EN) This course teaches the design and implementation of modern operating systems through the lens of the Linux kernel. Using an extensive hands-on approach, students study how classical OS principles are realized in a production kernel and explore new design ideas proposed over the past two decades.
Brain-style learning in neural networks (EN) Full title : Brain-style learning in Neural Networks: Learning algorithms of the brain. Biological brains show powerful learning without BackProp, how? By a smart combination of Reinforcement Learning and Self-supervised learning with local learning rules at the connections (synapses). Experience design (EN) As we move towards an AI economy, the success of new products, systems and services depend increasingly on the excellence of personal experience. This course introduces students to the notion and practice of experience design following a hands-on, studio-based approach. AI product management (EN) The course focuses on the development of real-word AI/ML products. It is intended for students who have acquired a theoretical background in AI/ML and are interested in applying that toward developing AI/ML-oriented products. Deep learning in biomedicine (EN) Deep learning offers potential to transform biomedical research. In this course, we will cover recent deep learning methods and learn how to apply these methods to problems in biomedical domain. Visual intelligence (EN) This course covers both classic concepts and recent advances in computer vision and machine learning for processing visual data — with a primary focus on embodied intelligence and multimodal learning Principles of computer systems (EN) This advanced graduate course teaches the key design principles underlying successful computer and communication systems, and shows how to solve real problems with ideas, techniques, and algorithms from operating systems, networks, databases, programming languages, and computer architecture. Computational complexity (EN) In computational complexity we study the computational resources needed to solve problems and understand the relation between different types of computation.
This course advances the students knowledge of computational complexity, and develop an understanding of fundamental open questions. Formal verification (EN) We introduce formal verification as an approach for developing highly reliable systems. Formal verification finds proofs that computer systems work under all relevant scenarios. We will learn how to use formal verification tools and explain the theory and the practice behind them. Modern natural language processing (EN) Natural language processing is ubiquitous in modern intelligent technologies, serving as a foundation for language translators, virtual assistants, search engines, and many more. In this course, students will learn algorithmic tools for tackling problems in modern NLP. Topics in Natural Language Processing (EN) This seminar course explores advanced topics in natural language processing through a mix of reading, reviewing, and writing academic papers.
Agentic-Systems Security (EN) This is a seminar course where we will read a selection of papers covering the topic of AI agent security. The goal is to discuss the published approaches and to compare them with each other. This should give a good foundation for students who want to continue working in the area. Transfer learning and meta-learning (EN) This seminar course covers principles and recent advancements in machine learning methods that have the ability to solve multiple tasks and generalize to new domains in which training and test distributions are different. Constructive Computer Architecture (EN) Beginning with a basic pipeline processor, student will learn to implement intriguing architectural techinques through a series of labs. The class will emphasize the implementation, debugging, and analysis of varoius advanced computer architecture techniques.
Fault-tolerant quantum computing (EN) The course explains how to execute scalable algorithms on fault-tolerant quantum computers. It describes error correction used to build reliable logical operations from noisy physical operations, and how quantum programs are mapped into logical operations sets taking into account layout constraints. Interactive Theorem Proving Project (EN) A project-focused introduction to interactive theorem proving. Topics in Machine Learning for Education (EN) This seminar course covers the interdisciplinary field of machine learning for education. By reading, reviewing, and presenting research papers from recent venues, students will become familiar with core issues and techniques in the field Topics in Machine Learning Systems (EN) This course will cover the latest technologies, platforms and research contributions in the area of machine learning systems. The students
will read, review and present papers from recent venues across the systems for ML spectrum. Topics in Computational Social Science (TopiCSS) (EN) This is a seminar course. By reading and discussing an introductory book as well as research papers about computational social science, students will become familiar with core issues and techniques in the field. Topics on Datacenter Design (EN) Modern datacenters with thousands of servers and multi-megawatt power budgets form the backbone of our digital universe. ln this course, we will survey a broad and comprehensive spectrum of datacenter design topics from workloads, to server architecture and infrastructure. Evolutionary Computation: Methods and Algorithms (EN) This course introduces Evolutionary Computation, machine-learning methods inspired by natural evolution for solving non-differentiable and ill-defined problems. Students learn the theory, main algorithms, and applications to neural networks and robotics, and apply them to a project of their choice. Historical Document and Media Processing (EN) This course introduces historical document processing, focusing on concepts and methods that enable the transformation of digitised materials into structured and searchable data. Grounded in machine learning and document processing, it also covers data curation and copyright considerations. Digital musicology (EN) This course will introduce students to the central topics in digital musicology and core theoretical approaches and methods. In the practical part, students will carry out a practical project. Cultural data sculpting (EN) This course will engage novel approaches for visualizing and interacting with cultural heritage archives in immersive virtual environments.
Foundations of digital humanities (EN) This course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their processing, analysis, and interpretation. Design research for digital innovation (EN) How can we turn digital technologies and data into meaningful user experiences? How can we face societal issues raised by digital evolution? This course proposes an immersion in design research, user centered creativity and UX/UI psychology, through project based learning. History and the digital (EN) The course presents a number of computational approaches & tools that can be used to study history. Drawing on case studies from the history of science & technology, the course also offers students the opportunity to critically reflect on their own practices as digital humanists and data scientists. Game design & prototyping (EN) This course aims to present and discuss various game design methodologies that can be used to analyze and create projects based on interactivity and player engagement. It gives students the opportunity of engaging with the medium of (video) games – its limits and potentials – to widen their toolset. Ethics and law of AI (EN) This master course enables students to sharpen their proficiency in tackling ethical and legal challenges linked to Artificial Intelligence (AI). Students acquire the competence to define AI and identify ethical and legal questions linked to its conception and increased use in society. Computational Social Media (EN) The course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Twitter/X, Instagram, YouTube, and TikTok. Students will learn methods to understand socio-technical phenomena in social media. Electrical engineering science & technology (FR) This course is an introduction to electrical engineering, with emphasis on circuits and their components. It includes a theoretical module with exercises and practical experiments in the laboratory. Electrical engineering science and technology (Spring) (FR) This course provides an introduction to electricity.
Electricity main laws and the fundamental elements of linear DC circuits will be covered. The student will also learn how to analyze electric circuits. Electrical engineering science & technology (FR) This course introduces the fundamental laws of electricity and the methods for analyzing linear electrical circuits, consisting of resistors, capacitors and inductors. We will start with the Direct Current circuits and then switch to single-phase and three-phase Alternating Current circuits. Logic systems (for MT) (FR) This course covers the fundamentals of digital systems. The methods enabling the analysis and the synthesis of logic systems are studied and exercised based on Boolean algebra, combinational and sequential circuits including finite-state machines. Circuits and systems (FR) This course provides an introduction to the theory and analysis methods of electrical circuits. Electromagnetics I : Transmission lines and waves (FR) The electric signal is the essential vehicle for transmitting information and energy. At high frequency, it shows itself as an electromagnetic wave whose study calls for the development of physical and mathematical models based on the wave equation. Electromagnetics II : field computation (FR) This course deals with electromagnetism in free space and in continuous media. Starting from the basic principles, we establish the methods for solving Maxwell’s equation in vacuum and in more complex material media. Electronics I (FR) The basic concepts enabling to understand and analysis Operational Amplifier based circuits dedicated to analog signal processing are addressed. This includes the amplification, filtering, A/D conversion and signal generation. Electronics I (FR) Discover the world of electronics from the fundamental laws of linear and nonlinear discrete components. Circuits obtained with component assemblies require many modeling and analysis techniques, and verification using a simulator. Electronics II (for EL) (FR) This course covers the bipolar and MOSFET transistors, their operations, modeling and implementation in elementary circuits (current mirror and various amplifiers: single-ended, differential, multi-stage, power amplifiers, etc.) and ends with the design of MOS and Bipolar OpAmps. Electronics II (for IC) (FR) Understanding functionnal blocks that require a higher level of abstraction. Realization of electronic high-level functions exploiting operational amplifiers. Electronics II (for MT) (FR) This course covers the bipolar and MOSFET transistors, their operations, modeling and implementation in elementary circuits (current mirror and various amplifiers: single-ended, differential, multi-stage, power amplifiers, etc.) and ends with the design of MOS and Bipolar OpAmps. Signals and systems (for EL) (FR) This course establishes the foundations of an essential concept in engineering: the notion of a system. More specifically, the course introduces the theory of linear time-invariant (LTI) systems, which are widely used to model both physical reality and human-engineered systems. Logic systems (for EL) (FR) This course covers the fundamentals of digital systems. The methods enabling the analysis and the synthesis of logic systems are studied and exercised based on Boolean algebra, combinational and sequential circuits including finite-state machines. Microcontrollers and digital systems (FR) Microcontrollers covers the internal operation of a microcontroller, basic notions of microprocessor architecture and computer systems as well as microcontroller interfaces and serial communication protocols. Elements of statistics for data science (FR) Estimation theory: maximum likelihood estimation, Fisher information.
Cramer-Rao inequality. Confidence intervals.
Hypotheses testing: Neyman-Pearson framework. Maximum likelihood test. Parametric and non parametric tests.
Bayesian inference.
Linear Models. Electronics (FR) Introduction to the main electronic components.
Analysis of basic circuits made of operational amplifiers.
Introduction to elementary logic circuits.
Principle of Analog – Digital conversion.
Basics of MOSFET transistor operation. Electrical systems and electronics I (FR) The course has the aim to provide the fundamental knowledge and experiences to understand basic electrical systems. Electrical systems and electronics II (FR) The basic concepts enabling to understand and analysis the electronic systems dedicated to signals acquisition and processing (e.g. biosensors, physiological signals, ECG) are addressed. This includes the acquisition, amplification and filtering. Microprogrammed Embedded Systems (FR) The student will understand the architectures of embedded microprogrammed systems, microprocessor architectures, memory hierarchies, and various Input/Output (I/O) devices, using the Nintendo DS handheld platform as a case study. Analog IC design (EN) Introduction to the design of analog CMOS integrated circuits at the transistor level. Understanding and design of basic structures. Digital IC design (EN) Digital IC Design presents the fundamentals of digital integrated circuit design. The methods and techniques aiming at the fabrication and development of digital integrated circuits are reviewed, the major design style pertaining to digital logic and memory are presented. Semiconductor physics and device principles (EN) The course introduces the fundamental principles of semiconductor devices used for information processing and storage. It covers the basics of the physics of device operation, material aspects, design, and essential device characteristics, while also highlighting trends driven by modern applications Digital systems design (EN) Students will acquire basic knowledge about methodologies and tools for the design, optimization, and verification of custom digital systems/hardware.
They learn how to design synchronous digital circuits on register transfer level, analyse their timing and implement them in VHDL and on FPGAs. Electronic circuits and systems (FR) The objective of this course is an in-depth study of electronic circuits and systems using the fundamental concept of feedback, with an emphasis on practical applications. The course also covers the fundamental principles of A/D and D/A converters and their architectures. Systèmes de télécommunications (FR) Learning basic knowledge on transmission of information and identify the relevant criteria for the dimensioning of a telecommunication system. Evaluate the quality of digital transmission systems (error probability) either in baseband or shifted passband. Introduction aux microondes et aux antennes (FR) This courses introduces the foundations of passive microwave circuits and of antenna. it covers the notions of distributed circuits and their characterization through the scattering parameters, guided and free space propagation, the fundamental aspects of antennas. Electroacoustics (FR) This lecture will give the EE students strong ground knowledge on the acoustical engineering through a formalism that they already know, namely electrotechnics. The main learning outcome of the lecture is the understanding and the design of acoustic systems such as acoustic filters. Signal processing (FR) In this course, we introduce the main methods in signal processing. Energy conversion (FR) The course aims at providing the elements related to the energy conversion with particular reference to the electricity production by means of conventional and renewable energy sources. The course illustrates the fundamental notions for the modeling of energy conversion systems. Electrical machines (for EL) (FR) The aim of this course is to acquire the basic knowledge related to electrical machines (electromechanical conversion). The course covers the magnetic circuit, the transformer, synchronous, induction and direct current machines as well as stepper motors. Power systems analysis (EN) The course provides the fundamental concepts to model power systems, understand their operation and design/coordinate some of its main components. Power electronics (EN) The goal of the course is to present fundamentals of power electronics. The key focus is on the operating principles of power electronic converters, their modelling, sizing and design. Electrical machines (for ME) (FR) The aim of this course is to acquire the basic knowledge related to electrical machines (electromechanical conversion). The course covers the magnetic circuit, the transformer, synchronous, induction and direct current machines as well as stepper motors. Lab on hardware-software digital systems codesign (EN) This course explores hardware-software co-design techniques to develop heterogeneous multi-core embedded systems running Linux on FPGAs. The course explores high-level synthesis tools (HLS) to design hardware accelerators that reduce total execution time and energy consumption for complex tasks. Lab in energy conversion (FR) This teaching lab provides the experimental experiences associated to courses of the Energy orientation of the BSc in EE. The experiments cover measurement methods, electrical machines and elements related to conversion system, including storage. Lab in information technologies (FR) Get familiar with experimental aspects of the main domains of the orientation “Information and communication technologies” Fundamentals of electrical circuits and systems I (EN) This course gives you an introduction to signal processing, focusing on the Fourier transform, on signal sampling and reconstruction and the Discrete Fourier transform. Fundamentals of electrical circuits and systems II (EN) This course provides an introduction to the theory and analysis methods of electrical circuits. Fundamentals of inference and learning (EN) This is an introductory course in the theory of statistics, inference, and machine learning, with an emphasis on theoretical understanding & practical exercises. The course will combine, and alternate, between mathematical theoretical foundations and practical computational aspects in python. Fundamentals of analog VLSI design (EN) This course presents the systematic design of low-power analog CMOS integrated circuits based on the concept of inversion coefficient and on the sEKV MOSFET model. It covers device modeling, basic building blocks to more advanced circuits like amplifiers and switched-capacitor circuits. Radio frequency circuits design techniques (EN) RF has changed our daily life in our ever connected wireless world (guess how many radios you have in your smartphone?). The goal of this course is to get familiar with RF design techniques in view of understanding the basics behind wireless communication.
Fundamentals of VLSI design (EN) The course introduces the fundamentals of digital integrated circuits and the technology aspects from a designers perspective. It focuses mostly on transistor level, but discusses also the extension to large digital semicustom designs. Analog circuit design II (for MNIS) (EN) The course provides a comprehensive treatment of analog IC design, emphasizing new solutions and paradigms used in today’s low-power electronic systems. The analysis and design are first introduced from an intuitive perspective before the rigorous treatment and practical application in EDA-Lab. Photonic systems and technology (EN) The physics of optical communication components and their applications to communication systems will be covered. The course is intended to present the operation principles of contemporary optical communication systems employing optical fibers and modern optoelectronic devices. Wireless receivers: algorithms and architectures (EN) The students will learn about the basic principles of wireless communication systems, including transmission and modulation schemes as well as the basic components and algorithms of a wireless receiver. They develop an understanding for the wireless channel and system performance and limitations. Microwaves, the basics of wireless communications (EN) This course is an introduction to microwaves and microwave passive circuits. A special attention is given to the introduction of the notion of distributed circuits and to the scattering matrix Antennas (EN) The students will first learn the fundamental principles governing antennas and get familiar with the main antenna types.
In the second part, students will work in groups on an antenna design project. Through this, they will learn to use common simulation tools, and perform antenna measurements Image analysis and pattern recognition (EN) This course gives an introduction to the main methods of image analysis and pattern recognition.
Network machine learning (EN) Fundamentals, methods, algorithms and applications of network machine learning and graph neural networks Hydropower plants: generating and pumping units (EN) Master Lectures on the layouts, compenents and operating principles of hydropower plants and hydroelectric units for generation and pumping. Industrial electronics I (EN) The course deals with the control of grid connected power electronic converters for renewable applications, covering: converter topologies, pulse width modulation, modelling, control algorithms and controllers (PID and PR), coordinate frame transformations, grid monitoring and synchronisation (PLL). Energy storage in power systems: technologies, applications and future needs (EN) This course reviews the main energy storage technologies, their attributes, mathematical models, and applications (stationary and mobile), from design to operations and control. Battery systems, whose application and development rates today are among the most relevant, will be given special focus. Smart grids technologies (EN) Learn the technologies and methodologies used in the context of the operation of future power grids and be able to deploy/implement/test them. Lab in acoustics (EN) Apply the knowledge acquired in Audio lectures (room acoustics, acoustic material characterization, loudspeaker measurements, etc.), and provide additional useful illustrations (full wave simulations on COMSOL Multiphysics to better understand some physical phenomena). Lab in advanced VLSI design (EN) this class covers advanced VLSI design techniques. top-down full custom circuit design. Lab in power electronics (EN) This teaching lab provides the practical experiences related to the operation of power electronics converters and digital control in power electronics, through experimental activities on the Power Electronic Teaching Setups. Work is organised
by means of mini projects, assigned to each student. Lab in signal and image processing (EN) These lab sessions are hands-on exercises focusing on the basics of image processing and deep learning. The main objective is to learn how to use some important image processing libraries, namely OpenCV, numpy and TensorFlow, to perform image analysis tasks. Lab on app development for tablets and smartphones (EN) Focusing on the Android ecosystem, this course teaches techniques for the development of distributed mobile applications, operating on multiple heterogeneous devices (tablets / smartwatches), sensing the environment, and interfacing with the cloud. Lab in nanoelectronics (EN) Students will work in the laboratory and the EPFL CMI cleanroom on a process flow for fabricating devices based on 2D semiconductors. Sensors in medical instrumentation (EN) Fundamental principles and methods used for physiological signal conditioning. Electrode, optical, resistive, capacitive, inductive, and piezoelectric sensor techniques used to detect and convert physiological information to electrical signals. Medical devices for physiological signal monitoring. Applied biomedical signal processing (EN) This course covers state-of-the-art concepts and approaches for biomedical signal processing, applied to diverse sensing modalities, and framed in real applications within the health, wellness, and sports domains. Fundamentals of biosensors and electronic biochips (EN) The labels “biosensor” and “eBiochip” have been employed to refer to the most diverse systems and in several fields of application. The course is meant not only to provide means to dig into this sea but also a thoughtful understanding of the detection principles and a design perspective. Bio-nano-chip design (EN) Introduction to heterogeneous integration for Nano-Bio-CMOS sensors on Chip.
Understanding and designing of active Bio/CMOS interfaces powered by nanostructures. Analog circuits for biochip (EN) Introduction to analog CMOS design for Remote Biosensors on Chip. Understanding and designing of active and remotely powered biosensing systems. Basic understanding of the wireless transmission of the obtained signals. Bioelectronics and biomedical microelectronics (EN) The course covers the fundaments of bioelectronics and integrated microelectronics for biomedical and implantable systems. Issues and trade-offs at the circuit and systems levels of invasive microelectronic systems as well as their eluding designs, methods and classical implementations are discussed Advanced analog integrated circuit design (EN) Introduction to advanced topics in analog and mixed-signal CMOS circuits at the transistor level. The course will focus on practical aspects of IC design, quantitative performance measures, and design trade-offs to develop an intuitive understanding of circuit behavior. Introduction to bioengineering (EN) This course provides engineering students with a foundational understanding of bioengineering, a multidisciplinary field that integrates principles of biology, chemistry, and engineering. Test of VLSI systems (EN) Test of VLSI Systems covers theoretical knowledge related to the major algorithms used in VLSI test, and design for test techniques. Basic knowledge related to computer-aided design for test techniques, and their integration into a design-flow are presented. Nanoelectronics (EN) This lecture overviews and discusses the last trends in the technology and principles of nanoelectronic devices for more aggressive scaling, better performances, added functionalities and lower energy per function. The opportunities of these advances compared to industrial roadmaps are analized. Physical models for micro and nanosystems (EN) Students will learn simple theoretical models, the theoretical background of finite element modeling as well as its application to modeling charge, mass and heat transport in electronic, fluidic and electromechanical micro and nanosystem. Audio engineering (EN) This lecture is oriented towards the study of audio engineering, room acoustics, sound propagation, and sound radiation from sources and acoustic antennas. The learning outcomes will be the techniques for microphones and loudspeaker design, as well as room acoustics. Media security (EN) This course provides attendees with theoretical and practical issues in media security. In addition to lectures by the professor, the course includes laboratory sessions, a mini-project, and a mid-term exam.
Automatic speech processing (EN) The goal of this course is to provide the students with the main formalisms, models and algorithms required for the implementation of advanced speech processing applications (involving, among others, speech coding, speech analysis/synthesis, and speech recognition, speaker recognition). Mathematics of data: from theory to computation (EN) This course provides an overview of key advances in continuous optimization and statistical analysis for machine learning. We review recent learning formulations and models as well as their guarantees, describe scalable solution techniques and algorithms, and illustrate the trade-offs involved. Semiconductor devices I (EN) This course aims to give a solid introduction to semiconductors, from Silicon to compound semiconductors, making the connection between the physics and their application in real life. We will explore several experimental techniques related to current semiconductor research and development. Deep learning (EN) This course explores how to design reliable discriminative and generative neural networks, the ethics of data acquisition and model deployment, as well as modern multi-modal models.
Industrial electronics II (EN) The course is dealing with high performance drives and methods to control various electrical machines by means of power electronic converter and advanced control methods. Adaptation and learning (EN) In this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications. Semiconductor devices II (EN) Students will learn about understanding the fundamentals and applications of emerging nanoscale devices, materials
and concepts. Remark: at least 5 students should be enrolled for the course to be given
Reinforcement learning (EN) This course describes theory and methods for Reinforcement Learning (RL), which revolves around decision making under uncertainty. The course covers classic algorithms in RL as well as recent algorithms under the lens of contemporary optimization. Image and video coding (EN) This course addresses coding of visual information. The primary focus will be on image and moving picture compression. Concrete examples of image and video coding algorithms such as those standardized under JPEG and MPEG are explained and compared. Power system restructuring and deregulation (EN) This course presents different types and mechanisms of electricity markets. It addresses in particular their impacts on power/distribution systems operation and consequently the appropriate strategies capable to ensure a secure and reliable functioning. Electromagnetic compatibility (EN) In this lecture, students will get the basic knowledge on electromagnetic compatibility. Introduction to the design of space mechanisms (EN) Space environment is different from what we can experience on Earth, requiring specific design approaches in order to achieve reliable operations. Engineers must hence face new challenges stimulating their creativity to tackle those particular constraints. Lessons learned from the space exploration (EN) The objective of the course is to present with different viewpoints, the lessons learned which lead to the decisions in the space exploration and their consequences today and for the decades to come. A semester continuous evaluation is done through a conceptual study of a space project (see below). Spacecraft design and system engineering (EN) The objective of the course is to provide tools and notions for spacecraft design and systems engineering. The course will start with an introduction on systems engineering, then the different subsystems of a spacecraft will be explored. External teachers from industry will bring their expertise. Space mission design and operations (EN) Space mission design and operations takes you through the necessary concepts to understand a mission mission, from planning to actually flying the spacecraft. We will focus on concepts and see many examples ranging historical probes to very topical missions. Space sustainability, a multidisciplinary approach (EN) The students will learn the history and geopolitical challenges of space sustai. Different tools and methods to measure, understand and act for space sust. will be presented. Throughout group work, the students will evaluate the technical, economical, governance and geopolitical aspects of space sus Advanced lab in electrical energy systems (EN) Pre-requisites required. The number of places is limited. Please register only after having obtained the teacher’s agreement. The purpose of this teaching lab is to put together all the concepts learned during the course into electrical energy by the implementation of an islanded production unit. Usability engineering (EN) Introduction to Human Factors/Usability Engineering theory and research methods.
Human Factors Engineering/Usability is interdisciplinary and focuses on human cognition, behaviour and ergonomics in design. The course focus on human systems integration and human functions in machine/product systems. Deep Learning For Natural Language Processing (EN) This course covers advanced topics in deep learning architectures for natural language processing. The focus is on attention-based architectures, structure processing and variational-Bayesian approaches, and why these models are particularly suited to the properties of human language. Linear system theory (EN) The course covers control theory and design for linear time-invariant systems : (i) Mathematical descriptions of systems (ii) Multivariables realizations; (iii) Stability ; (iv) Controllability and Observability; (v) Minimal realizations and coprime fractions; (vi) Pole placement and model matching. Machine Learning for Engineers (EN) The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks. Research seminars in Electrical and Micro Engineering – FALL (EN) This course introduces students with broad research directions in electrical and micro engineering, via a series of weekly wide-audience seminars given by distinguished speakers. The students practice transferable skills including active listening, critical thinking, and scientific communication. Research seminars in Electrical and Micro Engineering – SPRING (EN) This course introduces students with broad research directions in electrical and micro engineering, via a series of weekly wide-audience seminars given by distinguished speakers. The students practice transferable skills including active listening, critical thinking, and scientific communication. Graph representations for biology and medicine (EN) Systems of interacting entities, modeled as graphs, are pervasive in biology and medicine. The class will cover advanced topics in signal processing and machine learning on graphs and networks, and will showcase applications of the tools in biomedicine. Advanced lll-Nitride Semiconductor Devices (EN) This course covers advanced topics on compound semiconductors (lll-Nitrides) and their heterostructures, from both physics and
engineering perspectives, to explain the principles of some of the widespread electronic and optoelectronic devices used in our lives
(LEDs, lasers, HEMTS, and power FETS). Training Large Language Models (EN) This PhD-level course dives deep into the training of Large Language Models (LLMs), focusing on the complementary roles of datasets, pre-training and post training methodologies in shaping model performance and scalability.
Network Neuroscience: Methods & Applications (EN) This course provides students with a solid background on theory and applications for brain network analysis. It involves concepts from signal processing and graph theory, applied to neuroimaging data to construct and analyse brain networks and their dynamics. Advanced topics in electromagnetic compatibility (EN) After a series of common introductory topics covering an introduction to electromagnetic compatibility, modeling techniques and selected chapters from EMC, each student will study a specific topic, which will be presented and discussed. Digital Speech and Audio Coding (EN) The goal of this course is to introduce the engineering students state-of-the-art speech and audio coding techniques with an emphasis on the integration of knowledge about sound production and auditory perception through signal processing techniques. Human language technology: applications to information access (EN) The Human Language Technology (HLT) course presents methods for accessing information enclosed in large text collections. While the focus is on neural language models, their evolution and relationship to statistical or symbolic models are also presented.
Design and Optimization of Internet-of-Things Systems (EN) This course provides a complete overview of the most relevant subfields related to Internet of Things (IoT) systems, it presents the perspectives and the underlying technologies, with a particular focus on edge AI architectures and software (AI and TinyML algorithms), communication and Cloud systems Online learning in games (EN) This course provides an overview of recent developments in online learning, game theory, and variational inequalities and their point of intersection with a focus on algorithmic development. The primary approach is to lay out the different problem classes and their associated optimal rates. Optimal Control for Dynamic Systems (EN) This doctoral course provides an introduction to optimal control covering fundamental theory, numerical implementation and problem formulation for applications. Introduction to wave scattering (EN) This advanced theoretical course introduces students to basic concepts in wave scattering theory, with a focus on scattering matrix theory and its applications, in particular in photonics. ELLIS Summer School on AI for Health (EN) The EPFL AI Center and the ELLIS EPFL unit are organizing the AI for Health Summer School, taking place on the EPFL campus from 7th to 11th July, 2025. This intensive week will delve into how AI is transforming biomedicine, with a focus on the intersection of AI, life sciences, and medicine. Fundamentals of Image Analysis (EN) This summer school is an hands-on introduction on the fundamentals of image analysis for scientists. A series of lectures provide students with the key concepts in the field, and are followed by practical sessions with popular software on the participants’ own image-analysis software. Data science for engineers with Python (FR) This course offers a gradual and comprehensive introduction to the field of Data Science through the Python programming language. It guides students from raw data manipulation to modeling and the extraction of meaningful insights from real-world data. Estimation methods (FR) The students treat observations affected by uncertainty in a rigorous manner. They master the main methods to adjust measurements and to estimate parameters. They apply specific models to real-world problems encountered in various experimental sciences. Computational methods and tools (EN) This course prepares students to use modern computational methods and tools for solving problems in engineering and science.
Fluid mechanics (for SIE) (EN) This course helps students acquire basic knowledge of the main concepts and equations of fluid mechanics and develop the skills necessary to work effectively in professional engineering practice. Construction contracts and liability (FR) Course (3 ECTS) on private construction law for students in architecture, civil and environmental engineering. Covers contracts (mandate, work), professional liability, dispute resolution, and risk management, with practical case examples. Signals, instruments and systems (EN) The goal of this course is to transmit knowledge in sensing, computing, communicating, and actuating for programmable
field instruments and, more generally, embedded systems. The student will be able to put in practice the knowledge
acquired using concrete software and hardware tools. Construction project management (FR) An architectural work with a distinctive quality is the result of a multitude of processes and various participants. Its success is closely linked to the organization set up by the architect during the different phases of the project. Energy supply, economics and transition (EN) This course examines energy systems from various angles: available resources, how they can be combined or substituted, their private and social costs, whether they can meet the energy demand, and how the transition to a renewable energy system can be fostered. Concurrent engineering of space missions (EN) The main objective of this course is to teach the students the fundamentals of concurrent engineering for space missions and systems. The course is built around a similar framework to that of the European Space Agency’s (ESA) Concurrent Engineering Challenge. Environmental transport phenomena (EN) The course aims at introducing basic physical aspects of molecular and turbulent diffusion, as well as of dispersion processes, their mathematical modeling, solutions and related environmental applications Risk management (EN) This course provides students with the opportunity to acquire the methods and tools necessary for modern risk management from an engineering perspective. It emphasizes stakeholders, resources, and objectives, while ensuring economic and social sustainability. Safety of chemical processes (EN) The main focus of the lecture is on reactive hazards (thermal process safety) + introduction to explosion protection. While being based on theory, the lecture is oriented towards industrial practice.
The lecture is 7x4h Food chemistry (FR) Presentation of the properties, the functionality, and specific reactions of the important food constituents: water, proteins, carbohydrates, lipids, vitamins, minerals, additives and toxic components.
Chemistry of food processes (EN) The course will deliver basic knowledge on the principles of food processing and chemical changes occurring during food manufacturing. Specific thermal processes related to transformation of food raw materials will be described along with benefits and challenges to consider. Food biotechnology (EN) The course will deliver basic knowledge on the principles of food fermentation and enzyme technology. The course will also present benefits that food biotechnology can bring in terms of Nutrition & Health and Sustainability. Environmental impact assesment (FR) Presentation of the bases of the environmental impact assesment (EIA), context. Assesment methodology and tools for each of the topics and chapters. Illustration with many real cases, and group work. Discussion of the limitations of EIA and new tools such as strategic environmental studies. Space propulsion (EN) The main objective of the course is to provide an overview about space propulsion systems like thermal propulsion systems, chemical propulsion systems and electrical propulsion systems. The secondary objective is to discuss all relevant equipment needed for propulsion systems . Digitalization in electricity systems (EN) Participants will be equipped with specialized knowledge, grounded on latest academic research and professional practice, on potential applications and risks digitalization tendencies pose to the operation and planning of electricity systems. Design of experiments (a) – Fall semester (EN) Next course will take place on October 26-27, November 2-3, November 9-10, 2026.
The course teaches the acquisition of a methodology of designing experiments for optimal quality of the results and of the number of experiments. Videomaking for science communication (EN) The goal of this introductory workshop is to teach participants how to craft compelling and accurate science stories with engaging videos. How to prepare successful Grant proposals (EN) You will learn where to look for appropriate fellowship or research funding, how to apply for specific instruments, and how to prepare a written application. You will also gain an understanding of how proposals are assessed by funders and hone your proposal writing skills through peer review. Power electronics for renewable applications (EN) Introduction to key aspects of power-electronics utilization in renewable energy applications, including the basic operation principles, system-level properties, control, and modeling. Practical experiences are gained via the simulation exercises. Scientific Writing (EDCH) (1) (Fall) (EN) To make researchers aware of good scientific writing
To help them structure their articles
To point out pitfalls in scientific writing
To enable researchers to face their writing with confidence
To deal with specific problems in writing research proposals Scientific Writing (EDCH) (2) (Spring) (EN) To make researchers aware of good scientific writing To help them structure their articles To point out pitfalls in scientific writing To enable researchers to face their writing with confidence To deal with specific problems in writing research proposals Topics in Autonomous Robotics (EN) Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises. Communication in science and technology (EN) This PhD course teaches basic theories and skills of
communication, and discusses current topics with internal/external lecturers. Goal: give an overview and prepare interested PhD scientists to the field of science communication. Held from Sept. to Dec. 2026. Hybrid. Biomass conversion (EN) The learning outcomes are to get to know the biomass ressources and its characteristics; study of biomass conversion pathways and study of process flow-sheets; establish the flow diagram of an industrial process with biomass as feedstock and calculate the corresponding mass and energy balances; etc Information literacy for chemists (EN) Concepts and tools to understand and use the modem chemical information environment Learn how to explore the scientific literature, how to use the information found in agreement with intellectual property laws, and learn about the current trends impacting chemists as creators of knowledge. MINTT: Management of Innovation and technology transfer (EDOC) (EN) mintt’s purpose is to provide EPFL PhD students with an accelerated training in invention management, assessment of the
potential, intellectual property rights elaboration, license negotiation, start-up option evaluation and experience sharing in
the field of innovation. Science and Engineering Teaching and Learning – FALL (EN) This course develops teaching skills through the introduction of research-informed approaches and the opportunity to practice strategies appropriate for higher education science and technology contexts (exercises, labs, projects and traditional courses). Science and Engineering Teaching and Learning – SPRING (EN) This course develops teaching skills through the introduction of research-informed approaches and the opportunity to practice strategies appropriate for higher education science and technology contexts (exercises, labs, projects and traditional courses). Lecturing and Presenting in Engineering (EN) Informed by contemporary research on teaching engineering, participants design and deliver lessons for specific audiences. This course is relevant for teaching assistants and those who intend to make teaching science or engineering part of their career, in a formal or informal way. Supervising Students in Projects (EN) The combination of practical and reflective activities in this course provide participants with evidence-informed teaching skills for supervising and evaluating students working on projects. Motion Design for Science (EN) This course is designed to empower students with skills in motion design, allowing them to breathe life into their ideas & scientific figures. We will work on exercises to animate scientific images, build towards animating a figure, then each student will design & animate their own work. Creating & capturing value from innovative tech (EN) In this hands-on course, we will learn how to identify and evaluate business opportunities stemming from an innovative technology, and how to set the ground for a successful entrepreneurial endeavor. Teaching STEM: a problem solving approach (EN) Problem solving is a core engineering skill. This course explores relevant heuristics, epistemologies, metacognitive skills and evidence-informed teaching strategies for developing problem solving skills that transfer from paper-based exercises to complex, real world engineering situations. Interdisciplinary seminar series (EN) This course focuses on interdisciplinary research communication through dynamic presentations, feedback, and collaboration with diverse audiences. Project Management and Effective Leadership (EN) This course provides a foundational understanding of project management and leadership, typically in any professional environment, including while not limited to industry and academics. Thin Film Lubrication and Gas-Lubricated Bearings (EN) This course introduces thin film lubrication and its applications to gas-lubricated bearings, including rotordynamics to enable the assessment of the operation of gas-bearing supported rotors. Sustainability in my research (EN) This course is designed to develop the necessary transversal skills to foster sustainability integration in the present and future research of the PhD students Dynamic programming and optimal control (EN) This course provides an introduction to stochastic optimal control and dynamic programming (DP), with a variety of engineering
applications. The course focuses on the DP principle of optimality, and its utility in deriving and approximating solutions to an optimal
control problem. PhD to CEO – Launching Technology Ventures (EN) The course focuses on launching technology ventures and academic spin-offs, covering foundational concepts of venture strategy and technology commercialization. Students gain real-life experience through hands-on startup projects based on own or other students’ inventions and discoveries. Ethical integrity in the sciences (EN) Students receive an overview of philosophical ethics as well as of ethics in the sciences and humanities. In addition, workshops involving physical movement and verbal exchanges inspired by performance art practices emphasize that ethical integrity is something enacted and embodied in practice. Kinematics grounded motion planning for robots (EN) Students learn forward/inverse kinematics, singularity analysis, and constraint-aware path planning for modern robotic manipulators, implementing kinematic models and planners in a final project. Doing research with and for people: design research methods for science and technology (EN) This course equips PhD students with user research methods to connect their doctoral work with society through hands-on, project-based learning. The practical skills and theory learnt are applicable at every stage of the PhD and for future careers in academia or industry. EECS Seminar: Advanced Topics in Machine Learning (EN) Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results. Sustainability (FR) This course presents global sustainability issues. It introduces the notions of planetary boundaries and social boundaries and their systemic interconnections. The interdisciplinary approach introduces group work and systems thinking (interdependencies in a complex system). Biology (EN) This course will cover the fundamental principles governing life and the living world. Topics will include the diversity of living organisms, cellular biology, genetics, evolution, and ecology. This course provides a foundation in biology, fostering critical thinking & analytical skills. Project oriented programming (for SIE) (FR) Introduction to environmental engineering (EN) Key themes in environmental science and engineering will be show-cased, with examples – from equator to the poles – including atmospheric processes and climate change, water quality, energy resources and urban development, with the amazing technologies used to study and address current challenges. Environmental chemistry (EN) This course provides students with an overview over the basics of environmental chemistry. This includes the chemistry of natural systems, as well as the fate of anthropogenic chemicals in natural systems. It enables students to apply general chemical concepts to natural systems. Microbiology for engineers (EN) “Microbiology for engineers” covers the main microbial processes that take place in the environment and in treatment systems. It presents elemental cycles that are catalyzed by microorganisms and that have a major impact on planet Earth. Atmospheric physics and the climate system (EN) The course provides an introduction to the physical and dynamical processes that govern the atmosphere at small and large scales. The basis is laid for an in depth understanding of our atmospheric environment and the climate system. Fundamentals in ecology (EN) The students will learn the fundamentals in ecology with the goal to perceive the environment beyond its physical and chemical characteristics. Starting from basic concepts, they will acquire mechanistic understanding of biodiversity, ecosystem functioning and global change. Hydrology for engineers (EN) This is an introductory course to key concepts and methods in physical and engineering hydrology. Pollutants analysis in the environment (FR) Evaluation of the quality of a river by using methods of observation as well as physico-chemical and biological methods. Collecting samples in the field and laboratory analysis.
Practical determination and use of the constants of complexes formation. Treatment and valorization of water and waste (FR) Water and waste management systems in Switzerland: from end-of-pipe treatment to closed-loop system. Principles of water supply, evacuation and treatment. Basis for the dimensioning of networks and treatment plants. Management, treatment and valorization of urban waste. Visits. French language. Physics and chemistry of the atmosphere (EN) The course provides an introduction to the physical and chemical processes that govern the atmospheric dynamics at small and large scales. The basis is laid for an in depth understanding of our atmospheric environment and the climate system. Aquatic ecosystems (EN) Inland waters are now being recognized are major players of global biogeochemical cycles. They also provide essential ecosystem services such as fresh water and fish, and link continental processes with atmospheric and marine processes. The understanding of the structure and function of inland water Remote sensing (FR) This course aims at exposing the students to the main concepts, instruments and techniques of environmental remote sensing. The interactions between waves and matter, different types of sensors and image-processing techniques are presented. Geographic information system (GIS) (FR) Acquisition of basic concepts and skills of (geographic) data structures and of their storage in (geographic) database systems. Learning of relevant geographic data analysis processes for environmental and civil engineers (spatial autocorrelation, spatial interpolation, digital elevation modeling). Environmental and construction law (FR) This course provides the students with the basic knowledge required to understand the legal aspects of their professional life in relation with spatial planning and environmental protection. Special emphasis is given to legal practical issues related to their profession. Environmental system analysis and assessment (FR) Facing environmental challenges requires to address it with a systemic perspective. Life Cycle Assessment (LCA) and Material Flow Analysis (MFA) are environmental assessment methods enabling the calculation of environmental performance of products, services and territories. Water and sanitation for development (EN) This MSc course deals with the water, sanitation and solid waste challenges in developing countries. You will learn about the current dialogue in these topics, identify key players, know existing options of water & sanitation technologies, and be able to design and evaluate a technical project. Water and wastewater treatment (EN) This course on water and wastewater treatment shows how to apply physical and chemical methods and techniques to produce drinking water, and how to implement and design different methods and techniques to eliminate organic matter, nitrogen, and phosphorus from wastewater. Atmospheric processes: from cloud to global scales (EN) The main objective is to present important atmospheric processes from the local to global scales. The course will start with cloud processes, continue to synoptic phenomena like extratropical cyclones and fronts, to finally cover numerical modeling at the regional and global scales. Sensing and spatial modeling for earth observation (EN) Students get acquainted with the process of mapping from images (orthophoto and DEM), as well as with methods for monitoring the Earth surface using remotely sensed data. Methods will span from machine learning to geostatistics and model the spatiotemporal variability of processes. Air pollution
(EN) A survey course describing the origins of air pollution and climate change Science of climate change (EN) The course equips students with a comprehensive scientific understanding of climate change covering a wide range of topics from physical principles, historical climate change, greenhouse gas emissions, the IPCC assessment to future scenarios and climate action. Ecohydrological modeling (EN) This course provides the theoretical basis for understanding and modeling the interactions between the hydrologic cycle, vegetation, soil, climate, and human society. Microbial ecology (EN) The course will focus on fundamental concepts of microbial ecology, plant-microbe interactions and environmental microbiology, with emphasis on bacteria and archaea, although fungi, algae, and protists will also be covered. Thermodynamics of the earth systems (EN) The objective of this course is to apply thermodynamic principles to understand the role of water in the Earth System. The aim is to provide a broad conceptual framework for understanding the thermodynamics of oceans and atmospheres, so material can be integrated into other study disciplines. Prototyping at the interface between disciplines (EN) This course will allow students to engage in hands-on projects in a dedicated workshop environment – the SKIL. Students work together in small groups on projects formulated together with the teacher and the highly specialized team of lab-managers of the SKIL. Students can also bring their own ideas. Urban hydrology (FR) This course in urban hydrology approaches urban water management from a global perspective, including the impacts of wet-weather discharges on receiving waters. Concrete solutions for urban water management are presented, in relation with climate change. River eco-morphodynamics and bioengineering (EN) The course deals with the interactions between hydraulics, solid transport by hauling and the watercourse space at the origin of the morphology and richness of habitats. Regime theory is presented and the quality of a stream’s habitat is assessed. Sustainability, climate and energy (EN) The course provides students with a comprehensive scientific understanding of the links between climate and energy systems in the context of sustainability. It will cover topics related to natural and anthropogenic climate change, the fundamentals of energy systems and their efficiency. Limnology (EN) Focus is on lakes, rivers and reservoirs as aquatic systems. Specific is the quantitative analyse (incl. exercises) of physical, biogeochemical and sedimentological processes. The goal is to understand the relevant processes for the water quality from an engineering perspective Exploratory data analysis in environmental health (EN) This course teaches how to apply exploratory spatial data analysis to health information. Teaching focuses on the role of GIS and spatial statistics in spatial epidemiology. It proposes a context to investigate the relationship between health, quality of life, and environmental characteristics. Sustainability assessment of urban systems (EN) This course enables students to think critically about sustainability and to carry out a sustainability assessment based on problems of urban areas. At the end of the course, students are able to develop their own sustainability assessment using the Sustainability Solution Space methodology. Urban Green&Blue infrastructure and global warming (EN) The course introduces the concept of green and blue urban infrastructure in the context of global warming. It presents knowledge, concepts, and methods for planning, developing, and maintaining an effective network of green and blue infrastructure in urban areas. Occupational and environmental health (EN) This course looks at the relationship between our environment – both professional and general – and our health. What hazards are associated with physical, chemical and biological pollutants? How can we assess the risks and prevent them? What health issues are associated with climate change?
Development engineering (EN) This course teaches the fundamentals of technologies for development (Development Engineering) to design, pilot, and deploy appropriate, affordable and robust technologies to address sustainable development challenges and especially those related to extreme poverty in Low-income settings. Environmental economics (EN) Starting with demand and supply and how markets work, as well as welfare assessment and social optimisation. Then moving on to the limitations of markets, particularly external effects, and developing instruments to correct these limitations â the instruments of environmental policy. Material flow analysis and resource management (EN) This course provides the basis to understand material and energy production and consumption processes. Students learn how to develop a material flow analysis and apply it to resource management cases. They analyze the implications of their models on resource use, economic activities and policy. Groundwater and soil remediation (EN) This course covers the essential knowledge of contaminant partitioning and techniques to monitor chemical species, physical extent of contamination and biological processes. In the second part, remediation approaches are tackled. This course represents the fundamentals of remediation. Fate and behaviour of environmental contaminants (EN) The student will learn the important processes that control the transport and transformation of organic chemicals in the environment, as well as the formulation and solution of quantitative models to describe these processes. Life cycle assessment in energy systems (EN) This course will introduce students to the Life Cycle Assessment (LCA) as a holistic approach to evaluate, among others, energy conversion technologies throughout their entire value chain, and across multiple environmental problems beyond climate change. Global change ecology and fluvial ecosystems (EN) Understand the functioning of rivers, focusing on hydrological, geomorphologic, biogeochemical and ecological components, and their linkages. Analyze impacts of global change on rivers ecosystems, develop skills related to synthesizing and interpreting literature and communicating science. Multivariate statistics in R (EN) Environmental datasets often contain numerous parameters. Multivariate statistics allow us to simultaneously explore, understand and model such datasets. This course provides conceptual introduction and guidelines for applying multivariate statistical tools using the R platform.
Hydrogeophysics (EN) This course aims to provide a solid methodological foundation for understanding the principles of geophysical techniques relevant for addressing hydrogeological and related environmental and engineering problems. The goal is to provide students with pertinent decision making capabilities. Hydrological risks and structures (FR) The course is an introduction to statistical hydrology with a focus on the hydrology of small mountain watersheds. The course includes a general introduction to risk management. It then introduces the student to extreme value theory and hydrological models. Physics and hydrology of snow (EN) This course covers principles of snow physics, snow hydrology, snow-atmosphere interaction, and snow modeling. It transmits detailed understanding of physical processes within the snow and at its interfaces with the atmosphere and the ground, and presents field, laboratory, and modeling techniques. Climate and water sensitive urban design (EN) This project-based course introduces students to the field of urban climate and hydrology, with a focus on nature-based solutions for the design of climate and water resilient cities. Sustainability robotics (EN) The goal of this course is to provide methods and tools of robotics in promoting sustainable development. The course is a balance between theoretical basics in robotics, associated case studies and project based learning. Image processing for Earth observation (EN) This course covers optical remote sensing from satellites and airborne platforms. The different systems are presented. The students will acquire skills in image processing and machine/deep learning to extract end-products from the images such as land cover or risk maps. Advanced satellite positioning (EN) All fundamental principles behind modern satellite positioning to acquire, track and evaluate direct and indirect satellite signals and process them in relation to example applications: Earth monitoring (landslides,…), high precision positioning (automated driving, robots,…) and time transfer. Sensor orientation (EN) Determination of spatial orientation (i.e. position, velocity, attitude) via integration of inertial sensors with satellite positioning. Prerequisite for applications related to remote sensing, environmental monitoring, mobile mapping, robotics, space exploration, smart-phone navigation, etc. Irrigation and drainage engineering (EN) The course aims at teaching the fundamentals of both irrigation and drainage techniques with particular attention to the soil water balance and related management, the materials, the construction methods as well as the environmental impacts and sustainability criteria of both practices. Biological Resource Recovery (EN) Principles and technologies of biological resource recovery from waste streams into valuable resources. Emphasis is placed on the microbial processes underlying these technologies, their engineering applications, and their role in advancing sustainable and circular environmental systems. Snow Science Winter School (WSL) (EN) The modern techniques and methods to measure snow properties in the field and in the laboratory are introduced by specialists in the corresponding field. The methods are applied in the field and in the laboratory and a report prepared using the measured data. Summer School: Forests in the Anthropocene (EN) The participants will reflect on their own scientific work with respect to other disciplinary methods and discuss possible benefits of interdisciplinary approach in their field. Moreover, students will further be able to learn the advanced methods used in the broad forestry field. Hands-on bioinformatics for microbial meta-omics (EN) This course will train doctoral students to use bioinformatic tools to analyse amplicon and metagenomic sequences. In addition, we will also touch upon meta-transcriptomics and meta-proteomics. EESS – CESS Seminar Course – option 1 (FALL) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 2 (FALL) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 1 (SPRING) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 2 (SPRING) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills Models for applied environmental economics (EN) Mainly based on the discussion of peer reviewed academic papers, the course introduces non economists to the main types of applied models used in environmental economic analysis: linear programming, partial and general equilibrium, game theory, and agent based models. Advanced topics in nuclear reactor materials (EN) To comprehend advanced aspects of materials science as applied to nuclear power (fission and fusion), to get acquainted with materials for advanced plants, advanced damage characterization and life-time assessments Nuclear computations lab (EN) To aquire hands-on experience with the running of large computer codes in relation to the static analysis of nuclear reactor cores and the multi-physics simulation of nuclear power plant (NPP) dynamic behaviour Sustainable Finance (EN) The Sustainable Finance course provides an overview of how climate change and sustainability concerns are reshaping financial markets, and of how financial markets can help address these challenges. Introduction to finance (EN) The course provides provides an introduction to valuation techniques, investment decisions, asset valuation and portfolio choice, financing decisions, derivatives pricing, and sustainable finance. Derivatives (EN) This course provides a detailed presentation of the standard models for the valuation and hedging of derivatives products such as European options, American options, forward contracts, futures contract and exotic options. Investments (EN) The course covers a wide range of topics in investment analysis Machine learning in finance (EN) This course aims to give an introduction to the application of machine learning to finance, focusing on the problems of portfolio optimization, return prediction, and textual analysis. A particular focus will be on deep learning and the practical details of applying deep learning models to finance. Accounting for finance (EN) The objective of the course is to provide participants with accounting mechanisms for understanding and anaalyzing the financial statements of a company. Financial applications of blockchains and distributed ledgers (EN) This course provides an introduction to Distributed Ledger Technology (DLT), blockchains and cryptocurrencies, and their applications in finance and banking and draws the analogies between Traditional Finance (TradFi) and crypto and the ways investors/traders can transact in those worlds. Probability and stochastic calculus (EN) This course gives an introduction to probability theory and stochastic calculus in discrete and continuous time. The fundamental notions and techniques introduced in this course have many applications in finance, for example for option pricing, risk management and optimal portfolio choice. Interest rate and credit risk models (EN) This course gives an introduction to the modeling of interest rates and credit risk. Such models are used for the valuation of interest rate securities with and without credit risk, the management and hedging of bond portfolios and the valuation and usage of interest rate and credit derivatives. Quantitative financial risk management (EN) This course is an introduction to quantitative risk management that covers standard statistical methods, multivariate models, risk measures, non-linear dependence structures (copula models), as well as credit risk. Ethical behavior in the financial industry (EN) We will focus on ethical dilemmas facing professionals in the financial industry. Cases based on real events will illustrate various kinds of transgressions. We will study what regulators and firms have put in place to mitigate these issues and propose some guiding principles for individual Financial intermediation (EN) This course provides a theoretical and practical overview of what financial institutions do, how they manage their risks, and how they are regulated. The course also discusses the causes and effects of financial crises, and how financial intermediation is affected by technological innovation. Open Economy Macroeconomics (EN) This course covers the basics of open-economy macroeconomic theory. It starts by the measurement and use of national income; it introduces exchange rates, interest rates and inflation in the short and long run. It then turns to fluctuations and the role of monetary and fiscal policies. Sustainable & entrepreneurial finance (EN) This course deals with the role of finance in the transition to a sustainable, low-carbon economy. Students learn how to apply asset allocation techniques to build sustainable portfolios, understand the entrepreneurial ecosystem, and discover the emerging asset class of impact investing. Advanced derivatives (EN) The course covers a wide range of advanced topics in derivatives pricing Venture capital (EN) The course applies finance concepts to the world of venture capital (VC). Students are introduced to all institutional aspects of the VC industry. Students analyze the relations between investors, general partners, and entrepreneurs, including limited partnership agreements as well as term sheets Financial big data (EN) The course introduces modern methods to acquire, clean, and analyze large quantities of financial data efficiently. The second part expands on how to apply these techniques and robust statistics to financial analysis, in particular to intraday data and investment strategies. Theoretical corporate finance (EN) The aim of this course is to expose students to important topics in the literature on corporate finance. The objective of the course is to give students a working understanding of key papers and to expose students to solution techniques to be applied in their own research. Empirical Asset Pricing (EN) This class is designed to give you an understanding of the basics of empirical asset pricing. This means that we will learn how to test asset pricing models and apply them mostly to stock markets. We will see which theories fare well and which ones do not. Information and Asset Pricing (EN) We study the role of information in equilibrium asset pricing models. We cover simple one-period models of incomplete and asymmetric information using competitive rational expectation equilibria and Bayesian-Nash equilibria. We extend to dynamic models. International Finance (EN) This is a doctoral level course introducing students to important topics in international finance. It also covers aspects of the recent financial crisis, such as market contagions, regulatory arbitrage and failure, stability issues of a currency union and of the banking system.
Dynamic Asset Pricing (EN) This course provides an advanced, research-oriented introduction to the methods and results of continuous-time (dynamic) asset pricing. Financial Econometrics II (EN) The course aims to give students the tools to write academic papers and is divided into two parts. The first part covers microeconometric methods including panel data, IVs, difference-in-differences, and regression discontinuity design. The second part covers structural estimations methods. Game Theory (EN) Game theory deals with multiperson strategic decision making. Major fields of Economics, such as Microeconomics, Corporate Finance, Market Microstructure, Monetary Economics, Industrial Organization, International Trade Theory all build on game theoretic foundations. Big Data and Machine Learning for Financial Economics (EN) This class is an introduction to Machine Learning and High-Dimensional Statistics in Finance. We start with a purely empirical approach, focusing first on high-dimensional regressions, then moving to kernel methods and deep learning, and then studying equilibrium implications. Asset pricing (EN) Its main objective is to rigorously develop the foundations of modern financial economics and asset pricing theory. While the focus of the course is theoretical, we will consider empirical evidence alongside. The course is designed for first-year PhD students in finance. Empirical Corporate Finance (EN) The aim of this course is to develop research capabilities in empirical corporate finance, introduce methodologies to
conduct empirical research in corporate finance, develop research ideas for term papers and dissertation topics. Sustainable Food: production, health & society (FR) The course presents various issues related to sustainable food: production, food security, nutrition and health, social and cultural issues. The interdisciplinary approach integrates social sciences and engineering sciences and introduces group work and scientific methodology. Sustainable Food: production, health & society (FR) The course offers an overview of issues linked to nutrition: sustainable production, food security, food safety, as well as food and health. The interdisciplinary approach integrates SHS with engineering sciences and introduces students to team work and to scientific methodology. Climate change A: causes, impacts, challenges (FR) The course deepens global climate-related issues: the climate system; the impacts of climate change; justice issues and governance ; climate objectives and policies. The interdisciplinary approach introduces group work and scientific methodology. Climate change B: causes, impacts, challenges (FR) The course deepens global climate-related issues: the climate system; the impacts of climate change; justice issues and governance; climate objectives and policies. The interdisciplinary approach introduces group work and scientific methodology. Diversity and Sustainability in Human Mobility (EN) Human and freight mobility in large cities is a complex process with dense population and many transport modes to compete for limited space. New emerging modes of transport, such as on-demand services, and new technologies, such as autonomous vehicles, create additional opportunities and challenges. Health A: Innovation, Equity, Sustainability (FR) The course provides an interdisciplinary examination of key global health challenges, focusing on biomedical innovations, pharmaceuticals, sustainability, mental health, and health policies. It offer a critical skillset to engineering students approaching these complex health challenges. Health B: Innovation, Equity, Sustainability (FR) The course provides an interdisciplinary examination of key global health challenges, focusing on biomedical innovations, pharmaceuticals, sustainability, mental health, and health policies. It offer a critical skillset to engineering students approaching these complex health challenges. Why do we live in a risk society? (FR) Are we living in a “risk society” ? To answer that question, we will analyze the various social processes (from the invention of probabilities to the rise of insurance companies, from the securing policies to the victims’ mobilisations) that contribute to the emergence of risk. Japan and China facing the challenge of modernization (FR) The course provides an introduction to the contemporary history of Japan and China. The success of Japan’s modernisation process, followed by the development of militarism, led to a confrontation with China, which was plagued by internal unrest and a regime of unequal treaties. Media, communication and culture (FR) This lecture would like to propose the creation of a knowledge about the history of media phenomenon and its involvements in Western society from the nineteenth to the twenty-first century. It provides the skills necessary to understand current events going back to their origins. State and human rights (FR) This course presents a basic introduction to the rights protecting citizens from government abuse. Social psychology and diverse societies (FR) This course examines the opportunities and challenges of multicultural societies: Students will be introduced to relevant theories and research in the field of intercultural social psychology. Artistic practices â cyber-criticism (FR) The class « Cyber-Critical Artistic Practices » proposes to question the contemporary implications of digital technology by the means of art. Philosophy of biology (FR) Identify and understand central issues in the philosophy of biology, notably about biological evolution and the emergence of life. Evaluate and compare crucial arguments in the debates. Synthesize the discussion and thus formulate and defend one’s own position. Musicology and aesthetics (FR) Recount the history of musical styles practiced in classical music of the 20th century. Understand and analyze the various contexts, musical languages and the currents of ideas. Know some of the major works of the classical repertory of the 20th century. Work and organisations – work collectives (FR) This course-seminar aims to address the collective organization of work from a sociological rather than a managerial perspective. It explores the past, present, and future of human labor in a context of profound transformation. History of energy: from windmills to nuclear power (FR) This seminar-course deals with the development of energy-related technologies in Switzerland in the 19th and 20th centuries. Thanks to the interactive analysis of period documents (sources), the student develops an awareness of the relationship between the technological and the social. Artistic practices – imagining and drawing (FR) This course offers students an overview of contemporary drawing through exploration and experience, and more specifically to think of drawing as an economy. Regular practice is accompanied by presentations and references mainly from the artistic field. Contemporary Russia: from the Empire to the USSR (FR) This course, through a thematic and chronological approach, examines the major events that shaped Russia and the Soviet Union between 1800 and 1940, as well as the profound territorial, social, and cultural transformations whose legacy continues to influence the contemporary world. Graphic Design – Illustrative approach (FR) The course offers a practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial Design – Initiation project (FR) The course consists in practical teaching that allows acquiring the bases of industrial design by confronting the students with the creation of an object. Wellbeing and Planetary Boundaries (FR) A course for future scientists and engineers who want to build judgement under complexity: how to set priorities, assess trade-offs, and contribute to wellbeing for all within planetary boundaries. Psychology and social cognition (FR) This course addresses the main contributions of social psychology in the field of social cognition: 1) modes of information processing, 2) the perception of self and others, 3) the activation and regulation of behavior, and 4) the relationships between cognition and emotion. Gender and representation (FR) This course contextualizes gender in daily practices to critique it and to expose the lines of force that run through it and the hierarchies it creates. Students will develop their critical judgment to enable them to defend their theoretical and political positions.
Introduction to affective and social psychology (FR) This course introduces the foundations of affective and social psychology. It draws on key theories, fundamental research, and core methods in the field to understand how affective, motivational, and social factors shape behavior. Film history and theory (FR) JAPANESE CINEMA, IMAGINATION OF DISASTER: This course aims to offer a history of cinema through the prism of Japanese cinema, and different critical and theoretical approaches linked to the production of representations of disaster. Business law (FR) This course provides legal tools for the analysis of concrete economic situations and the identification of relevant rules from a business perspective. Science and Politics in Times of Crisis (EN) This course examines the role of scientific knowledge during high-stakes political crises related to health, climate, and the economy. In a group project, students apply evidence-informed policymaking frameworks to design a crisis management plan. Introduction to cognitive psychology (FR) This course introduces the foundations of cognitive psychology through the study of major cognitive processes such as attention, perception, learning, and memory. It draws on key theories, fundamental research, and core methods in the field to understand cognition. Ancient Mediterranean: gods, heroes and monsters (FR) The course explores the myths and founding texts of ancient cultures (the biblical world, Greece, Rome, Egypt). By exploring their meanings and how they have been received, it aims to unfold a history of the imagination that helps us better understand the diverse nature of our own culture. Philosophy of science (FR) This course offers to identify and understand central issues in the philosophy of science, for instance the debate on different models of scientific explanation. Evaluate and compare crucial arguments in the debates. Present a position/a debate and manage the discussion. Musicology and history of music (FR) Recount the historical practices of improvisation from early music of the Renaissance to present modern day. Understand and analyze the various contexts, styles, musical genres in which improvisation is at the forefront. Know some of the major works from the classical repertory and the treatises. Contemporary Iran (FR) This course is an introduction to contemporary Iran. It emphasizes on the three dimensions of Iranian identity: nationalism (Iranian culture), Shi’ism, Western influence. History of international relations (FR) This course examines international relations during the Cold War and discusses the enduring dynamics that have emerged from this global history and continue to shape the world today. Competing with China (FR) The course raises awareness on the implications of China’s emergence as an economic and technological power by developing a critical approach on the domestic and international challenges created by such a transition. What are scandals made of ? (FR) The aim of this course is to understand these recurrent and disruptive social phenomena that constitute scandals, affairs and controversies, which have in common to be made of mobilisations. Contemporary international history (FR) Brain, mind and society (FR) This course aims to address topics related to research on brain causes of human actions. The course will introduce to fundamental concepts in psychology, cognitive and social neurosciences and the links between brain and mental illness. Health, populations and society (FR) This course uses the topic of tobacco as a guideline for exploring the various dimensions of a major public health problem and its multiple implications. The teachers will extend the discussion of tobacco products to other similar issues. Global health issues will be addressed. Feminist Studies of Science and Technologies (FR) This course proposes to explore the field of Feminist Science and Technology Studies
(Feminist STS) in order to learn how to decipher issues of gender, race and class related to science and technology. Sports competitions and environmental issues (FR) This curse proposes to work on the relationship between international sport competitions and environmental issues (from the 1920s to the present day). For the sake of consistency, the focus will be on the Olympic Games (summer and winter). Contemporary Africa (FR) This course is an introduction to the central questions at stake in contemporary Africa. Considering the sheer impossibility of “understanding Africa”, the course will explore case-studies and themes, starting with the image of Africa in the world, using the tools of historical analysis. Chine : une nouvelle puissance globale ? (FR) The course examines contemporary China, from Deng Xiaoping’s economic opening to its rise as a global power. It explores its industrial transformation, internationalization through FOCAC and the Belt and Road Initiative, as well as its internal and external political and geopolitical challenges. History and theory of photography (FR) The class offers an introduction to the history of photography trough the presentation of ten key notions, analysed historically from the 19th to the 21st century. Musical theory and creativity (EN) This course provides an introduction into music theory and analysis, composition, and creativity, and combines theoretical teaching with hands-on practical exercises and music making.
Human evolutionary biology (FR) Evolutionary psychology is a discipline at the intersection of biology, psychology, anthropology, and the social and natural sciences that examines human psychological traits and behaviors from an evolutionary perspective. Learning and collaboration in projects (EN) This course addresses the theoretical and practical basis of learning and how to facilitate learning through projects. Active exploration of models, contexts and tools used in project-based learning will help you to develop cognitive and collaboration skills applicable to any project-based context.
Introduction to linguistics (FR) This introductory course is devoted to linguistics, it focuses on the units, rules and functions of human languages. Infrastructures et sciences sociales (FR) This course offers a perspective from social sciences to analyzing infrastructures (from planning to their governance). It will address issues of ecology, accessibility, contestation, risks, and citizenship based on different case studies worldwide. Global issues of the digital society (FR) The course presents current global issues related to instant communication and social media. The interdisciplinary approach integrates humanities and social sciences, as well as engineering sciences and introduces students to group work and the scientific approach. Artificial intelligence and society (FR) This course integrates social sciences and humanities with engineering sciences, and introduces students to the social, technical and political issues surrounding artificial intelligence. Science, Technology & Vulnerability (FR) This course explores how science and technology can address extreme vulnerability caused by poverty, crises, and conflict in the context of climate change. The course describes key principles for designing sustainable solutions tailored to the needs of affected populations. Equality and technology (FR) This course explores the meaning of equality, its realization in society, and its relation to technology. Sustainable Management and Finance (EN) This course provides the foundations of sustainable management and finance. It details how the transgression of planetary boundaries affects our economic organization, reviews the responsibility of corporations and examines the levers of action for the State and the Finance sector Science fiction and digital dystopias (FR) The aim of this course is to study the various manifestations of totalitarian worlds in (science) fiction. More specifically, we will examine how writers narrate human alienation from the digitalâas well as the anthropological functions of such narratives. Energy and innovation (FR) This course offers an introduction to the technical, social, and economic fundamentals of energy. You will acquire core knowledge to engage in informed discussions on energy-related topics. The course also explores the role of innovation. The Energy Transition : challenges and opportunities (FR) This course explores the energy transition from a system based on fossil fuels to a model based on decarbonised energy sources, sobriety and efficiency, and highlights the main technological, socio-economic and geopolitical issues involved. Mediterranean Antiquity: the past in the present (FR) Pop culture has always drawn, and continues to draw, on the myths and figures of the ancient Mediterranean. Egypt, Greece and Rome inspire video games as well as mainstream films, series, comics and novels. The aim of this course is to analyse such works. The graphic novel genius: Alan Moore (FR) This course aims to cover the works of comic book writer Alan Moore, arguably the most influential writer of all time, and to introduce students to concepts of comic book analysis, from the simplest to the most complex, in order to demonstrate the richness of this medium. Utopian and dystopian environments (FR) This course will analyze the literary genres of utopia and dystopia through the prism of ecopoetics and environmental issues, in a French-language corpus that crosses science fiction, the anticipation narrative and the post-apocalpytic novel. Data-driven interface design (EN) This course explores how data from digital interactions can be analyzed to improve design, usability, and engagement. Students will learn quantitative methods to collect, organize, and interpret data, generating insights to enhance digital services and user experiences.
Video games and society (FR) This class is an introduction to sociological perspectives on culture through the study of video games. Relying on research on the production of culture and audience studies, it sheds lights on its uses and its economics. Graphic Design – Experimental approach (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial design – form, function and materials (FR) Practical teaching that allows acquiring the bases of industrial design by confronting the students with the creation of an object. Law of technological research (FR) Between law and ethics, this course presents the standards that govern research and, more specifically, research involving human beings. Students will acquire a global and practical vision of this subject. Digital Health and International Human Rights Law (EN) The proposed course provides an introduction to international human rights law (IHRL), its interpretation and mechanisms, and analyses its interactions with the use of digital solutions and AI in healthcare Visual culture, image history (FR) This course offers a material and environmental approach to images and media from the nineteenth to the twentieth century (magic lantern, photography, film, digital media, AI, etc.). Global environmental history (FR) This course focuses on the debates and theories around the concept of the Anthropocene. It offers a critical analysis of the human origins of climate change and explores the political implications of this phenomenon for global environmental management. Ancient Mediterranean: Love, war and death (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions helps us to better understand the heterogeneous nature of our own culture. Physics and philosophy in the 20th century (FR) Philosophy of nature : Physics and philosophy in the 20th century. The course considers the philosophy of physics from Newton via Einstein to quantum physics Sciences, raison et foi (FR) The purpose of this course is to examine the various relationships that exist between science and religion. Modern India: politics, society and religion (FR) The course offers an overview of modern Indian history, from the colonial era to the present, to help students understand the unique characteristics and challenges of this vast country. Topics covered include colonialism, the partition of India and Pakistan, and the development of the modern state. Engineers and society – Careers and prospects (FR) This course-seminar gives participants the opportunity to understand how the profession has evolved and to reflect on their future role as engineer-managers in a context of profound change. Artistic Practices – Artificial intelligence (EN) Artificial Intelligence (AI) is changing how we imagine stories, experiences, and interactions. Rather than treating AI as a threat to existing creative practices, we will explore how different AI tools can open new ways of thinking, making, and prototyping. China, Korea and Japan after World War II (FR) The course examines the development of East Asian countries during the Cold War: the victory of the Communist Party in China, the reconstruction and second modernisation of Japan, and the wars in Korea and, if time allows, Vietnam. Thinking differently about video games (FR) The objective of the course is to develop a methodology for analyzing video games, with the help of Games Theory, Fiction Theory and Gameplay Theory. The aim will be to present how video games can be used to illuminate knowledge and, in turn, to be illuminated by it. Design graphique – approche communicative (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Design industriel – projet expérimental (FR) The course offers an exploration and experimentation of the specificities of industrial design by engaging students in the creation of an object. It is a practice-based course centered on the development of a semester project. Transport and energy: historical approaches (FR) This workshop-course deals with the development of mobility-related technologies in Switzerland in the 19th and 20th centuries. Thanks to the interactive analysis of period documents (sources), the student develops an awareness of the relationship between the technological and the social. Media and society (FR) This course explores the history of superheroes with the aim of raising students’ awareness of the processes by which cultural phenomena are constructed and empowered within the media sphere. It provides the skills to understand current phenomena by tracing them back to their origins. Ancient Mediterranean: bringing myths up to date (FR) In the form of group projects, the course explores the founding texts of ancient cultures (Ancient Near East, Greece, Rome, Egypt).
At the end of the semester, the groups present their work in a fun and educational way. Capitalism, Socialism, and the History of Ideas (FR) This course provides an introduction to the history of economic ideas through an examination of the major debates that have opposed proponents of capitalism, socialism, and alternative forms of economic organization. Social psychology: Social perception (FR) This Social Psychology course covers the social-cognitive processes involved in social judgment and impression formation. Introduction to intellectual property law (FR) This course provides basic knowledge about the various intellectual property rights that every engineer and scientist has to deal with. Students will become familiar with the legal systems pertaining to patents, trademarks and copyright. Science, Technology and Society (FR) This course will explore the complex relationships between science, technology and society. It will enable students to acquire theoretical and methodological tools drawn from the Social Studies of Science and Technology (STS), in particular through an investigation of a controversy.
Memory sciences (FR) Describe cognitive and cerebral processes underlying memory and self processes.
Identify differences and similarities between neurobiological and clinical approaches.
Understand theoretical and clinical concepts underlying psychoanalysis and their scientific implications.
Darwin, religion and science (FR) This course takes the long history of opponents of Darwin and Darwinism (creationists, neo-creationists, supporters of intelligent design) to try to understand their strategies and arguments.
Innovation and emerging markets (FR) The course raises students’ awareness of the importance of emerging markets in the global innovation landscape. It provides modeling tools for analyzing product and service innovations in the context of emerging markets. Digital humanities (FR) This course explores how the Humanities are being transformed in the age of AI and big data. Each session focuses on the future of a specific discipline (history, philosophy, art history). Students develop a digital prototype (Vibe coding) to accelerate research and training in SHS. Foreign relations and Switzerland (FR) Based on a critical analysis of archives, this course will address the major stages in Swiss History in the 19th-20th centuries through the scope of the country’s international relations. Video games and gamification (FR) This course offers the opportunity to acquire skills in video game creation, while inviting students to apply their knowledge to a collective project of gamifying scientific content. Anthropology of belief (FR) This course is an introduction to the question of conspiracy theories especially in the field of science Perspectives critiques de la durabilité (FR) This course will start from the paradigms of sustainability and contemporary social and political consequences. We will take a critical approach to the various theories, identify the actors who promote them and study the social movements.
Manufacturing artistic identities from the 19th to the 21st centuries (FR) The course offers an introduction to the history of contemporary art from the 19th to the 21st century, allowing the works to be approached from an aesthetic and social point of view. Design for sustainability I (EN) This course explores and practices some of the fundamental tools of designing for sustainability with a focus on the sustainability, desirability, and economic viability of solutions. Design for sustainability II (EN) This course explores and practices some of the fundamental tools of designing for sustainability with a focus on the sustainability, desirability, and economic viability of solutions. Artistic practices: field studies, film practice I (FR) This course consists in two options, in english and in french: ‘Elsewhere Encounters’ will explore different approaches of field studies from within the field of artistic practices ; ‘Film’ addresses cinematographic techniques and will produce a short film. Media culture I (FR) This course provides theoretical and methodological foundations for a sociological approach of media (particularly sports media). It helps students to think critically the media culture and its effects. Media culture II (FR) This course provides theoretical and methodological foundations for a sociological approach of media (particularly sports media). It helps students to think critically the media culture and its effects. Graphic design I (FR) This course offers practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial design I (FR) This course introduces students to the fundamentals of industrial design through the design and development of a functional object. The project concludes with the realization of a functional prototype, produced in collaboration with a local artisan or industrial partner. Thinking the nature I (FR) The course in an open approach to the constructions of Nature by different sciences and cultures. It emphasises the plurality of appearances of the object called “Nature” and the roles which it plays or are given to it, notably in opposition to the artificial. Law and technology I (FR) This course presents the legal framework applicable to certain issues in technical fields, such as construction law, computer law, biotechnology, data protection, digitalisation, robotization. Graphic design II (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. The ethics of engineering I (EN) Working in groups, students provide an ethical analysis of technological applications. They study how their features combine with the socio-material environment to impact values, and what solutions are available to change this impact in desirable ways. Industrial design II (FR) This course introduces students to the fundamentals of industrial design through the design and development of a functional object. The project concludes with the realization of a functional prototype, produced in collaboration with a local artisan or industrial partner. Political Systems in Central and Eastern Europe I (EN) This course compares political regimes in Central and Eastern Europe, linking domestic dynamics with external constraints. It examines authoritarian, hybrid, and democratic trajectories, including Central European democracies and Swiss direct democracy.
Political Systems in Central and Eastern Europe II (EN) This spring continuation guides students through an individual research project on political regimes in Central and Eastern Europe, focusing on external constraints, economic dependence, sanctions, authoritarian adaptation, hybrid regimes, and comparative democracies, including Switzerland. Law and technology II (FR) This course presents the legal framework applicable to certain problems. This course presents the legal framework applicable to certain problems in technical fields, such as construction law, computer law, biotechnology, data protection, digitalisation, robotization. Humans/machines (FR) This course combines cultural (particularly literary and artistic), social and scientific approaches to explore the issues, perspectives and problems raised by the hybridization of human and machine. Philosophical perspectives on the exact sciences I (EN) The course considers central themes in the philosophy of science. Starting from the debate between Leibniz and Newton about space and time, we move on to the transition from classical to quantum physics, the explanatory role of mathematics and philosophical questions about artificial intelligence. Picture history I (FR) The class proposes to examine Expo 64, the Swiss National Exhibition held in Lausanne in 1964, inviting students to engage with its remnants in order to revive its history and shed light on its contemporary resonance. Myths of the ancient Mediterranean Sea I (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions, it helps us better understand the heterogeneous nature of our own culture. L'(in)action pro-environnementale I (FR) This Social Psychology course examines the gap between intentions and behaviors, the barriers to individual and collective action, and the moral justification mechanisms that allow inaction to persist despite awareness of environmental issues. L'(in)action pro-environnementale II (FR) This Social Psychology course examines the gap between intentions and behaviors, the barriers to individual and collective action, and the moral justification mechanisms that allow inaction to persist despite awareness of environmental issues. Montreux Jazz, Classical and Contemporary Music I (FR) The aim of this course is to produce a 15-minute audiovisual documentary on a musical topic of the student’s choice, ranging from the 17th century to the present day (classical music, jazz, and other musics), with the option to work with the Montreux Jazz Festival archives. Montreux Jazz, Classical and Contemporary Music II (FR) Continuation of the HUM-421(a) course, including the project Understanding modern Switzerland I (EN) This course provides a general introduction to Swiss history, its culture, its economy and its political system since 1848 until today. Digital health & social psychology I (EN) Does more data mean better health? Drawing on health and social psychology, this course questions the biomedical model as socially situated, questioning whether the promises of digital health to improve wellbeing are supported by the research behind them. Digital health & social psychology II (EN) Does more data mean better health? Drawing on health and social psychology, this course questions the biomedical model as socially situated, questioning whether the promises of digital health to improve wellbeing are supported by the research behind them. Critical thinking I (EN)
This course will develop logical reasoning and argumentation skills to enable you to influence decision making. You will achieve this by learning how to represent and communicate your reasoning as arguments, and by continuously practicing logical reasoning and problem solving in teams.
Science, technology and environment II (EN) Science and technology have profoundly transformed our world. In the current crisis, they emerge as both solutions and problems. The course explores the complex relations between science, technology, and ecological issues. Students will conduct their own inquiry of human-transformed environments. History of globalization I (EN) Globalization is the linguistic omnivore of our times. This course addresses the long history of worldwide encounters and goes behind the rosy vision of a global village. It gives particular attention to inequalities and to the men and women who fought for alternatives to capitalism. Science, technology and environment I (EN) Science and technology have profoundly transformed our world. In the current crisis, they emerge as both solutions and problems. The course explores the complex relations between science, technology, and ecological issues. Students will conduct their own inquiry of human-transformed environments. Philosophy of life sciences I (FR) Understand and discuss central issues in the philosophy of life sciences, e.g. that of reductionism or why free will might be an illusion. Transpose problems and arguments from one debate to another. Evaluate the impact of the scientific worldview on us. Philosophie des sciences de la vie II (FR) Evaluate the main positions in a chosen philosophical debate. Develop in your group a solid approach to one or more philosophical problems of that debate. Defend your analysis and conclusions. How people learn: Designing Learning Tools I (EN) The students will understand the cognitive and social factors which affect learning – particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. How people learn: Designing Learning Tools II (EN) The students will understand the cognitive and social factors which affect learning – particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. China: the rebirth of a great power I (FR) Through the lens of how China becoming global, it will provide understanding, not only on its impacts to the world, but also on how Chinese globalization has brought transformations to the contemporary Chinese society. Managing organizations I (FR) This class is about organization management, going from entrepreneurship to people management in corporations, public administration or non profit organization studies. In particular, participants will learn to manage projects and practice leadership. Sciences and religions I (FR) The aim of this course is to explore the complex relationships between science and religion (conflict, concordism, complementarity) Scientific research in all it forms I (FR) This course offers a multidisciplinary perspective on research. While addressing this topic, speakers from different faculties will shed light on their own way of practicing research.
Passive knowledge of French required.
China: the rebirth of a great power II (FR) Through the lens of how China becoming global, it will provide understanding, not only on its impacts to the world, but also on how Chinese globalization has brought transformations to the contemporary Chinese society. Contemporary Japan I (EN) Introduction into the culture of Japan – its thought and way of life – designed to foster future study of the archipelago. We elucidate the specificities of a Japanese identity that is imbued with both tradition and openness to innovation, to create sustainability – society, economy, environment. Contemporary Japan II (EN) Introduction to the culture of Japan – its thought and way of life – designed to foster future study of the archipelago. It elucidates the specificities of a Japanese identity that is imbued with both tradition and openness to innovation, for creating sustainability – society, economy, environment. Sciences and religions II (FR) Can one be a scientist and a believer at the same time? Is science the enemy of faith? Should a scientist always be an atheist or an agnostic? These are some of the questions dealt with in this seminar. Its purpose is to present the various forms of the debate between science and religion. Digital urban history: Lausanne Time Machine I (FR) This course is part of a series of interdisciplinary and collaborative courses open to students from UNIL and EPFL.
It focuses on urban history through the application of computational methods and the development of a digital project in group. Artistic practices: field studies, film practice II (FR) This course consists in two options, in english and in french: ‘Elsewhere Encounters’ will explore different approaches of field studies from within the field of artistic practices ; ‘Film’ addresses cinematographic techniques and will produce a short film. Myths of the ancient Mediterranean Sea II (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions, it helps us better understand the heterogeneous nature of our own culture. Philosophical perspectives on the exact sciences II (EN) The course considers central themes in the philosophy of science. Starting from the debate between Leibniz and Newton about space and time, we move on to the transition from classical to quantum physics, the explanatory role of mathematics and philosophical questions about artificial intelligence Digital urban history: Lausanne Time Machine II (FR) This course is part of a series of interdisciplinary and collaborative courses open to students from UNIL and EPFL.
It focuses on urban history through the application of computer methods and the development of a digital project. Scientific research in all it forms II (FR) Au cours d’un travail pratique, l’étudiant aura l’occasion de s’initier à une méthode ou technique de recherche qui lui est peu familière (ex: entretien semi-directif, questionnaire, enquête de terrain, analyse conceptuelle, recherche historique, etc.). The ethics of engineering II (EN) This module focuses on the idea of value in design and the ethics of artefacts more in general. Managing organizations II (FR) This class is about organization management, going from entrepreneurship to people management in corporations, public administration or non profit organization studies. In particular, participants will learn to manage projects and practice leadership. History of globalization II (EN) Globalization is the linguistic omnivore of our times. This course addresses the long history of worldwide encounters and goes behind the rosy vision of a global village. It gives particular attention to inequalities and to the men and women who fought for alternatives to capitalism. Humans/machines II (FR) This course combines cultural (particularly literary and artistic), social and scientific approaches to explore the issues, perspectives and problems raised by the hybridization of human and machine. Thinking the nature II (FR) The course in an open approach to the constructions of Nature by different sciences and cultures. It emphasises the plurality of appearances of the object called “Nature” and the roles which it plays or are given to it, notably in opposition to the artificial. Understanding modern Switzerland II (EN) Based on the knowledge acquired during the fall semester course (Understanding modern Switzerland I), students are asked to work by group of 3-4 students and prepare a paper on a topic previously discussed with the teachers. Picture history II (FR) The seminar proposes to examine Expo 64, the Swiss National Exhibition in 1964, inviting students to engage with its remnants in order to revive its history and shed light on its contemporary resonance. Economic growth and sustainability II (EN) In this seminar, students work in groups to prepare a report illustrating material taught in the first semester. Specifically, the groups will choose a significant environmental impact or resource use, and apply decomposition analysis to understand the role of the underlying drivers. Economic growth and sustainability I (EN) This course examines growth from various angles: economic growth, growth in the use of resources, need for growth, limits to growth, sustainable growth, population growth. Although grounded in economics, it takes up elements from many other disciplines. Media in Transition: History and Issues in Discourse I (FR) Dive into the transformations of news media in the 20th and 21st centuries. In this project-based course, you will develop a critical perspective on journalism (from print to today’s digital practices), meet practitioners, and learn how to create an online exhibition. Media in Transition: History and Issues in Discourse II (FR) Dive into the transformations of news media in the 20th and 21st centuries. In this project-based course, you will develop a critical perspective on journalism (from print to today’s digital practices), meet practitioners, and learn how to create an online exhibition. Ecological transition: theory and practice I (FR) This course, taught in English, explores the challenges of the ecological transition. It covers various topics (climate, biodiversity, energy, transition theories, sustainable business models, etc.) and includes field trips as well as partnerships with local stakeholders involved in the transition. Ecological transition: theory and practice II (FR) This course, taught in English, explores the challenges of the ecological transition. It covers various topics (climate, biodiversity, energy, transition theories, sustainable business models, etc.) and includes field trips as well as partnerships with local stakeholders involved in the transition. Emotion, value, and life-defining choices I (EN) Most of us aspire to live meaningful lives. Yet, many of us would struggle to explain what a meaningful life is. This course provides philosophical tools and frameworks useful to understand our aspiration for meaning.
Emotion, value, and life-defining choices II (EN) In this master’s project seminar, students prepare a high-quality article embodying the philosophical ideals of clarity, concision, and aspiration to truth. Students also defend the claim made in their article by delivering a professional presentation.
Critical thinking II (EN) Critical Thinking II (HUM 484) builds on concepts acquired in Critical Thinking I (HUM 425). Please read HUM 425 for Critical Thinking I & Critical Thinking II course contents, transversal skills, learning outcomes, and course methodologies. These two courses are offered together only. Comment enseigner la durabilité I (FR) Get involved in sustainability education by exploring learning theories, facilitation, and reflection on the education ecosystem that will help you develop your mindset, knowledge and skills to teach complex problems in the sustainability course for Bachelor students (ENV-101). Médiation scientifique I (FR) This course is an introduction to the theory and practice of science outreach and public engagement. This year, it will culminate in the creation and delivery of an educational and interactive workshop for a group of young people. Writing and Thinking with Generative AIs I (FR) How do generative AIs transform our ways of reading, writing, and thinking?
To address these questions, we need to analyze AI-assisted writing processes using the concepts and methods of textual linguistics and genetic criticism. Médiation scientifique II (FR) This course is an introduction to the theory and practice of science popularization. Writing and Thinking with Generative AIs II (FR) How do generative AIs transform our ways of reading, writing, and thinking?
To address these questions, we need to analyze AI-assisted writing processes using the concepts and methods of textual linguistics and genetic criticism. Comment enseigner la durabilité II (FR) In this semester-long group project, you will explore teaching practices within a large-scale sustainability course. Observation, problem formulation and group preparation and reflection on teaching sustainability will help you develop strategies to support learning of complex problems. Theoretical Foundations of Learning Sciences 1 (EN) How do people learn and how can we support learning? This is part 1 of a two-part course that provides an overview of major theoretical perspectives that attempt to describe how learning works, and serves as an introduction to interpreting education as a means of designing learning environments. Theoretical Foundations of Learning Sciences 2 (EN) How do people learn and how can we support learning? This is part 2 of a two-part course that provides an overview of major theoretical perspectives that attempt to describe how learning works, and serves as an introduction to interpreting education as a means of designing learning environments. Introduction to Methods in Learning Sciences 1 (EN) This is part 1 of a two part course that provides students with knowledge and skills in collecting, processing and analyzing educational data, including different lenses to view the nature of inquiry in the field, research designs, and an overview of quantitative and qualitative methods. Introduction to Methods in Learning Sciences 2 (EN) This is part 2 of a two part course that provides students with knowledge and skills in collecting, processing and analyzing educational data, including different lenses to view the nature of inquiry in the field, research designs, and an overview of quantitative and qualitative methods. JDPLS Winter school (EN) Two-day Winter School in Emmetten, Switzerland with JDPLS thesis directors and students. Students presented their recent research and took part in small-group discussions. Two keynote speakers gave presentations and joined discussions with students JDPLS Summer school (EN) Two-day Summer School , location TBD with JDPLS thesis directors and students. Students presente their recent research and take part in small-group discussions. Two keynote speakers will give presentations and join discussions with students. Advanced analysis I – real analysis (FR) Study of the fundamental concepts of analysis, differential and integral calculus Advanced analysis I (FR) In this course, we will study the fundamental concepts of real analysis, and the calculus of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) Study the fundamental concepts of analysis, and the differential and integral calculus of real-valued functions of one real variable. Analysis I (German) (FR) Study of fundamental concepts of analysis and differential/integral calculus of univariate functions.
Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (English) (EN) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of one real variable. Analysis I (flipped classroom) (FR) Study the fundamental concepts of analysis, and the differential and integral calculus of real-valued functions of one real variable. Advanced analysis II – vector analysis (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Advanced analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (English) (EN) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Advanced linear algebra I – vector spaces (FR) The aim of this course is to the basic notions of linear algebra (for future mathematicians) and provide rigorous proofs of the main results on this topic. Advanced linear algebra I (FR) The purpose of this course is to introduce the basic notions of linear algebra and to prove the main results of the subject. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear algebra (english) (EN) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear algebra (flipped classroom) (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. This class is given with a flipped design. Algebra I – fundamental structures (FR) The aim of this course is to introduce and study the basic notions of abstract algebra. Advanced linear algebra II – diagonalization (FR) The purpose of the course is to introduce the basic notions of linear algebra and to prove rigorously the main results of the subject. Advanced linear algebra II (FR) The purpose of this course is to introduce some basic notions of linear algebra and to rigorously prove the main results in the field. Geometry for architects (FR) This course introduces geometry through its key concepts, systems, and modes of representation. It explores the link between manual geometry and digital tools, from constructing forms to their transformation, fabrication, and automation. Probability and statistics (FR) The course introduces the basic notions of probability and statistical inference, with an emphasis on the main concepts and the most commonly used methods. Mathematics (FR) This course aims at giving the basic mathematical knowledge needed for architecture studies in an engineering school. Analysis III (FR) Vector Calculus. Complex Analysis. Analysis III (EN) The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in solving multidisciplinary problems in scientific engineering. Analysis III (for SV, MT) (FR) The course studies the fundamental concepts of vector analysis and Fourier analysis with a view to their use in other courses and for solving multidisciplinary problems in science and engineering. Analysis III (FR) The course studies the fundamental concepts of vector analysis and Fourier analysis with a view to their use in solving multidisciplinary problems of scientific engineering. Analysis III (for IC) (EN) The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in solving multidisciplinary problems in scientific engineering. Analysis IV – complex analysis (EN) This course provides a rigorous introduction to complex analysis in one variable, emphasizing the interplay between analytic, geometric, and topological ideas. Students will develop both a conceptual understanding of the main theorems and practical techniques for analyzing complex functions.
Analysis IV (FR) At its core, it is a functional analysis course for physicists and covers the basics of measure theory, function spaces and linear operators. Analysis IV (for SV, MT) (FR) This course is an introduction to complex analysis, Laplace transforms, tempered distributions and their Fourier transform, and to their use in the resolution of ordinary differential equations and partial differential equations. Analysis IV (for EL, GM, MX) (FR) This course serves as an introduction to the theory of complex analysis, Fourier series and Fourier transforms, the Laplace transform, with applications to the theory of ordinary and partial differential equations. These tools play an integral role in most branches of science and engineering. Analysis IV (EN) The course studies the fundamental concepts of complex analysis and Laplace analysis with a view to their use to solve multidisciplinary scientific engineering problems. Analysis III – Lebesgue, Fourier, vector fields (FR) The course covers the following topics:
-Vector calculus
-Lebesgue integral
-Fourier Analysis
Algebra II – groups (FR) This course deals with group theory, with particular emphasis on group actions and notions of category theory. Analyse numérique et optimisation (FR) To learn how to solve numerically various mathematical problems. The theoretical properties of these methods will be investigated. Differential geometry I – curves and surfaces (FR) This course is an introduction to classical differential geometry, which studies the geometric properties of curves and surfaces in the Euclidean space. Algebra III – rings and fields (FR) This is an introductory course in ring and field theory. Topology I – point set topology (FR) We’ll start by seeing how the notion of continuity for functions between Euclidean spaces generalizes to functions between metric spaces. We’ll then study in detail the elegant and powerful axiomatization of these notions in the framework of topological spaces. Topology II – fundamental groups (FR) We study the topological notions of union and quotients of spaces; we discuss covering spaces and fundamental groups further, The notion of cell attachement is introduced and the Seifert-van Kampen Theorem is proven. Examples of surfaces illustrate the techniques. Probability I (FR) The course is an introduction to probability theory. We aim to introduce the modern formalism (based on the notion of measure), to connect it with the ‘intuitive’ aspect of probabilities, but also to become familiar with the probabilistic way of thinking. Probability and statistics (for IC) (FR) An introduction to probability theory and statistics. Probability and statistics (FR) The course is an introduction to probability and statistics for physicists. Probability and statistics (FR) This course covers elementary notions of probability theory and statistics, such as inference, tests, and regression. Probability and statistics (FR) This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression. Probability and statistics (FR) This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression. Probability and statistics (for SV) (EN) Introduction to notions of probability and basic statistics. Statistics (FR) This course provides an introduction to the mathematical treatment of the theory of statistical inference using the concept of likelihood as a unifying theme. Advanced numerical analysis I (EN) Construction and analysis of numerical methods for the solution of problems from linear algebra, integration, approximation, and differentiation.
Numerical analysis (FR) This course presents numerical methods to solve mathematical problems such as systems of linear and nonlinear equations, function approximation, integration and differentiation, and differential equations. Numerical analysis (EN) The students will learn key numerical techniques for solving standard mathematical problems in science and engineering. The underlying mathematical theory and properties are discussed. Numerical analysis (FR) This course introduces and analyzes numerical methods for solving mathematical problems such as linear and nonlinear systems, approximation of functions, integration and differentiation, as well as differential equations. Numerical analysis (EN) The course presents numerical methods for solving mathematical problems such as systems of linear or nonlinear equations, function approximation, integration and differentiation, and the solution of differential equations. Discrete mathematics (EN) Study of structures and concepts that do not require the notion of continuity. Graph theory, or study of general countable sets are some of the areas that are covered by discrete mathematics. Emphasis will be laid on structures that the students will see again in their later studies. Discrete optimization (EN) This course is an introduction to linear and discrete optimization.
Warning: This is a mathematics course! While much of the course will be algorithmic in nature, you will still need to be able to prove theorems. Introduction to optimization and operations research (EN) Introduction to major operations research models and optimization algorithms Ordinary differential equations (FR) The course gives a rigorous introduction to the main topics of the theory of ordinary differential equations (ODE’s). ODE’s are fundamental to the theories of dynamical systems and partial differential equations. Some applications in those fields will be studied. Functional analysis I (FR) Some basic concepts of linear functional analysis: bounded operators, compact operators, spectral theory for symmetric and compact operators, Hahn-Banach theorem, the open mapping and closed graph theorems.
Measure theory (EN) This course provides an introduction to the theory of measures and integration on abstract measure spaces. Introduction to partial differential equations (EN) This is an introductory course on Elliptic Partial Differential Equations. The course will cover the theory of both classical and generalized (weak) solutions of elliptic PDEs. Algebra (EN) This is an introduction to modern algebra: groups, rings and fields. Algebra IV – rings and modules (EN) Ring and module theory with a major emphasis on commutative algebra and a minor emphasis on homological algebra.
Number theory I.b – Analytic number theory (EN) The aim of this course is to present the basic techniques of analytic number theory. Representation theory I – finite groups (EN) This is a standard course in representation theory of finite groups. Algebra V – Galois theory (EN) Galois theory lies at the interface of Field Theory and Group Theory. It aims to describe the algebraic symmetries of fields. We will focus on Galois theory for finite field extensions and some applications. Set theory (EN) Set Theory as a foundational system for mathematics. ZF, ZFC and ZF with Atoms. Relative consistency of the Axiom of Choice, the Continuum Hypothesis, the reals as a countable union of countable sets, the existence of a countable family of pairs without any choice function, and so on. Differential geometry II – smooth manifolds (EN) Smooth manifolds constitute a certain class of topological spaces which locally look like some Euclidean space R^n and on which one can do calculus. We introduce the key concepts of this subject, such as vector fields, differential forms, etc. Topology III – Homology (EN) Homology is one of the most important tools to study topological spaces and it plays an important role in many fields of mathematics. The aim of this course is to introduce this notion, understand its properties and learn how to compute it. There will be many examples and applications. Topics in complex analysis (EN) The goal of this course is to treat selected topics in complex analysis. We will mostly focus on holomorphic functions in one variable. At the end we will also discuss holomorphic functions in several variables Algebraic geometry I – Curves (EN) Algebraic geometry is the common language for many branches of modern research in mathematics. This course gives an introduction to this field by studying algebraic curves and their intersection theory. Continuous optimization (EN) This course introduces students to continuous, nonlinear optimization. We study the theory of optimization with continuous variables (with full proofs), and we analyze and implement important algorithms to solve constrained and unconstrained problems. Randomization and causation (EN) This course covers formal frameworks for causal inference. We focus on experimental designs, definitions of causal models, interpretation of causal parameters and estimation of causal effects. Number theory I.c – Combinatorial number theory (EN) This is an introductory course to combinatorial number theory. The main objective of this course is to learn how to use combinatorial, topological, and analytic methods to solve problems in number theory. Bayesian statistics (EN) A first introduction to Bayesian statistics, assuming knowledge from first courses in statistics and probability. We will focus on foundational statistical and mathematical aspects such as the decision theoretic background, consistency for large sample sizes, and algorithms for Bayesian computation. Linear models (EN) Regression models are fundamental in statistics, because they describe how the law of a random variable of interest may depend on other variables. This course introduces students to the core theory and methods of linear statistical models. Time series (EN) A first course in statistical time series analysis and applications. Advanced numerical analysis II (EN) The student will learn state-of-the-art algorithms for solving differential equations. The analysis and implementation of these algorithms will be discussed in some detail. Causal thinking (EN) This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability II: Discrete time processes (EN) A first course in advanced theoretical probability, focused on discrete families of random variables. Probability III: Continuous time processes (EN) This course extends the concepts exposed in Probability II into the world of continuous time. We explore martingales and Markov processes, guided by the core examples of Brownian Motion and Poisson Processes. A particular emphasis is placed on Brownian Motion, with its innumerable applications. Graph theory (EN) The course aims to introduce the basic concepts and results of modern Graph Theory.
Mathematical logic (FR) Field of mathematics with close connections to the foundation of mathematics and theoretical computer science. Centered on 1st order logic and the intricate relations between syntax and semantics. It is also a course in which mathematical practice becomes an object of mathematical study Risk and environmental sustainability (EN) This course gives an introduction to the assessment of risk with a particular focus on modelling of rare events, which can have huge environmental impacts. Randomized matrix computations (EN) This course is concerned with randomized algorithms that have been developed during the last two decades to solve large-scale linear algebra problems from, for example, scientific computing and machine learning. Emphasis will be placed on both, the development and analysis of such algorithms. Functional analysis II (EN) We introduce locally convex vector spaces. As an example we treat the space of test functions and the space of distributions. In the second part of the course, we discuss differential calculus in Banach spaces and some elements from nonlinear functional analysis. Harmonic analysis (EN) An introduction to methods of harmonic analysis.
Covers convergence of Fourier series, Hilbert transform, Calderon-Zygmund theory, Fourier restriction, and applications to PDE. Regression methods (EN) General graduate course on regression methods
Riemann surfaces (EN) This course is an introduction to the theory of Riemann surfaces. Riemann surfaces naturally appear is mathematics in many different ways: as a result of analytic continuation, as quotients of complex domains under discontinuous group actions, as algebraic curves. Statistical machine learning (EN) A course on statistical machine learning for supervised and unsupervised learning Stochastic simulation (EN) The student who follows this course will get acquainted with computational tools used to analyze systems with uncertainty arising in engineering, physics, chemistry, and economics. Focus will be on sampling methods as Monte Carlo, quasi Monte Carlo, Markov Chain Monte Carlo. Probabilistic models of modern AI (EN) This is a course where we will cover various topics related to recent progress in AI. Emphasis will be on understanding conceptual and mathematical principles, and on relating those to experimental data for machine learning models used in practice. Abstract analysis on groups (EN) We study analytic phenomena on groups, notably paradoxical decompositions such as Banach-Tarski, fixed point properties and harmonic functions. Number theory II.c – Selected topics (EN) This year’s topic is “Addictive combinatorics.” We will introduce various methods from additive
combinatorics, establish sum-product type theorems over finite fields and derive various applications (bounds for exponential sums, construction of
expander graphs). Heat kernel and analysis on manifolds (EN) This course develops the theory of the heat equation on Riemannian manifolds. We introduce the Laplace-Beltrami operator, the heat semigroup, and the heat kernel, study its fundamental properties, and explore how it “sees” the geometry of the underlying space. Functional data analysis (EN)
A rigorous introduction to the statistical analysis of random functions and random operators. Viewing random functions either as random Hilbert vectors or as stochastic processes, we explore the rich interplay between nonparametrics and multivariate statistics in infinite dimensions.
Evolutional partial differential equations (FR) Fundamental techniques and theories for partial differential equations of evolution. Application to basic examples: first-order equations, wave equation, heat equation. The Cauchy-Kowalevsky theorem, abstract problems of evolution. Representation theory II – Lie algebras (EN) This is a standard course on Lie groups, Lie algebras and their representations. Theory of stochastic calculus (EN) Introduction to the mathematical theory of stochastic calculus: construction of the Ito stochastic integral, proof of the Ito formula, introduction to stochastic differential equations, Girsanov’s theorem and the Feynman-Kac formula, the martingale representation theorem. Calculus of variations (EN) Introduction to classical Calculus of Variations and a selection of modern techniques. The Calculus of Variations aims at showing the existence of minimisers (or critical points) of functionals that naturally appear in mathematics and physics (Dirichlet energy, p-energy, etc). Multivariate statistics (EN) Multivariate statistics focusses on inferring the joint distributional properties of several random variables, seen as random vectors, with a main emphasis on uncovering their underlying dependence structure. This course offers a broad introduction to its concepts, methods & theory Statistical analysis of network data (EN) A first course in statistical network analysis and applications. Biostatistics (EN) This course covers statistical methods that are widely used in medicine and biology. A key topic is the analysis of longitudinal data: that is, methods to evaluate exposures, effects and outcomes that are functions of time. While motivated by real-life problems, some of the material will be abstract Numerical integration of stochastic differential equations (EN) In this course we will introduce and study numerical integrators for stochastic differential equations. These numerical methods are important for many applications. Numerical approximation of PDEs (EN) This course covers the derivation, theoretical analysis, and implementation of the finite element method for the numerical approximation of partial differential equations in one and two spatial dimensions. Numerical integration of dynamical systems (EN) In this course we will introduce and study numerical integrators for multi-scale (or stiff) differential equations and dynamical systems with special geometric structures (symplecticity, reversibility, first integrals, etc.). These numerical methods are important for many applications. Computational linear algebra (EN) This course provides an overview of advanced techniques for solving large-scale linear algebra problems, as they typically arise in applications. A central goal of this course is to give the ability to choose a suitable solver for a given application. Parallel and high-performance computing (EN) This course provides insight into a broad variety of High Performance Computing (HPC) concepts and the majority of modern HPC architectures. Moreover, the student will learn to have a feeling about what architectures are suited for several types of algorithms and learn to program for them. Numerical analysis and computational mathematics (EN) The course provides an introduction to scientific computing. Several numerical methods are presented for the computer solution of mathematical problems arising in different applications. The software MATLAB is used to solve the problems and verify the theoretical properties of the numerical methods. Programming concepts in scientific computing (EN) The aim of this course is to provide the background in scientific computing. The class includes a brief introduction to basic programming in c++, it then focuses on object-oriented programming and c++ specific programming techniques. Typical class hierarchies of computational software are addressed. Mathematical modelling of behavior (EN) Discrete choice models allow for the analysis and prediction of individuals’ choice behavior. The objective of the course is to introduce both methodological and applied aspects, in the field of marketing, transportation, and finance. Martingales in financial mathematics (EN) The aim of the course is to apply the theory of martingales in the context of mathematical finance. The course provides a detailed study of the mathematical ideas that are used in modern financial mathematics. Moreover, the concepts of complete and incomplete markets are discussed. Optimal transport (EN) The first part is devoted to Monge and Kantorovitch problems, discussing the existence and the properties of the optimal plan. The second part introduces the Wasserstein distance on measures and develops applications of optimal transport to PDEs, functional/geometric inequalities, gradient flows. Dispersive PDEs (EN) This course will give an introduction to some aspects of nonlinear dispersive partial differential equations. These are time evolution problems that arise in many contexts in physics, such as quantum mechanics, electrodynamics, fluid motion and relativity. Number theory I.a – Algebraic number theory (EN) Algebraic number theory is the study of the properties of solutions of polynomial equations with integral coefficients; Starting with concrete problems, we then introduce more general notions like algebraic number fields, algebraic integers, units, ideal class groups… Gödel and recursivity (EN) Gödel incompleteness theorems and mathematical foundations of computer science Introduction to stochastic PDEs (EN) Stochastic PDEs are used to model systems that are spatially extended and include a random component. This course gives an introduction to this topic, including some general measure theory, some Gaussian measure theory and some linear semigroup theory. Introduction to multi-scale stochastic dynamics (EN) This course introduces slow/fast systems and the mathematical tools used to derive effective equations governing their behaviour. Students will learn core concepts and techniques for rigorously analysing complex stochastic multi-scale systems. Topology IV.b – Algebraic K-theory (EN) Algebraic K-theory, which to any ring R associates a sequence of groups, can be viewed as a theory of linear algebra over an arbitrary ring. We will study in detail the first two of these groups and some of their applications to other areas of mathematics.. Number theory II.d – Cryptography (EN) . Topology IV.b – homotopy theory (EN) We propose an introduction to homotopy theory for topological spaces. We define higher homotopy groups and relate them to homology groups. We introduce (co)fibration sequences, loop spaces, and suspensions. We study long exact sequences. We construct Eilenberg-Mac Lane spaces. Mathematical aspects of materials modelling (EN) The simulation of materials properties from first principles is a key component of modern materials science research. We discuss common simulation techniques (such as plane-wave density-functional theory) from a mathematical perspective, outline robust algorithms and error estimation techniques. Distribution and interpolation spaces (EN) The goal of this course is to give an introduction to the theory of distributions and cover the fundamental results of Sobolev spaces including fractional spaces that appear in the interpolation theory. Those notions are central to the study of partial differential equations (PDE). Scientific machine learning (EN) This course covers topics of scientific machine learning. Part I focuses on sequential-in-time training of nonlinear parametrizations for numerically solving partial differential equations. Part II treats generative modeling of physical processes. This is a project-based course. Algebraic geometry II – schemes and sheaves (EN) The aim of this course is to learn the basics of the modern scheme theoretic language of algebraic geometry. Optimization on manifolds (EN) We develop, analyze and implement numerical algorithms to solve optimization problems of the form min f(x) where x is a point on a smooth manifold. To this end, we first study differential and Riemannian geometry (with a focus dictated by computational concerns). We also discuss several applications Applied statistics (EN) The course will provide an overview of everyday challenges in applied statistics through case studies. Students will learn how to use core statistical methods and their extensions, and will use computational and problem-solving tools to provide reproducible solutions for the problems presented. Statistical computation and visualisation (EN) The course will provide the opportunity to tackle real world problems requiring advanced computational skills and visualisation techniques to complement statistical thinking. Students will practice proposing efficient solutions, and effectively communicating the results with stakeholders. Ergodic theory (EN) This is an introductory course in ergodic theory, providing a comprehensive overlook over the main aspects and applications of this field. Empirical processes (EN) We learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning. Euclidean and hyperbolic geometries (FR) We will present the evolution of the foundations of geometry, from Euclid up until Hilbert when non euclidean gemoetries were largely accepted. We will also explore some classical topics, aiming at developping the student’s culture and taste for geometry. Kinetic and non-equilibrium conservation laws (EN) Study of kinetic models and non-equilibrium conservation laws, linking particle interactions to macroscopic behavior. Covers analysis, simulation, and modeling across scales and media using kinetic theory, reduced-order models, and particle methods. Algebraic geometry III – selected topics (EN) This course is an introduction to the theory of algebraic curves and surfaces.
An important aim of the course is to develop geometric intuition while using the language of schemes developed in the basic algebraic geometry course, thus building a solid foundation for further study.
Representation theory III – infinite dim. algebras (EN) This course serves as an introduction to the theory of infinite-dimensional Lie algebras.
Intrusive and non-intrusive model reduction (EN) Intrusive and non-intrusive model reduction for parametrized partial differential equations and dynamical systems Geometry and dynamics of hyperbolic surfaces (EN) This course begins by describing and classifying hyperbolic surfaces before focussing on their geodesic flow. Topics include ergodicity, mixing, the Anosov property and equirepartition of closed geodesics. Spectral theory (EN) This course is an introduction to the spectral theory of linear operators acting in Hilbert spaces. The main goal is the spectral decomposition of unbounded selfadjoint operators. We will also give elementary applications to the analysis of PDEs. Statistical inference (EN) Inference from the particular to the general based on probability models is central to the statistical method. This course gives a graduate-level introduction of the main ideas of statistical inference. Student seminar in pure mathematics (EN) The goal of the seminar is to learn the main aspects of de Rham cohomology following the book of Bott-Tu ‘Differential Forms in Algebraic Topology’. We will aim to understand the definition of Chern classes of a vector bundle, a fundamental concept in topology, differential and algebraic geometry. Convex geometric analysis (EN) In this course we study the fundamental notion of convexity at the interface of analysis and geometry, an area that has seen remarkable progress in recent years. Optimization and simulation (EN) Master state-of-the art methods in optimization with heuristics and simulation.
Work involves:
– reading the material beforehand
– class hours to discuss the material and solve problems
– homework
Scientific programming for Engineers (EN) The students will acquire a solid knowledge on the processes necessary to design, write and use scientific software. Software design techniques will be used to program a multi-usage particles code, aiming at providing the link between algorithmic/complexity, optimization and program designs. Topics on the Euler and Navier-Stokes equations (EN) This topics course focuses on recent and classical fundamental results on the Euler and Navier-Stokes equations, such as global existence of weak solutions, (non)uniqueness results, blow-ups, partial regularity, anomalous dissipation. Topics in dispersive PDE (EN) This course assumes familiarity with beginning graduate level real analysis, complex analysis and functional analysis, and also basic
harmonic analysis, as well as fundamental concepts from differential geometry. Statistical consulting and collaborations (EN) Analyzing data for a collaborator or client is very different from working on your own research project ; not only do you need competences in statistics, you must also ensure good communication (both ways) in a multi-disciplinary environment, coordination of the work, and the management of everyone. Lattice Gauge Theories (EN) The aim of this course is to learn about lattice gauge theories, but also a bit about their (potential) continuum limits. Math Outreach (EN) This course offers 2nd-, 3rd-, and 4th-year PhD students an exciting opportunity to engage in math outreach activities. Designed for students passionate about communicating mathematics to the public and engaging meaningfully with the community. From Interacting particle systems to SPDEs (EN) The aim is to introduce all the necessary tools to understand recent results on the convergence of the fluctuation field of nonequilibrium particle systems to solutions of stochastic partial
differential equations. Reading group in applied topology II (EN) In this reading group, we will work together through recent important papers in applied topology. Participants will take turns presenting articles, then leading a discussion of the contents. Reasoning in artificial intelligence (EN) Large language models have raised the potential of artificial intelligence in various applications, including science and mathematics, but their reasoning capabilities remain under investigations. This class focuses on defining, measuring and improving the reasoning capabilities of such AI models. Perspectives on Randomness in Statistic (EN) This course covers different notions of randomness in statistics. The participants obtain an understanding of popular frameworks (frequentist, Bayesian, design-based etc.), and learn to compare them and assess their suitability for specific applications. Perfectoid and prismatic methods (EN) Contents: mixed characteristic geometry, perfectoid rings, primsatic cohomology and their applications to Kodaira type vanishing theorems. Working group in Topology I (EN) The theme of the working group varies from year to year. Examples of recent topics studied include: Galois theory of ring spectra, duality in algebra and topology, and topological algebraic geometry. Working group in Topology II (EN) The theme of the working group varies from year to year. Examples of recent topics studied include: Galois theory of ring spectra, duality in algebra and topology, topological algebraic geometry and twisted K-theory K-stability (EN) The topic is K-stability of Fano varieties, including (as time permits): the definitions, the equivalences of definitions, examples, the connection to the existence Kahler-Einstein metrics, and the construction of the moduli space. Winter School on Optimization and Operations Research (I) (EN) The objective of the Winter School is to expose the audience to modern topics on Optimization and Operations Research. Every year, two prominent researchers are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students. Winter School on Optimization and Operations Research (II) (EN) The objective of the Winter School is to expose the audience to modern topics on Optimization and Operations Research. Every year, two prominent researchers are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students. Summer School on RNLA (EN) A diverse group of lecturers delivers lectures that span foundational concepts as well as advanced topic in randomized numerical linear algebra, including techniques for matrix factorizations, eigenvalue computations, and the solution of linear systems. Reliable ML: from LLMs to cyber-physical systems (EN) Interacting systems ranging from biological networks and social webs to critical infrastructures like power grids pose distinctive modeling challenges. The school presents the reliable machine learning approaches fundamentals and state-of-the-art methods to tackle problems across application domains Mechanical construction I (for ME) (FR) The ME-101 course is designed to teach students the rules and standardized language of technical communication, as well as the fundamentals of mechanical design. It relies on practical drawing exercises on paper and includes a hands-on introduction to Computer-Aided Design. Mechanical construction II (for ME) (FR) The ME-102 course aims at acquiring a solid basis in technical culture in order to be able to apply it to real-life examples of mechanical engineering, through a review of the concepts, components, and methodologies used in this field, and the achievement by the students of a group-based project. Solid mechanics I : intro to structural mechanics (EN) The student will acquire the basis for the analysis of static structures and deformation of simple structural elements. The focus is given to problem-solving skills in the context of engineering design. Introduction to mechanical design (FR) The ME-105 is aimed to teach the standardized language of the technical communication in the field of mechanical engineering and a basis in technical culture, through a review of the concepts, components, and methodologies, together with the achievement by the students of a group-based project. Mechanical construction I (for MT) (FR) The ME-106 course is designed to teach students the rules and standardized language of technical communication, as well as the fundamentals of mechanical design. It relies on practical drawing exercises on paper and includes a hands-on introduction to Computer-Aided Design. Mechanical construction II (for MT) (FR) The ME-107 course aims at acquiring a solid basis in technical culture in order to be able to apply it to real-life examples of mechanical engineering, through a review of the concepts, components, and methodologies used in this field, and the achievement by the students of a group-based project. Scaling Law for ME engineers (FR) The course offers an introduction to order-of-magnitude analysis, dimensional analysis, and scaling laws. These techniques are applied across various contexts useful to the mechanical engineer. Mechanical systems (FR) This course aims to deepen the understanding of the operating laws of several major mechanical principles widely used in machine construction, in order to be able to size them in the most common concrete cases. Programmation pour ingénieur (FR) Build on the basic programming concepts learn last semester. Develop a simple program. Debug methods and good practice. Introduction to scientific programming. Introduction to data flow programming. Dynamical systems (EN) Provides the students with basic notions and tools for the analysis of dynamic systems. Shows them how to develop mathematical models of dynamic systems and perform analysis in time and frequency domains. Structural mechanics for SV (EN) This course aims to provide a concise understanding of how materials and structures react to loads. It covers the basics of stress and strain in multi dimensions, deformation and failure criteria. The course is tailored to problems students from life science might encounter. Mechanics of structures (For GM) (FR) Master the fundamentals of stress and strain analysis of linear elastic beams subjected to tension, shear, torsion, and bending; influence coefficients and the energy method for analyzing isostatic and hyperstatic systems; failure criteria. Thermodynamics and energetics I (EN) The course introduces the basic concepts of thermodynamics and heat transfer, and thermodynamic properties of matter and their calculation. The students will master the concepts of heat, mass, and momentum conservation, and apply these concepts to thermodynamic cycles and energy conversion systems. Introduction to control of dynamical systems (FR) Introductory course on control of dynamical systems. Four key systems serve as the backbone to a unified abstract formalism. This formalism is then used to solve fundamental control problems such as tracking and disturbance rejection, with particular emphasis on guaranteeing closed-loop stability Fluid mechanics I : incompressible + TP (EN) Introduction to fluid mechanics, combining fundamental principles with their application to canonical flow problems. Measurement techniques (EN) Theoretical and practical course on experimental techniques for observation and measurement of physical variables such as force, strain, temperature, flow velocity, structural deformation and vibrations, etc. Microinformatique (pour GM) (FR) Understand Microcontrollers and learn to use them, especially for mechanical systems. Dynamical effects in mechanical design (FR) Ce cours poursuit la compréhension des effets cinématiques et dynamiques de systèmes mécaniques complexes et introduit les bases pour les comprendre et les modéliser. L’étudiant saura expliquer et modéliser la dynamique et choisir des modèles adéquats. Control systems + TP (EN) Provides the students with basic notions and tools for the analysis and control of dynamic systems. Shows them how to design controllers and analyze the performance of controlled systems. Chemical process control (EN) Provide the students with basic notions and tools for the modeling and analysis of dynamic systems. Show them how to design controllers and analyze the performance of controlled systems. Discrete-time control of dynamical systems (FR) An introduction to linear discrete-time control systems is provided which consists in applying a control at equally spaced time intervals. The consequence of the associated sampling process on the stability and performance of the closed-loop system is analysed in detail. Control systems and discrete-time control (FR) This course includes modelling and analysis of dynamic systems, basic principles and analysis of feedback control systems, controller design in frequency domain (loop shaping) and in state space (linear quadratic regulator), discrete-time systems and digital controller design (polynomial approach). Solid mechanics III (EN) This course focuses on the fundamental understanding and analysis of the mechanical behavior of engineering materials and their application in mechanical design, based on the continuum mechanics of solids. Mechanical vibrations (FR) In this course we study the modal dynamics of mechanical structures. During the course we will learn key concepts like Normal modes, effective mass and stiffness, and eigenfrequencies. Heat and mass transfer (EN) This course covers fundamentals of heat transfer and applications to practical problems. Emphasis will be on developing
a physical and analytical understanding of conductive, convective, and radiative heat transfer. Introduction to turbomachinery (EN) The course provides a foundational understanding of turbomachines, covering their classification, fundamental principles of fluid mechanics and key performance parameters. It delves into coordinate systems, velocity analysis, and the application of conservation laws to turbomachinery. Compressible-fluid dynamics (FR) Compressible flows, sonic speed, shock wave, expansion. Thermodynamics and energetics II (EN) This course will discuss advanced topics in thermodynamics with a focus on studying gas
phases, mixtures, and phase transformations. The application of these principles
to various practical systems such as batteries, fuel cells etc. will be discussed. Discretization methods in fluids (FR) This course provides an introduction to the approximation methods used for numerical simulation in fluid mechanics.
The fundamental concepts are presented in the context of the finite differences method and then extended to the finite and spectral element method. Finite element method (FR) In this course, the student gets acquainted with the theoretical aspects of the finite element method, the most commonly used computational technique for solving elliptic problems. He learns to apply the finite element method to simple test cases and to more complex problems faced in practice Finite element modelling and simulation (FR) The objective of this course is to learn how to carry out rigorous and critical finite element analyzes of realistic problems in solid mechanics using state-of-the-art CAE software. Experimental methods in biomechanics (FR) The aim of this course is to allow the students to become familiar with the basic techniques to measure the mechanical properties of different musculoskeletal tissues or biomaterials used in tissue engineering. Foundations of artificial intelligence (EN) This course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications. Applied mechanical design (EN) Students will be exposed to hands-on design problems throughout the term. They will acquire methodologies to (1) address open ended engineering problems, (2) cultivate creativity, (3) support decision making and (4) develop problem solving abilities.
Energy conversion and renewable energy (EN) This course presents an overview of (i) the current energy system and uses (ii) the main principles of conventional and renewable energy technologies and (iii) the most important parameters that define their efficiency, costs and environmental impacts. Mechanical product design and development (EN) Study and explore design principles of the different mechatronic components and systems. We will cover in-depth especially on meso-scale actuators, sensors and body construction methods. Mechanics of slender structures (EN) Analysis of the mechanical response and deformation of slender structural elements. Introduction to additive manufacturing (EN) The state of the art in the domain of additive production processes
(the part is built by material addition without use of a shape tool) will be presented.
The main application/benefits/shortcomings of the common additive processes as well as
technological and economical issues will be discussed. Production management (EN) Production management deals with producing goods sustainably at the right time, quantity, and quality with the minimum cost. This course equips students with practical skills and tools for effectively managing demand, supply, and implementing advanced analytics in manufacturing companies. System identification (EN) Identification of discrete-time linear models using experimental data is studied. The correlation method and spectral analysis are used to identify nonparametric models and the subspace and prediction error methods to estimate the plant and noise model parameters. Hands-on labs are included. Multivariable control (EN) This course covers methods for the analysis and control of systems with multiple inputs and outputs, which are ubiquitous in modern technology and industry. Special emphasis will be placed on discrete-time systems due to their relevance to digital and embedded control architectures. Model predictive control (EN) Provide an introduction to the theory and practice of Model Predictive Control (MPC). Main benefits of MPC: flexible specification of time-domain objectives, performance optimization of highly complex multivariable systems and ability to explicitly enforce constraints on system behavior. Micro/Nanomechanical devices (EN) In this course we will see an overview of the
exciting field of Micro and Nanomechanical systems. We will go over the dfferent scaling laws that dominate the critical parameters, how size affects material properties, how these devices are manufactured, designed and later used. Networked control systems (EN) This course offers an introduction to control systems using communication networks for interfacing sensors, actuators, controllers, and processes. Challenges due to network non-idealities and opportunities offered by communication will be analyzed. Data-driven design & fabrication methods (EN) There is an increasing need for data-driven methods for automated design and fabrication of complex mechanical systems. This course covers methods for encoding the design space, optimization and search approaches and digital fabrication methods. Game theory for multiagent decision-making (EN) Aeroelasticity and fluid-structure interaction (FR) Static and dynamic response of coupled fluid-structure systems as a result of extraneously-induced excitation, motion-induced excitation, and fluid-instability-induced excitation. Micro/Nano robotics (EN) The objective of this course is to expose students to the fundamentals of robotics at small scale. This includes a focus on physical laws that predominate at the nano and microscale, technologies for fabricating small devices, bioinspired design and control paradigms, and applications of the field. Hydroacoustic for hydropower plants (EN) Introduction to pressure wave propagation phenomena in hydraulic circuits, water hammer calculations, transient behaviour of hydroelectric plants, 1D numerical simulation of the dynamic behaviour of Francis, Pelton and Kaplan turbines, and study of the stability of these systems.
Hydrodynamics (EN) Nondimensionalized Navier-Stokes equations result in a great variety of models (Stokes, Lubrication, Euler, Potential) depending on the Reynolds number. The concept of boundary layer enables us then to identify the different components of the hydrodynamic drag. Wave drag is finally introduced. Aerodynamics (EN) This course will provide the fluid dynamic background to understand how air flows around two- and three-dimensional wings and bodies and to understand and calculate the aerodynamics forces and moments acting on the objects as a result of the air flow. Liquid-gas interfacial heat and mass transfer (EN) This course covers the fundamental analysis of liquid-gas interfacial heat and mass transfer in various contexts
including power generation, water purification, and cooling. Students will learn about the multiscale physics involved in
evaporation, boiling, and condensation. Industrial process and energy systems engineering (EN) Using a project based learning approach, this lecture present industrial process and energy system engineering techniques to design integrated industrial and urban system for a sustainable energy transition. Hydraulic turbomachines (EN) Master lectures on Hydraulic Turbomachines: operating principles, design and innovation of impulse and reaction turbines, industrial pumps and pump-turbines. Thermal power plants (EN) Discussion of the types, principles and operation of thermal power plants with an emphasis on components (turbines, heat exchange, boiler) both for the state-of-the-art (60% of total world power) and for advanced concepts, considering both natural and renewable fuels and heat sources. Heat pump systems (EN) This course aims to study heat pumping cycles and technologies, and equipment, such as compressors (positive displacement and dynamic), heat exchangers, and expansion valves. Renewable energy (for ME) (EN) The students assess and compare all renewable energy resources, their real potentials, limitations and best applications (energy services). Solar thermal, solar electric, wood, bioliquids, biogas, hydropower incl. tidal and wave power, wind, geothermal incl. heat pumps and buildings. Cavitation and interface phenomena (FR) Introduction, basic concepts; cavitation bubble collapse; dynamique des cavits; cavitation in vorticalstructures; industrial applications. Introduction to nuclear engineering (EN) This course is intended to understand the engineering design of nuclear power plants using the basic principles of reactor physics. This course includes the following: Reactor designs, Nuclear safety and Reactor dynamics Advanced heat transfer (EN) The course will deepen the fundamentals of heat transfer. Particular focus will be put on radiative and convective heat transfer, and computational approaches to solve complex, coupled heat transfer problems. Instability (EN) This course focuses on the physical mechanisms at the origin of the transition of a flow from laminar to turbulent using the hydrodynamic instability theory. Turbulence (EN) This course provides an introduction to the physical phenomenon of turbulence, its probabilistic description and modeling approaches including RANS and LES. Students are equipped with the basic knowledge to tackle complex flow problems in science and engineering practice.
Solar energy conversion (EN) The course will provide fundamentals and technological details of solar energy conversion devices and systems, including 1) solar fuels by photoelectrochemistry, photocatalysis, and solar thermochemistry, 2) solar electricity by PV and concentrated solar power, and 3) solar heat by solar collectors. Nano-scale heat transfer (EN) In this course we study heat transfer (and energy conversion) from a microscopic perspective. First we focus on understanding why classical laws (i.e. Fourier Law) are what they are and what are their limits of validity. Next we discuss emerging opportunities in nanoengineering energy devices. Mechanics of soft and biological matter (EN) This course aims to provide students with a comprehensive understanding of theoretical and computation modeling approaches applicable to soft and biological matter, which closely aligned with currently active research topics. Dynamic finite element analysis of structures (EN) The course focuses on the dynamic analysis of 3D structures using the finite element method in the context of linear elasticity. Students will gain proficiency in numerical techniques widely employed in static and dynamic structural analysis, and apply these methods to address real-world problems. Numerical flow simulation (EN) This course provides practical experience in the numerical simulation of fluid flows. Numerical methods are presented in the framework of the finite volume method. A simple solver is developed with Matlab, and a state-of-the-art software is used for more complex problems. Biomechanics of the musculoskeletal system (EN) The basis for a mechanical description of the musculoskeletal system are presented. This description is based on the concepts of solid mechanics, physiology and anatomy of the musculoskeletal system. Concrete examples of the development of implants are also covered. Numerical methods in biomechanics (EN) Students understand and apply numerical methods (FEM) to answer a research question in biomechanics. They know how to develop, verify and validate multi-physics and multi-scale numerical models. They can analyse and comment results in an oral presentation and a written report. Continuous improvement of manufacturing systems (EN) Continuous Improvement encompasses the ongoing effort to capture, create, and deliver value to internal and external customers. This course empowers students to lead teams and harness technology to improve products, services, and processes. Product decarbonization and life cycle analysis (EN) This course will address the need to decarbonize engineered products and to reduce their environmental and societal impacts. Life cycle analysis (LCA) will be used as a tool to quantify the impacts of engineered products and to aid design of lower impact alternatives. Nonlinear Control Systems (FR) Analysis of nonlinear systems is performed towards controlling them. Stability in the sense of Lyapunov is introduced, together with geometrical methods (Exact Feedback Linearization). Various examples are treated (pen and pencil, and computer). Advanced control systems (EN) This course covers some theoretical and practical aspects of robust and adaptive control. This includes H-2 and H-infinity control in model-based and data-driven framework by convex optimization, direct, indirect and switching adaptive control. The methods are implemented in a hands-on lab. Engines and fuel cells (EN) The students describe and explain the thermodynamic and operating principles of internal combustion engines and all fuel cell types, identify the determining physical parameters for the operating regimes, the efficiencies and the polluting emissions, and compare the systems against each other. Innovation in and from space (EN) The course provides MA students with a strategic understanding of the space sector and how to translate research into industrial applications. It covers space economy, project mngt, leadership, and interdisciplinary innovation, with skills applicable to large transformative projects across sectors. Selected topics in poromechanics (EN) This course presents fundamental and selected topics of the mechanics and physics of fluid-infiltrated porous media with applications to geo-mechanics. Mathematical modeling and the techniques for the solution of the resulting initial boundary value problems will be emphasized (scaling,numerics…). Designing Testing Machines for Geomechanics (EN) Develop your own machines to meet your scientific needs. Learn how to build high-pressure, high-temperature machines, as well as low-to-high-speed friction machines for geomechanics experiments. Additionally, gain knowledge about commonly used sensors in geomechanics. Similarity and Transport Phenomena in Fluid (EN) The course is an introduction to symmetry analysis in fluid mechanics. The student will learn how to find similarity and travelling-wave solutions to partial differential equations used in fluid and continuum mechanics. The course covers mathematical and physical aspects Introduction to entrepreneurship (EN) This course provides an introduction to the field of entrepreneurship, in particular the process of new venture creation and the commercialization of technologies. It integrates theories of entrepreneurship with a practical, process-based
project, where students develop a business concept in teams. Technologie, économie et politique: en face des crises (FR) This course deals with the role of innovations as essential responses to the big potential crises of our time – the so-called Grand Societal Challenges. The course alternates theoretical presentations – based on micro-economic analysis – and case studies. Sustainable entrepreneurship (EN) This course introduces sustainable entrepreneurship through the creation of innovative startups addressing social and environmental challenges. Working in teams, students identify opportunities and develop sustainable business models using entrepreneurial tools. Game theory and strategic decisions (EN) Game theory studies the strategic interactions between rational agents. It has a myriad of applications in politics, business, sports. A special branch of Game Theory, Auction Theory, has recently guided the development of Ebay, Google advertising auctions, and of the Wireless spectrum auctions. Foundations in financial economics (EN) The aim of this course is to expose EPFL bachelor students to some of the main areas in financial economics. The course will be organized around six themes. Students will obtain both practical insights through real-world examples and understand how one can model the main economic trade-offs. Introduction to data driven business analytics (EN) This course focuses on methods and algorithms needed to apply machine learning with an emphasis on applications
in business analytics. Introduction to economics of innovation (EN) This class will provide students with an understanding of some real-world issues related to the “knowledge economy.” Why should we innovate as a society? Why innovation doesn’t just happen, and how can the government help firms innovate? We will answer these questions and others using economic tools Corporate strategy (EN) Why are some firms more successful than others? This is the fundamental question of strategy. The course aims to familiarize the student with the most important themes relevant for corporate strategy. We will take the a top management perspective to better understand decisions’ underlying complexity Strategic marketing & technology commercialization (EN) This course teaches students the power of building and implementing marketing strategies in order to help businesses to commercialize successfully their technological innovations.
It offers a large overview of modern marketing and is not suited for students with advances marketing knowledge. Management of intellectual property (EN) This class provides an introduction to the management of intellectual property (IP), primarily patents. It covers strategic and legal considerations related to IP. The class relies on formal lectures, case studies, debates, speakers, and a project. Design in innovation: creation for adoption (EN) Using a human-centered and transdisciplinary approach, this course applies a structured design process to develop creative and viable propositions benefiting both society and the economy. Applied corporate & industry analysis (EN) This course turns strategic theory into practice. Students learn established tools for analyzing companies and their industries, then apply them throughout the semester to a real firm, producing a hands-on analysis of its competitive position. Entrepreneurship & new venture strategy (EN) A foundational course on the science and practice of launching new ventures. The purpose is to study and experience the first stages of the entrepreneurial process: from the identification of promising opportunities to the development of a viable and innovative business concept. Technology & innovation strategy (EN) This course focuses on the economic and organizational conditions that shape technological innovation by firms. The intent is for students to learn core concepts that can make innovation initiatives within a firm more successful, and to then apply those concepts to real business problems and cases. Causal inference (EN) Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and
application will be balanced, with students working directly with network data throughout the course. Value chain management in practice (EN) Learn through practice (using a Value Chain Management simulation) the key drivers of effective Value Chain Management. From Purchasing to Sales, through Operations and Supply Chain Management, understand the key drivers of corporate performance. Convex optimization (EN)
This course introduces the theory and application of modern convex optimization from an engineering perspective. Innovation management (EN) In this course, you will learn state-of-the-art knowledge and best practices needed to successfully develop innovation-based growth and renewal strategies for organizations. Machine learning methods in econometrics (EN) This course aims to provide graduate students a grounding in the methods, theory, mathematics and algorithms needed to apply machine learning techniques to in business analytics domain. The course covers topics from machine learning, classical statistics, and data mining. Strategic management of innovation (EN) The purpose of this course is to describe innovation and how it impacts business dynamics. It also aims to teach students how to think strategically and holistically about technological innovation, new product development and market deployment. Logistics and demand analysis (FR) Logistics, a cross-disciplinary function par excellence, integrates all the dimensions of value-adding industrial processes, from supply to distribution to customers and beyond, while taking sustainable development into account. Particular emphasis will be placed on the forecasting approach. Project management and risk analysis (FR) This course focuses on a general approach to project management while assessing risk approach at each step of the project. Information: strategy & economics (EN) Introduction to the economics of information and its strategic ramifications. The main objectives are to use economic theory to understand strategic interactions in the presence of uncertainty, estimate the value of information, and to analyze competitive strategy in an information economy. Data science for business (EN) Students will learn how data science can support business decisions from prediction and evaluation to sequential decision-making. The course covers core machine learning tools for business analytics and introduces reinforcement learning as a framework for optimizing repeated business decisions. Technology Ventures I (EN) Technology Ventures provides a science-based foundation and hands-on experience in launching new ventures. By working on their own concepts, students learn to recognize attractive market opportunities, design scalable business models, and develop effective market-entry strategies. Algorithmic game theory (EN) We will study mathematical models of the interplay between algorithms and strategic behavior. We cover fundamental concepts from game theory and mechanism design, including Nash equilibria, the price of anarchy, auctions and market design, incentive compatibility, and online learning and dynamics. Technology Ventures II (EN) Technology Ventures provides a science-based foundation and hands-on experience in launching new ventures. By working on their own concepts, students learn to recognize attractive market opportunities, design scalable business models, and develop effective market-entry strategies. Technology, sustainability and public policy (EN) Technology is a driver of long-term growth but it can also undermine sustainable development. This course introduces microeconomic models of market and collective action failures, models of complex systems, as well as the design of optimal public policies to tackle these issues. Principles of microeconomics (EN) The course introduces students to the core tools and concepts of modern microeconomic analysis. Combining graphical reasoning and analytical methods, it emphasizes continuous links between theory and real-world economic issues. Practical business law (EN) The course covers the fundamental concepts of business law from a practical standpoint, including contracts and company law, intellectual property, data protection and competition law, with a special focus on issues specific to start-up companies. Negotiation techniques (EN) This course is designed to give you a practical, hands-on opportunity to learn the basics of negotiating, self leadership and the impact of culture. Strategies and techniques are presented and practiced that will enable you to develop your skills and become a confident negotiator. Leading and managing in a global context (EN) This course examines management and leadership concepts and provides tools to apply when working in global environments. Participants will explore and develop their self awareness and how to apply the course content to adapt the way they work with, lead and manage teams in a multicultural context. Intercultural presentation skills (EN) In this course students learn how make an effective presentation, structure and organize information, develop storytelling techniques, empathise with and engage diverse audiences, use visual support materials effectively, and manage challenges and Q&A with confidence and conviction. Sustainability in the global context (EN) This course equips you with the tools needed to evaluate the economic, historical, and political dimensions of climate change from a global perspective. You will also learn about the international institutions and megatrends shaping and constraining the solutions. Strategy, sustainability and innovation (EN) The current world of business is changing fast, in particular through the need to find a more sustainable economic model and through the rise of new technologies. These changes generate constraints but also tremendous opportunities to rethink competitive landscapes & to come up with disruptive strat Improve your personal effectiveness (EN) The aim of this integration week is to improve personal effectiveness by building self-awareness through activities, reflections, and academic material. You will have built trust and relationships that will help you work together in developing your leadership throughout the rest of the program. Improve your group effectiveness (EN) During the leadership integration sessions, you will learn what are the conditions for a team to effectively work together. You will explore the stages of group development and team dynamics. You will analyze team performance through the lens of the BART model. Principles of finance (EN) The course provides a market-oriented framework for analyzing the major financial decisions made by firms. It provides an introduction to valuation techniques, investment decisions, asset valuation, financing decisions, derivatives, and sustainable finance. Optimal decision making (EN) This course introduces the theory and applications of optimization. We develop tools and concepts of optimization and decision analysis that enable managers in manufacturing, service operations, marketing, transportation and finance to transform data into insights for making better decisions. Applied probability & stochastic processes (EN) This course focuses on dynamic models of random phenomena, and in particular, the most popular classes of such models: Markov chains and Markov decision processes. We will also study applications in queuing theory, finance, project management, etc. Complex problem solving in organizations (EN) As a professional you will need to solve all sorts of complex problems, requiring you to think strategically. This course develops your strategic thinking skills by giving you a demonstrated process and actionable tools that will be useful no matter the nature of the challenge you face. Economics for challenging times (EN) This course analyzes socio-economic issues related to poverty, inequalities, climate change, globalization, migration, AI, etc. We teach students how to analyze data using quantitative methods in economics and develop solutions compatible with the functioning of market economies. Introduction to ethics & critical thinking (EN) In a society that is changing at high speed, the solutions that we have learned and the challenges we face, do no longer fit together. The accelerating ecological crisis and digitalization are profoundly transforming our way of life. In times of great change and disorientation, ethics moves center s Data Science & Causal Inference for Sustainability (EN) This class explores key climate questions through data. Students will learn to collect, clean, and analyze data, apply causal methods using Python, and communicate insights clearly. With a focus on sustainability, the course builds skills to avoid pitfalls and draw meaningful conclusions. Data science and machine learning (EN) Hands-on introduction to data science and machine learning. We explore recommender systems, generative AI, chatbots, graphs, as well as regression, classification, clustering, dimensionality reduction, text analytics, neural networks. The course consists of lectures and coding sessions using Python. Environmental assessment and reporting (EN) Learn how to assess, analyse, report and communicate the environmental impacts of companies, projects and products considering whole value chains, i.e. applying Life Cycle Impact Assessment. State-of-the-art standards, methodologies, databases and indicators will be considered. Social entrepreneurship (EN) The purpose of this interdisciplinary course is to equip students with tools to make sense of, and act in, an ever more complex and interdependent world. Performance Management (EN) The objective of the course is to provide participants with the main processes and tools a company applies to evaluate the financial and non financial performance.
Supply chain management (EN) This course introduces key concepts in supply chain management. It uses a combination of case studies, simulation exercises, formal lectures and group discussions to illustrate how the various concepts can be successfully implemented in practice. Sustainable logistics operations (EN) We address quantitatively the management of logistics operations, focusing notably on their environmental impact. Considering practical situations, focus is paid on the optimization of logistics systems, in particular when the objective is to minimize their associated environmental footprint. Marketing & sustainability in a digital world (EN) The goal of this course is to understand the key role that marketing could be playing when firms seek to develop sustainable strategies : a positive force of change. This, however, will require a substantial re-orientation of current practices. Come with an open mind! Advanced sustainable accounting and finance (EN) Students will learn tools and techniques to improve society and create value from an accounting and finance perspective. This course will develop the student’s critical thinking, problem-solving and presentation skills to assess and understand the problematics linked to ESG investing and reporting. Nature finance (EN) This course explores the many financial instruments that can come as a support for protection and regeneration of natural assets. Communication for impact (EN) Effective communication is a critical skill in both personal and professional settings. This course is designed to equip you
with the fundamental principles and practical techniques to enhance your ability to communicate with impact. Sustainable transformation and future-fit business (EN) This course explores the practical side of sustainability in business, by diving into the key impact areas and examining concrete steps businesses can take to drive transformation. Students will work on a practical project with a company to identify and implement strategic impact improvements. Entrepreneurial Leadership Project – Spring (EN) This course, in collaboration with the Talent Kick program, helps aspiring student entrepreneurs gain hands-on entrepreneurial experience on the path from research into practice. Talent Kick is an initiative of the Kick Foundation. Innovation & entrepreneurship in engineering (EN) This course is a joint initiative between the School of Engineering and the College of Management to encourage and promote entrepreneurship and management skills, engineering design, hands-on experience, teamwork, and awareness of social and ethical implications in engineering and management. ESG accounting and reporting (EN) We will look at the trends that led to mandatory ESG reporting and to what extent they are affecting current business practice. Open Innovation Lab (EN) The Open Innovation Lab is an experiential, project-based course where students design open innovation strategies with industry partners. Teams tackle strategic challenges proposed by companies at the EPFL Innovation Park, applying classroom concepts to real innovation management problems. Introduction to econometrics (EN) The course provides an introduction to econometrics for economics, management, and financial applications. The objective is to learn how to make valid (causal) inference from economic and social data. Mathematical models in supply chain management (EN) Over the past decade, supply chain management has drawn enormous attention by industry and academia alike. Given an increasingly global economy, pronounced trends towards outsourcing and advances in information technology, more and more complex business relationships among companies have evolve Microeconomics (EN) This course presents a first introduction to microeconomic theory and its applications. It lays the foundation for more advanced courses. Publishing in Management, Technology and Innovation (EN) The seminar aims to improve doctoral students’ competencies in management, technology, and innovation to publish their work in leading academic journals. Technology and Public Policy – Technology and innovation policies for grand and global challenges (EN) This course addresses the design of policies for Grand Challenges. It aims at providing a policy toolkit – about innovation, economic regulation and societal inclusion – while supporting students about writing the first pillars of a roadmap to address one specific Grand Challenge. From lab to market: key steps (EN) In this course, participants will learn how to identify and evaluate market opportunities stemming from new technologies. It is targeted to everyone who seeks to create a startup or wants to understand critical steps in the innovation process. Electrotechnics I (FR) The course covers the basics of electrical circuits composed of linear components, in direct current (DC) operation. A series of transforming methods are studied. At the end of the semester, alternate current (AC) systems are treated (complex numbers). Many examples and demos illustrate the course. Electrotechnics II (EN) This course gives an introduction to electronic systems, building upon the foundational components you have learned about in Electrotechnique-I. You will study the frequency behavior of complex RLC systems, three-phase systems and time-dependent systems. Probability & statistics for engineers (EN) This course covers the basics of probability and statistical techniques for engineers, including major probability concepts, data analysis, and statistical inference. Mechanism Design I (FR) This course introduces the basics of structural mechanics: calculation of stresses and strains caused by external forces and calculation of strains. This theoretical training is applied to the design of important elements of precision mechanisms. Mechanism Design II (FR) This second semester develops creative design skills applied to the field of microtechnology mechanisms. It focuses both on knowledge (components, physical principles, dimensioning) and cognitive process of design. Microcontrollers (FR) Microcontrollers covers the internal operation of a microcontroller, basic notions of microprocessor architecture and computer systems as well as microcontroller interfaces and serial communication protocols. Machining training course in Microtechnics (FR) The Micro-220 machining practicum is a fundamental step in the engineering program at EPFL. This concise and intensive training exposes students to essential machining skills, a valuable asset for a future career. Manufacturing technologies (EN) This course gives an introduction to production methods and manufacturing technologies used in microengineering. The focus is given on the understanding of physical phenomena underlying the processes, the relation between materials, manufacturing processes and design, as well as economical aspects. Microfabrication I (EN) This course introduces the fundamental process technologies and applications of modern micro- and nanofabrication as practised in cleanroom environments. Microfabrication II (EN) This course focuses on advanced process technologies and microsystem integration strategies. Students will deepen their understanding of selected state-of-the-art fabrication techniques and learn how to design, optimise, and evaluate complete fabrication workflows for complex microsystems. Signals and systems I (for MT) (FR) Introduction of the basic concepts and mathematical tools for the characterization of signals and for the analysis and design of linear systems (filters or transmission channels). Application of these techniques to signal processing and communications. Signals and systems I (for SV) (FR) Introduction of the basic concepts and mathematical tools for the analysis and characterization of signals, the design of processing algorithms, and the linear modeling of systems for students in the life sciences. Application of these techniques to signal processing and communications. Signals and systems II (for MT) (FR) This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform). Physics of semiconductors devices (FR) The students are able to explain the physics of semiconductor devices like diodes, transistors, and MOS devices. They use such devices in fundamental electronic circuits, like inverters and amplifiers. Actuators and Electromagnetic systems I (FR) The course covers the main methods for the analysis of electromechanical systems. A study of magnetic physical quantities is followed by the conversion of electrical energy into mechanical energy. The permanent magnet is studied macroscopically. The dynamic aspect of the system is seen at the end. Actuators and Electromagnetic systems II (FR) The students will be able to model, simulate and measure actuators and electrical motors Embedded Systems and Robotics (FR) This course deals with the programming of embedded systems: cross-compilation, the use of FPU in microcontrollers, the use of DSP instructions and the mechanisms available in a Real-time Operating System. The whole is implemented in a robotic context. Optical engineering (for MT)
(FR) This class presents different facets of modern optics and emphasizes both rigorous foundations and practical applications. The course includes lectures and exercises, as well as experiments in the DLLs. Optical engineering (for EL) (FR) This class presents different facets of modern optics and emphasizes both rigorous foundations and practical applications. Sensors (FR) Physical principles and electronics used in sensors. Applications of sensors. Microfabrication practicals (EN) The goal of this course is to introduce students to the practical aspects of some basic micro-fabrication techniques. Wireless sensor practicals (EN) In this course, students will design, fabricate, and characterize a wireless sensor wearable. Students will design a custom-chosen wearable around a standardized wireless microcotroller platform, including the electronics and packaging, and will characterize and analyze its performance. Software architecture (FR) This courses covers topics in modern and industrial software architecture including: agile project management, specifications, development of critical applications, design patterns, robuste code, and devOps aspects (automating tests, and continuous integration and deployment) Advanced microfabrication practicals (EN) This TP allows for in-depth training on advanced micro and nanofabrication methods in a clean-room environment for selected applications, gain deeper knowledge in MEMS/NEMS processes, work in a small group together with PhD students/postdocs during 14 weeks touching all aspects of a microprocess. Light, liquids and interfaces (EN) This course provides an overview of relevant interactions in liquids, combining thermodynamics, statistical physics and pair potetnials. Water and aqueos systm,es will be considered in detail. Optical techniques to investigate liquid and liquid interfacial structure will treated. Machine learning programming (EN) This is a practice-based course, where students program algorithms in machine learning and evaluate the performance of the algorithm thoroughly using real-world dataset. Products design & systems engineering (EN) This course will cover all the aspects of product design and system engineering from learning relevant methods to the actual implementation in a hands-on practice of product development. Materials design for vat photopolymerization (EN) This course is focused on designing materials for vat photopolymerization 3D printing technologies. The course combines theoretical description with practical lab work where students will design, formulate, and print their own materials.
Laboratory introduction to biochemistry (EN) This course introduces engineers to the most commonly used techniques required to conduct work in Molecular Biology and Biochemistry. During this course students will generate and characterize a functional cell-free transcription translation system. Advanced additive manufacturing technologies (EN) Advanced 3D forming techniques for high throughput and high resolution (nanometric) for large scale production. Digital manufacturing of functional layers, microsystems and smart systems. Selected topics in advanced optics (EN) This course proposes a selection of different facets of modern optics and photonics. Computational optical imaging (EN) Modern imaging systems combine traditional optical devices (lenses, endoscopes, cameras, laser scanners, etc) with digital computers. In this course we learn how to use computational tools to simulate the optical system and combine them with neural networks that process the optical images Optics laboratories (spring) (EN) This laboratory work allows students to deepen their understanding of optical instruments, optoelectronic devices and diagnostic methods. Students will be introduced in state of the art optical instruments and measurement principles. Optics laboratories (autumn) (EN) This laboratory work allows students to deepen their understanding of optical instruments, optoelectronic devices and diagnostic methods. Students will be introduced in state of the art optical instruments and measurement principles.
Laser fundamentals and applications for engineers (EN) The course will cover the fundamentals of lasers and focus on selected practical applications using lasers in engineering. The course is divided approximately as 1/3 theory and 2/3 covering selected applications.
Metrology (EN) The course deals with the concept of measuring in different domains, particularly in the electrical, optical, and microscale domains. The course will end with a perspective on quantum measurements, which could trigger the ultimate revolution in metrology. Metrology practicals (EN) The student will get familiar with the techniques learnt in class (MICRO-428) and will put them to practice with experiments in the laboratory. There will be a practical training for each theme covered in class; the students will also learn good practices during measurements (lab notebook included). Quantum and nanocomputing (EN) The course teaches non von-Neumann architectures. The first part of the course deals with quantum computing, sensing, and communications. The second focuses on field-coupled and conduction-based nanocomputing, in-memory and molecular computing, cellular automata, and spintronic computing. Computational motor control (EN) The course gives (1) a review of different types of numerical models of control of locomotion and movement in animals, from fish to humans, (2) a presentation of different techniques for designing models, and (3) an analysis of the use and testing of those models in robotics and neuroprosthetics. Conceptual design of products and systems (FR) Reverse engineering – a methodology of discovering the technological principles of a device, object, or system through analysis of its structure, function and operation. The purpose is to deduce design decisions from end-products with little or no additional knowledge about the original production. Manufacturing systems and supply chain dynamics (EN) This course discusses quantitatively some important and generic performance and reliability issues that affect the behavior of manufacturing systems and supply chains. Applied Electromagnetics for Metamaterial Design (FR) This course provides the students with the appropriate electromagnetics foundation to understand, model and design metamaterials, especially two-dimensional electromagnetic and optical structures such as metasurfaces. This course covers concepts that apply to both the microwave and optical regimes. Basics of robotics for manipulation (EN) This course introduces the basics of robotics for manipulation. The aspects concerning robot architectures (Serial , Parallel and Cartesian), sensors, kinematics and dynamic modelling and control are presented. Each of these theoretical topics is i concern with a industrial context. Applied and industrial robotics (EN) This course is a real contact with industrial robotic applications. Components and mechanisms are reminded. The fields of microtechnical assembly and packaging are treated. CTOs from established companies (BlueBotics, Adept, Maxon motors and UniTechnologies) are involved in this course. Basics of mobile robotics (EN) This course gives an overview of the field of mobile robotics, introducing to the main techniques and allowing to test them in exercises and a team-based project. Robotics practicals (EN) The goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic devices, all the way to interactive robots. Machine learning I (EN) Real-world engineering applications must cope with a large dataset of dynamic variables, which cannot be well approximated by classical or deterministic models. This course gives an overview of methods from Machine Learning for the analysis of non-linear, highly noisy and multi dimensional data Learning and adaptive control for robots (EN) To cope with constant and unexpected changes in their environment, robots need to adapt their paths rapidly and appropriately without endangering humans. this course presents method to react within millisecunds. Fundamentals of integrated photonic components (EN) This course gives an introduction to basic integrated photonics components that are at the core of photonic nanotechnologies today. The course combines theoretical description with practical lab work where students will do simulations in CST Microwave Studio. MEMS Actuator practicals (EN) The goal of this practical work is to create thermal micro-actuators consisting of micro-cantilevers made out of silicon dioxide and covered by chromium meander-shaped electrical tracks and contact pads. Aerial robotics (EN) The course provides an introduction to the design, control, and applications of aerial robots. Students will be able to translate theoretical concepts into practice by means of hands-on exercises with simulated and real drones. MEMS sensors practicals (EN) The objective of this practical is to apply in specific experimental settings the knowledge acquired in various MEMS related class. Organic and printed electronics (EN) This course addresses the implementation of organic and printed electronics technologies using large area manufacturing techniques. It will provide knowledge on materials, printing techniques, devices, systems, and applications: state of the art and current status on commercialization. Legged robots (EN) The course presents the design, control, and applications of legged robots. It gives a review of different types of legged robots (including two-, four- and multi-legged robots), and an analysis of different control methods for legged locomotion. Embedded motor control (FR) The student will be able to design, implement and program a motor control electronic. He will know how to apply the theory of motor control to real systems. Image processing I (EN) Introduction to the basic techniques of image processing. Introduction to the development of image-processing software and to prototyping using Jupyter notebooks. Application to real-world examples in industrial vision and biomedical imaging. Image processing II (EN) Study of advanced image processing; mathematical imaging. Development of image-processing software and prototyping in Jupyter Notebooks; application to real-world examples in industrial vision and biomedical imaging. Nanophotonics (EN) Students understand and apply the physics of the interaction of light with semiconductors. They understand the operating mechanism of scaled photonic devices such as photodetectors, LEDs and lasers, as well as challenges and opportunities relating to their integration and dimensional scaling. Optical design with ZEMAX (EN) Introduction to computer-aided design of optical systems using “ZEMAX OpticStudio” optical design software. Principles of optical systems design and performance analysis with geometrical optics and raytracing. Evaluation and minimization of optical aberrations in an optical design. Quantitative imaging for engineers (EN) This course will arm students with knowledge of different imaging techniques for practical measurements in many different fields of engineering.
Modalities will range from drone imaging all the way down to x-ray microscopy with practical sessions Laser microprocessing (EN) The physical principles of laser light materials interactions are introduced with a large number of industrial application examples. Materials processing lasers are developing further and further, the lecture presents the physical limitations of the processes. Optical detectors (EN) Students analyse the fundamental characteristics of optical detectors, their architectures, selected applications and case studies. Photoemissive devices, photodiodes, infrared and single-photon detectors are studied. CCD, CMOS and SPAD cameras are analysed in detail, including advanced systems. Nanotechnology (EN) This course gives the basics for understanding nanotechnology from an engineer’s perspective: physical background, materials aspects and scaling laws, fabrication and imaging of nanoscale devices. Advanced MEMS & microsystems (EN) In depth analysis of the operation principles and technology of advanced micro- and nanosystems. Familiarisation to their implementation into products and their applications. Haptic human robot interfaces (EN) This course teaches basic knowledge on haptic devices, force feedback and mechanical man-machine interfaces. Lectures are about 40 %, the rest is hands-on practical work with the “haptic paddle”, a complete mechanical device with full laptop control interface. Realization of project in groups of 2. Iontronics (EN) Iontronics is an emerging field that focuses on the use and control of ions as signal carriers to perform specific tasks. The course covers the fundamentals of iontronics and introduces its applications in many fields. Seminars in Electrical and Micro Engineering (EN) This course introduces broad research directions in electrical and micro engineering through a series of weekly, wide-audience seminars delivered by distinguished speakers. The students practice transferable skills, including active listening, critical thinking, and scientific communication. Fundamentals of biomicroscopy (EN) Introduction to the basic operational principles of the most commonly used optical microscopes such as widefield and fluorescence.
Introduction to essential microscopy components such as lenses, objectives, filters, cameras and light sources. Experimental biomicroscopy (EN) By combining hands-on and theoretical training, this course introduces commonly used optical microscopy techniques. The lab training takes place in BIOP Core Facility and provides access to use microscopes and image biological samples. Theoretical part covers their basic operation principles. Fundamentals & processes for photovoltaic devices (EN) The objective of this lecture is to give an in-depth understanding of the physics and manufacturing processes of photovoltaic solar cells and related devices (photodetectors, photoconductors). The principle and techniques addressed in this lecture will be useful in a wide range of related fields. Seminar in physiology and instrumentation (FR) To get familiar with the state-of-the-art in medical and bio-instrumentation. To acquire basic understanding of related physiology associated to these instruments. Micro-magnetic field sensors and actuators (EN) The course provides the basis to understand the physics, the key performance, and the research and industrial applications of magnetic sensors and actuators. Together with a detailed introduction to magnetism, several magnetic sensors
and actuators are studied. Optical MEMS and micro-optics (EN) Micro-optics and Optical MEMS let us shape light with unmatched precision and speed. From fiber networks to LIDAR, they drive innovation in compact systems. MICRO 605 takes you from core principles to breakthrough applications in this fast-evolving field. Scaling in MEMS (EN) This doctoral class covers the scaling of MEMS devices, including mechanical, thermal, electrostatic, electromagnetic, and microfluidic aspects. Optical Computing (EN) In this course we will start with a brief history of optical computing, describe methods for implementing optical interconnection and logic and then spend most of our time on learning about the recent efforts in optical computing machines for machine learning. Electrochemical nano-bio-sensing and bio/CMOS interfaces (EN) Main aim of the course is to introduce, in designing of modern wearable and implantable devices, the new concept of co-design three system’ layers: Bio for Specificity, Nano for Sensitivity, and CMOS for autonomy. Recent examples of devices realised for m-Health are presented and deeply discussed. Energy Autonomous Wireless Smart Systems (EN) The course provides in depth knowledge on how to design an energy autonomous microsystem embedding sensors with wireless transmission of information. It covers the energy generation, power management, and data processing and transmission with an emphasis on low-power and energy efficient operation. Soft Microsystems Processing and Devices (EN) Amongst others, following topics will be covered during the course:
– Soft Microsystems and Electronics
– Electroactive polymers
– Printed electronics and microsystems
– Inkjet printing of polymers
– Stretchable electronics
– Mechanical reliability
– Stencil lithography
– Scanning Probe Lithography MOOC: Micro and Nanofabrication (MEMS) (EN) Micro- and nanofabrication can be taught to students and professionals by textbooks and ex-cathedra lectures, but the real learning comes from seeing the manufacturing steps as they happen. This MOOC will not only explain the basics of microfabrication but also show the practice through videos. Modelling micro-/nano- field effect electron devices (EN) The course provides an in depth modeling of emerging field effect transistors in CMOS technologty. Starting from the basis, the course will gardually introduce essential aspects to end up with a rigorous description of key features, Nanowire FET & its application to biosensing will also be analyzed. Wearables and implantables for personalized and preventive healthcare (EN) This multidisciplinary course presents, from both engineering and medical perspectives, the state-of-the-art, applications and impact of wearable and implantable technologies, with focus on cardiovascular healthcare shift from intervention-based to personalized and preventive medical strategies. Selected topics in advanced manufacturing (EN) The course aims to provide a comprehensive overview of ongoing advanced manufacturing research topics and an opportunity for students to investigate current research trends. Advanced micro-/nano- manufacturing (EN) This course contains lectures covering the latest research and development done in the field of micro-/nano- manufacturing methods and processes.
It consists on an intensive 5 days training and is done in the framework of a collaboration between FEMTO-ST in France and EPFL. Single-photon detectors (EN) Students analyse the fundamental characteristics of single-photon detectors, their specific strengths and architectures, selected applications and case studies. Topics will include solid-state detectors, such as SPADs, photoemissive devices, and superconducting detectors, such as SNSPDs. Sustainable lab practices for engineering (EN) This course equips researchers to assess and reduce the environmental impact of laboratory research. Through lectures, workshops, and project work, participants learn to measure their lab’s carbon footprint, apply sustainability frameworks,
and lead metric-driven sustainability initiatives. Microfluidics for lab-on-a-chip (EN) The course covers the entire field of lab-on-a-chip technology, including microfluidic principles and various microfabrication approaches, and presenting concrete examples of devices for (bio)analysis, cell biology, tissue regeneration and microreactors. 3D Printing with light (EN) Optical aspects of 3D printing technology. This includes optical systems for scanning and excitation, photopolymers, glass and other photoactive materials, and optical components fabricated with 3D printing technology. Advanced topics in micro- and nanomanufacturing: top-down meets bottom-up (EN) This course introduces advanced fabrication methods enabling the manufacturing of novel micro- and nanosystems (NEMS/MEMS). Both top-down techniques (lithography, stenciling, scanning probes, additive techniques) and bottom-up approaches (self-assembly) are presented. Advanced Photonics (EN) The course offers an overview on selected advanced photonics topics. It targets students with a broad photonics background or equivalent, who are willing to broaden their knowledge in the discipline. The course is given by lecturers from both EPFL and FEMTO-ST. Beyond CMOS devices and advanced computing architectures (EN) This course provides the trends in nanoelectronics for scaling, better performances and lower energy per function. It
covers fundamental phenomena of nanoscale devices, beyond CMOS steep slope switches, emerging architectures,
cryo electronics, non-volatile memories and energy efficient smart sensin Introduction to materials science (FR) Ce cours met en relation les différents niveaux de structuration de la matière avec les propriétés mécaniques, thermiques, électriques, magnétiques et optiques des matériaux.
Des travaux pratiques en laboratoire et un projet de groupe permettent d’appréhender le métier d’ingénieur en matériaux. Materials:from chemistry to properties (FR) This course enables to acquire the essential notions relative to the structure of matter, equilibrium and chemical reactions in relation to mechanical, thermal, electric, and magnetic properties of materials. Materials:from chemistry to properties (FR) This class will teach the fundamental concepts regarding materials and their micro-structure, as well as the equilibrium and dynamics of chemical reactions. A link will be made between these concepts and the mechanical, thermal, electrical, magnetic and optical properties of materials. Materials (FR) Introduction course of material science applied to usual building materials, especially concrete and metals. Description of their fabrication, mechanical and thermal properties and use in construction. Continuum mechanics (FR) In this course, the tools to describe the materials not at the atom level but as a continuum are presented. The stress and deformation tensors, the conservation laws (mass, energy, momentum), the linear elasticity and the Newtonian flow are treated using examples of practical applications. Thermodynamics for materials science (EN) This course establishes the basic concepts of thermodynamics and defines the main state functions. The concepts are then applied to the study of phase diagrams of various systems. Materials mechanics (FR) Mechanics of deformable solids is introduced to determine stresses and strains into various isotropic materials loaded in tension, compression, shear, torsion and bending. Failure criteria and limits of elasticity are discussed. Structures from engineering and biology are provided. Rheology and fluid mechanics (FR) This course is an introduction to the rheology of linear viscoelastic solids, and to fluid flow and methods used in rheology of fluids. Various types of fluids and phenomena are considered with various exemples, Newtonian or non-newtonian liquids, turbulence, reactive systems and suspensions. Functional properties of materials (FR) The main objective of this course is to present the concepts allowing the understanding of the fundamental principles that enable to predict the properties of the materials. The goal is that with these concepts, one will be able to realize material design and/or to understand novel materials. Organic chemistry (EN) This course provides a basic foundation in organic
chemistry and polymer chemistry, including chemical nomenclature of organic compounds and polymers, an understanding of chemical structures, chemical reaction mechanisms, as well as methods of organic and polymer synthesis. Probability and statistics for materials science (EN) The course establishes the concepts of statistical analysis, probability theory, and data analysis. This includes standard statistical tests, correlation analysis and experimental design. It introduces computational statistical methods to analyse large data sets. Materials engineering I (EN) An introduction to the processing-microstructure-property relationships of polymers and metals. The objectives of the course are to understand a) basic behaviors of polymers and metals and b) how to select materials for components relevant in microtechnology Materials engineering II (FR) After Materials engineering I on polymers and metals, the links between processing-structures-properties of ceramics for microtechnology are presented. Hands-on works will allow to process and characterize properties of the 3 types of materials. Mechanical behaviour of materials (FR) This course provides an introduction to the mechanical behaviour, the processing, the structure and life-cycle of major classes of structural materials (metals, polymers, ceramics and composites). Metals and alloys (FR) Introduction to metals and alloys used in engineering, and to the relationships between their processing, their microstructure and their mechanical behaviour, taught with focus on the three main engineering metal alloy systems, namely alloys of aluminium, copper, and iron. Practice in materials (FR) TPs matériaux BA4 aim at illustrating the notions seen in the classes Introduction à la Science des Matériaux and Métaux et Alliages. The link between microstructure, process and properties is emphasized, together with the analysis of measurements and the writing of a report. Structure of materials (EN) Introduction to materials structure including crystallography, the structure of amorphous materials such as glasses, polymers and biomaterials as well as the basics of characterization techniques. Phase transformations (FR) This course is an introduction to the thermodynamics and crystallography liquid-solid and solid-solid phase transformations. It is essentially focused on metallic materials, but will occasionally make extensions to ceramics and rocks. Surfaces and interfaces (EN) This lecture introduces the fundamental concepts for describing, characterizing, and engineering surfaces and interfaces. Students will develop both theoretical and practical understanding of how interfacial phenomena influence surface properties and technological applications. Introduction to atomic-scale modeling (EN) This course provides an introduction to the modeling of matter at the atomic scale, using interactive Jupyter notebooks to see several of the core concepts of materials science in action. Crystalline materials: structures and properties (EN) The properties of crystals and polycrystalline (ceramic) materials including electrical, thermal and electromechanical phenomena are studied in connection with structures, point defects and phase relations. The students learn how to analyse/predict properties based on structure, symmetry and defects Deformation of materials (FR) Introduction to deformation mechanisms in inorganic materials: elasticity, plasticity and creep. Corrosion and protection of metals + Laboratory Work (FR) This introductory corrosion course aims at familiarizing the student with the mechanisms of corrosion, with various forms of corrosion and with the principles of protection against corrosion. Building materials + Laboratory work (FR) Materials science of common non metallic building materials, with emphasis on cementitious materials (concrete). Chemical composition, fabrication and behaviour in service Ceramic and colloidal processing (EN) The course covers the production of ceramics and colloids from the basic scientific concepts and theories needed to understand the forming processes to the mechanisms and methods of sintering (firing) ceramics. Including the scientific principles behind the formation of colloidal dispersions. Polymer composites + Laboratory Work (FR) Mechanical and physical properties of anisotropic materials and calculation tools are presented. Constituents, processing techniques and structure-processing-properties relationships are given for different types of organic matrix composites. Applications in transport,sport and energy are discussed. Sustainability and materials (EN) This course addresses sustainability across the materials life cycle, from extraction to end of life. Students learn the concepts, metrics, and tools to evaluate the environmental and societal impacts of materials, then apply them to real-world cases. Surface analysis (EN) The course treats the main surface analysis methods for the characterization of surfaces, interfaces and thin films. It discusses how these methods can be applied to gain specific knowledge about structural, chemical and functional properties of surfaces and thin films. Limitation to 18 students! Introduction to microscopy + Laboratory work (FR) This course of introduction to microscopy aims at giving an overview of the various techniques of microstructure and composition analysis of materials. It focuses in particular on electron and optical microscopy. This course is composed of lectures and practical demonstrations on microscopes. Polymer science + TP (EN) Introduction to polymer physics and the link between chemical structure and macroscopic properties, with emphasis on morphology and thermomechanical behaviour, polymer technology and manufacturing techniques, providing a basis for the rational selection of polymers in an industrial context. Polymer science (EN) Introduction to polymer physics and the link between chemical structure and macroscopic properties, with emphasis on morphology and thermomechanical behaviour, polymer technology and manufacturing techniques, providing a basis for the rational selection of polymers in an industrial context. Finite element theory and practice (FR) The aim of this class is to understand the finite element method i.e. the weak and strong variational formulations and the resolution schemes in space and time. The second part of the semester is dedicated to the practice using the commercial program Abaqus. Materials project (FR) The student applies the acquired skills to an academic or industrial projects. Cementitious materials (advanced) (EN) This course provides students with the scientific and engineering foundations to develop next-generation low-carbon cementitious materials. It links composition, processing, microstructure, performance, durability, and environmental impact to advance sustainable construction. Statistical mechanics (EN) This course presents an introduction to statistical mechanics geared towards materials scientists. The concepts of macroscopic thermodynamics will be related to a microscopic picture and a statistical interpretation. Lectures and exercises will be complemented with hands-on simulation projects. Advanced metallurgy (EN) This course covers the metallurgy, processing and properties of modern high-performance metals and alloys (e.g. advanced steels, Ni-base, Ti-base, High Entropy Alloys etc.). In addition, the principles of computational alloy design as well as approaches for a sustainable metallurgy will be addressed Fundamentals of solid-state materials (EN) Fundamentals of quantum mechanics as applied to atoms, molecules, and solids. Electronic, optical, and magnetic properties of solids. Fracture of materials (EN) This course covers elementary fracture mechanics and its application to the fracture of engineering materials. Soft matter (EN) The first part of the course is devoted to the self-assembly of molecules. In the second part we discuss basic physical chemical principles of polymers in solutions, at interfaces, and in bulk. Finally, we look at colloids and emulsions. Physical chemistry of polymeric materials (EN) The student has a basic understanding of the physical and physicochemical principles which result from the chainlike structure of synthetic macromolecules. The student can predict major characteristics of a polymer from its chemical structure and molecular architecture. Introduction to magnetic materials in modern technologies (EN) Interactive course addressing bulk and thin-film magnetic materials that provide application-specific functionalities in different modern technologies such as e.g. wind energy harvesting, electric article surveillance, spintronics, sensing, and data storage. Towards sustainable materials (EN) This course will address and model key sustainability issues through an engineering lens. It will examine emerging materials, hard to abate, and critical materials used to manufacture items in our economy during the transition to NetZero targets and their environmental, societal, and human impacts. Material science at large scale facilities (EN) This course provides a broad introduction into materials research using synchrotron X-rays, neutrons and myons. After an introduction into large scale facilities, we will dive into the different methods, including application examples from various fields of materials science. Polymer chemistry and macromolecular engineering (EN) Know modern methods of polymer synthesis. Understand how parameters, which determine polymer structure and properties, such as molecular weight, molecular weight distribution, topology, microstructure can be controlled by proper choice of polymerization method and optimization of reaction condition Composites technology (EN) The latest developments in processing and the novel generations of organic composites are discussed.
Nanocomposites, adaptive composites and biocomposites are presented. Product development, cost analysis and study
of new markets are practiced in team work. Electrochemistry for materials technology (EN) This course aims at familiarizing the student with state of the art applications of electrochemistry in materials science and technology as well as material requirements for electrochemical engineering. Electron microscopy: advanced methods (EN) With this course, the student will learn about advanced methods in transmission electron microscopy, especially what is the electron optical setup involved in the acquisition, and how to interpret the data. After the course, students will be able to understand and assess TEM encountered in papers. Thin film fabrication technologies (EN) The students will learn about the essential chemical, thermodynamic and physical mechanisms governing thin film growth, about the most important process techniques and their typical features, including process-microstructure-film properties relationships. Wood structures, properties and uses (EN) The presentation of tree growth and formation of wood anatomical structures, linked to the description of specific physical and mechanical properties, makes it possible to understand the different forms of utilisation of this material, including aspects of sustainable development. IMX Colloquium (autumn) (EN) A series of seminars on selected current and emerging topics in Materials will be presented by experts.
Biomaterials (pour MX) (EN) This course introduces the principles governing biomaterials and their interactions with biological systems. Topics include material properties, biointerfaces, mechanobiology, drug delivery, tissue engineering, and immune engineering, with emphasis on design, performance, and clinical translation. Materials selection (EN) Propose suitable materials, design, and production routes depending on different performance criteria using a computer based software approach. The course is based on Prof. Mike Ashby’s well known “Ashby plots” comparing different material properties (mechanical, thermal, chemical, etc.). Optical properties of materials (EN) Students will study fundamental principles of light-matter interaction and apply classical and quantum mechanical models for quantitative estimates. Optical phenomena in glasses, organic/inorganic semiconductors, liquid crystals, quantum structures as well as device applications will be treated. Advanced phase transformations (EN) This course provides an overview of the phenomenological concepts and mathematical tools that have been developed to study the thermodynamics, kinetics and mechanics of phase transformations. Tribology (EN) This introductory course in tribology (science of friction, lubrication and wear) has specific goals : to present the basic principles of tribology, to develop the attitude to analyse tribological and to illustrate correlations between materials and tribological properties.
Organic electronic materials (EN) This course will introduce students to the field of organic electronic materials. The goal of this course is to discuss the origin of electronic properties in organic materials, charge transport mechanisms, chemical synthesis, materials processing, and device fabrication. Mathematical methods for materials science (EN) The aim of the course is to review mathematical concepts learned during the bachelor cycle and apply them to concrete problems commonly found in Engineering, and Materials Science in particular. Engineered living materials (EN) This course provides an introduction to the topic of engineered living materials (ELMs), a class of materials that incorporates living cells, thus enabling distinct functionalities such as the ability to grow, heal, adapt, sense, and respond. Quantum materials: fundamentals and applications (EN) Introduces the exceptional electromagnetic and optical properties of low-dimensional, Dirac and superconducting materials – the quantum-mechanical models that explain them, and experimental techniques to probe them. Surveys new applications in information processing, sensing, energy technologies.. Advanced ceramic technologies (EN) Advanced ceramic processing concepts and technologies will be presented. Students will learn concepts on advanced technologically-relevant ceramic materials for a wide range of applications from MedTech, energy conversion & storage, with insights on sustainability & material lifecycle. Charge transport in energy conversion and storage (EN) Fundamental concepts of charge transport in solar cells, batteries, and electrolysers, emphasizing analogies between semiconductor physics and electrochemistry. Introduction to food science and technology (EN) We consider food as a material at molecular & micro-structure levels, in relation to nutritional and organoleptic properties. We will learn about food process engineering principles applied to create taste and texture. We explore aspects of environmental sustainability, economy and public health. Effects of radiation on materials (EN) The purpose of this course is to provide the necessary background to understand the effects of irradiation on pure metals and on alloys used in the nuclear industry. The relation between the radiation-induced defects and the evolution of the mechanical properties is highlighted. Nanofabrication with focused electron and ion beams (EN) Nanofabrication with focused charged particle beams (SEM, FIB) and their applications such as lithography, gas assisted deposition / etching, and milling are discussed and the limitations of these processes are developed based on the acquired understanding of the interactions. X-Ray Analysis for thin films (EN) Intro into the relation between physical and structural properties; introduction into different X-Ray techniques; examples of successful technological transfer using X-Ray techniques;
Structural properties; coherent and non coherent scattering; high resolution X-Ray techniques;
stress; coatings. CCMX Advanced Course – Advanced X-ray Diffraction Methods for Coatings: strain, defects and deformation analysis of thin films (EN) After introducing thin film and HR-XRD characterisation methods, theory and limitations are discussed, including examples and how the film structure influences its characteristics. Protocols are presented for establishing reproducible and reliable measurements, and for interpreting their results. Scanning electron microscopy techniques (a) (EN) This intensive course is intended for researchers who envisage to use scanning electron microscopy techniques for their
research or who want to understand how to interpret SEM images and analytical results presented in scientific
publications. Scanning electron microscopy techniques (b) (EN) This intensive course is intended for researchers who envisage to use scanning electron microscopy techniques for their
research or who want to understand how to interpret SEM images and analytical results presented in scientific
publications. Transmission electron microscopy and diffraction (a) (EN) This intensive course is intended for researchers who envisage using transmission electron microscopy to study materials samples or to help them interpret TEM data in publications. It presents basics of TEM instrumentation, imaging, electron diffraction, specimen preparation and high-resolution TEM. Transmission electron microscopy and diffraction (b) (EN) This intensive course is intended for researchers who envisage using transmission electron microscopy to study materials samples or to help them interpret TEM data in publications. It presents basics of TEM instrumentation, imaging, electron diffraction, specimen preparation and high-resolution TEM. Statistical methods in atomistic computer simulations (EN) The course gives an overview of atomistic simulation methods, combining theoretical lectures and hands-on sessions. It
covers the basics (molecular dynamics and monte carlo sampling) and also more advanced topics (accelerated sampling
of rare events, and non-linear dimensionality reduction) Optical Materials: Fundamental concepts and recent developments (EN) In this class we will review the fundamental origin of the optical properties exhibited by different classes of materials. We will then give examples of the most up-to-date research on optical materials in a few growing scientific and technological fields. Crystal growth by epitaxy (EN) This is an interactive course explaining the main physical and chemical concepts to understand epitaxy of crystalline thin films and what determines the morphology, composition and structure of a material grown per epitaxy both in the bulk and as nanostructure. CCMX Advanced Course – Instrumented Nanoindentation (EN) This course is intended for current nanoindentation users who want to gain the experience and knowledge required to extract useful data from challenging sample materials. It is also intended for users of conventional indentation methods who wish to add this approach to their portofolio of methods. Electrochemistry in Corrosion Research (EN) This course introduces the basic principles of electrochemistry, focusing on corrosion research. It covers the basics of corrosion testing and monitoring techniques, such as linear polarization, cyclic voltammetry and electrochemical impedance spectroscopy (EIS). Limestone-Calcined Clay – Cement : Characterisation methods (EN) Le but est de former doctorants et post doctorants aux méthodes de charactérisation des ciments composés comme la microstructure, la diffraction des rayons X, la calorimétrie, la formulation et la durabilité dans le cadre des actions internationales du project LC3 financé par la DDC. Limestone-Calcined Clay – Cement : Characterisation methods (SPRING) (EN) Le but est de former doctorants et post doctorants aux méthodes de charactérisation des ciments composés comme la
microstructure, la diffraction des rayons X, la calorimétrie, la formulation et la durabilité dans le cadre des actions
internationales du project LC3 financé par la DDC. Powder Diffraction School – Modern Syncrotron Methods (EN) Modern synchrotron-radiation methods not only provide data of exceptional quality, but have allowed previously inaccessible experiments to be performed. The school will give a broad overview of all possibilities using synchrotron radiation, including hands-on practicals. Additive Manufacturing of Metals and Alloys (EN) This course is designed to cover a number of materials science aspects related to the field of additive manufacturing of metals and alloys, and to provide an in-depth review of corresponding fundamentals. CCMX Tribology and Surfaces Interactions (EN) This course is intended to give to the participants (graduates, researchers and industrial professionals) a solid background in tribology and surface interactions. It covers the fundamentals concepts of tribology including surfaces, contact mechanics, friction, lubrication and wear. Non-destructive methods for industry and research (EN) Basic knowledge ofthe classical non-destructive testing methods as they are used today in industrial applications and the advanced
(mosily imaginé) technologies used for the analysis of materials and components in special applications. lt covers several material groups and various applications. Thin film and small scale mechanics (EN) The course focuses on mechanics of solid thin films and small scale structures and on state-of-the-art experimental techniques employed for evaluation and extraction of thin films and small scale structures mechanical properties. Lectures are example intensive, with in depth theoretical analysis. LNM Workshop 2023 (EN) Seminar for PhD/master-students and postdocs on experimental nuclear materials research and simulation for present and future nuclear systems, with some emphasis on advanced manufacturing and analytics. In a group project the students will work on and present scientific and framing aspects. Multidisciplinary NPs characterization (EN) Four experienced scientists will guide students into the world of NPs characterization with different approaches, from laboratory characterization to X-ray/neutron scattering and electron microscopy. The main knowledge acquired will concern the overview of possible complementary technique. Advanced Microscopy for Materials (EN) This course provides an overview of advanced materials characterization techniques, focusing on modern Scanning Electron Microscopy (SEM) combined with Focused Ion Beam (FIB) systems (dual-beam), as well as Transmission Electron Microscopy (TEM) and Atom Probe Tomography (APT). 3D Electron Microscopy and FIB-Nanotomography (EN) The principles of 3D surface (SEM) reconstruction and its limitations will be explained. 3D volume reconstruction and tomography methods by electron microscopy (SEM/FIB and TEM) will be explained and compared with x-ray tomography. Characterization of Materials 2025 (EN) This course introduces materials characterization techniques used by scientists and engineers. Lectures cover basic theory, applications, and limitations, while lab sessions offer hands-on experience, providing a well-rounded understanding of each method.
Scanning and Analytical Transmission Electron Microscopy (EN) This intensive course discusses advanced TEM techniques such as: scanning TEM; analytical TEM using EELS and EDX; aberration corrected imaging; and image simulation. It is intended for researchers who have taken the introductory TEM course MSE-637 or who have a good background in conventional TEM. Brain-like computation and intelligence (EN) Recent advances in machine learning have contributed to the emergence of powerful models of intelligence. In this course we will compare the behavior and underlying mechanisms between these models and biological brains. Neural signals and signal processing (EN) Understanding, processing, and analysis of signals and images obtained from the central and peripheral nervous system Neural interfaces (EN) Neural interfaces (NI) are bioelectronic systems that interface the nervous system to digital technologies. This course presents their main building blocks (transducers, instrumentation & communication), reviews current and upcoming materials and technological solutions for implantable & wearable NI Translational neuroengineering (EN) This course integrates knowledge in basic, systems, clinical and computational neuroscience, and engineering with the goal of translating this integrated knowledge into the development of novel methods, technology for the clinical application for patients suffering from neuropsychiatric disorders. Systems neuroscience (EN) The course “Systems Neuroscience” explores neural circuits and networks to understand how groups of neurons process information and generate behavior. It integrates techniques from neurophysiology, anatomy, genetics, and computer science to investigate complex brain cell interactions. Advanced methods for human neuromodulation (EN) Neuromodulation is an expending field especially in human translational neuroscience and neurotechnology. This course will introduce to different approaches / technologies for neuromodulation, their underlying mechanisms of action and application in humans in healthy and pathological conditions. Regulatory, quality and clinical affairs (EN) This regulatory, quality, and clinical module provides the essential tools and competencies to understand and apply the European and US regulatory frameworks for developing, validating, and marketing a medical device, outlining key compliance activities. Computational neurosciences: neuronal dynamics (EN) In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by deterministic or stochastic differential equations.
La maîtrise du sol en droit suisse (FR) This course is an introduction to Swiss law. The goal of this course is to make aware the students of the 3 ENAC sections of the importance of this subject for their future profession and allow them to share their knowledges to “Design & Build together”. Making structural logic (EN) The ENAC week provides students the possibility to engage into an iterative process of testing and exploring structural and material limits and possibilities through the collaborative design and construction of structural elements in folded steel. The ENAC week will take place at EPFL Fribourg. Terra Epidermis (FR) This transversal project aims to test around a case study chosen, the specifics of ” reverse soil .” On a chose site, students will be invited to propose a single technical and architectural gesture, and synthesize their concept graphically. Constructive second hand (FR) Building second-hand means seizing the opportunity offered by the circular economy to improve design by reusing components from deconstruction, at minimum environmental cost. This week will introduce students to these concepts through hands-on experience. Chantier urbain : perception, gouvernance, usages (FR) This week ENAC aims to apprehend urban construction sites as key moments in the territorial fabric, in the articulation between urban planning and the effective implementation of a vision for the territory. Hidden rivers (EN) Hidden Rivers aims at fulfilling the need for an interdisciplinary understanding of the problematics surrounding urban streams, through ecological, hydrological, and spatial relationships found in riverscapes. The land of a thousand dances (EN) Let’s consider the act of maintenance as a potential for project making : let’s observe uses and traces that result from it in order to develop and carry out interventions that will allow us to reinforce, adapt, remove or increase the dynamics identified. This sixth round is taking place on campus. Rhonescape (EN) RHONEscape aims at realizing the necessary interdisciplinary educational background of the problematics affecting highly-corrected large rivers, by examining riverine ecological, hydrological and morphological spatial features with new methods of conceiving the space in and around rivers. Night in Lausanne (FR) This course will take an interdisciplinary approach to night in Lausanne. Through a nocturnal journey, we will take stock of the city as it exists at night time. During the week, we’ll collectively reflect on the future of nights in Lausanne, and present our initial ideas.
Floating offshore renewables (EN) The objective is to allow the students to work within a small group to develop a concept for offshore infrastructure for multifunctinal purposes. Adventure on Planet B (EN) This course will take students on a cosmic journey and then back to Earth to reflect on planetary challenges and their solutions. Stone masonry: Past, present, and future (EN) This course introduces students to the historical, structural, and environmental aspects of stone masonry. Emphasis is on understanding the role of stone masonry in architecture, basic structural behavior, and approaches to predict and assess the performance of stone masonry buildings.
Urban dialogues: sustainability and mediation (FR) This course, in partnership with HEP Vaud, deals with sustainable cities and the potential of cultural and scientific mediation. Environmental and social issues are addressed in relation to the Chamberonne River, with the aim of designing and running a mediation workshop for school classes. The city-tree (FR) This ENAC week is an invitation to question how cities are reinventing their relationship with living and natural entities, focusing in particular on the question of trees.
Forma urbis (FR) Some ancient cities are ruins, while others evolve, integrating their history into the urban fabric. These transformations create architectural palimpsests, making the city a living monument where past and present coexist and revealing captivating stories around every corner. Saxa Loquuntur: Culture of construction (EN) The course explores how material extraction, territorial change, trade, local traditions, and industrial production interconnect. By examining scales from territory to building detail, students learn how various professions interact to shape the built environment. Light as project driver (FR) This interdisciplinary course explores the structuring role of light in architectural design, in relation to the environment, materiality, comfort and energy performance. Students develop an exhibition pavilion project based on lighting intentions, using simulation tools, environmental analysis (LCA Living in Mars (FR) This course proposes to students of the 3 ENAC sections (AR,GC,SIE) to design in groups a space habitat on planet Mars. In an interdisciplinary way, they will approach problematics which they will have to analyze, interpret, integrate and represent. Urban planning in the South (FR) This course is an introduction to the technical and conceptual tools essential to urban planning and evidence-based decision-making. These tools are introduced in the context of cities in the Global South, in order to understand the spatial and social dynamics behind urbanisation. TRC LC3 Research Platform Fribourg (EN) The UE TRC-LC3 Research Platform Fribourg will develop prototypes of structural elements in textile reinforced concrete (TRC) and Limestone Calcined Clay Cement (LC3) concrete that allow the continuation of the TRC prototype pavilion started at EPFL in 2019. The UE will take place in EPFL Fribourg. Urban neighborhoods, infrastructures and sustainable development (FR) This ENAC Teaching Unit aims to present and implement new concepts of sustainable urban neighbourhood planning. SKIL Student Kreativity and Innovation Laboratory (EN) This course will allow students to engage in hands-on projects that can be defined by themselves, in a dedicated workshop environment. Students work together in small groups, with access to a wide range of tools, materials, software, etc. – assisted by highly specialized labmanagers. DRAG(UE): Performativity and the built environment (FR) The built environment will be explored through its performativity, thanks to perspectives offered by gender studies as well as queer and feminist theories. Discussions will enable a critical analysis of our environments in terms of their social frameworks and norms. Border Forensics (EN) The course will introduce students to different forms of violence related to the existence of state borders and social boundaries in Switzerland. Grounded into the work of the agency Border Forensics, it will focus on investigative methods to document and contest this violence. Navigating exhausted landscapes (EN) This course focuses on the challenges of transforming urban industrial sites in light of the living dynamics that run through them. It aims to experiment with an interdisciplinary approach their regeneration through the prism of a field investigation and a construction of a vision. Urban voids: mind the gap! (EN) This course focuses on transforming urban voids, like vacant lots or abandoned buildings, into valuable spaces addressing challenges such as climate change and social cohesion. It equips engineers and architects with interdisciplinary skills to creatively repurpose these areas for multiple benefits. International Geneva: An urban system in crisis (FR) This course explores the challenges facing Geneva’s international ecosystem in the context of declining multilateralism and reduced U.S. support. Using the concept of the urban system, students analyze how political shifts impact institutions, real estate, and territorial structures. Cognitive Landscapes (EN) This course explores how brainwave dynamics can inform urban design through cross-frequency coupling as a model for adaptability, variability, and integration in urban systems. Advanced physics I (mechanics) (FR) Introductory Physics I (advanced) covers the mechanics of point particles and solids. The purpose of the course is to develop the ability to describe physics phenomena by using mathematical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (IN) (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanics of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (English) (EN) Students will learn the principles of mechanics to enable a better understanding of physical phenomena, such as the kinematics and dyamics of point masses and solid bodies. Students will acquire the capacity to quantitatively analyze these effects with the appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanics of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (flipped classroom) (FR) The course establishes the basic notions that will allow the student to have a better understanding of the physical phenomena in mechanics. The students acquires the capability to quantitatively analyse the consequences of these effects with appropriate theoretical tools. General physics : mechanics (english flipped classroom) (EN) The principles of classical mechanics successfully describe many phenomena encountered in the world. In this course students will develop a conceptual understanding of the core concepts and an ability to apply the theoretical framework to describe and predict the motions of solid bodies. Advanced physics II (thermodynamics) (FR) This course presents thermodynamics as a means of describing a large number of important phenomena in physics, chemistry, and engineering, including transport effects. An introduction to statistical physics reinforces the notions acquired thanks to microscopic modeling. General physics : thermodynamics (FR) Give the students the basic notions that will allow their to have a better understanding of physical phenomena. Acquire the capability to analyse quantitatively the consequences of these effects with appropriate theoretical tools.
General physics : thermodynamics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : thermodynamics (FR) The goal of General Physics is to give the student the basic notions to have a better understanding of physical phenomena. This objective is attained when the student can quantitatively analyse the consequences of these effects with the appropriate theoretical tools. General physics : thermodynamics (English) (EN) Students acquire the abilities to analyze physical systems through the lens of thermodynamics and statistical physics. General physics : thermodynamics (FR) Provide the student with the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyze quantitatively the consequences of these effects with appropriate theoretical tools. General physics : fluids and electromagnetism (FR) The course covers two important chapters of physics: physics of fluids and electromagnetism. An introduction to the physics of waves is also given in order to study the solutions of the equations of hydrodynamics and Maxwell’s equations.
General physics : thermodynamics (for chemistry) (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : electromagnetism (FR) The course covers the concepts of electromagnetism, with the support of experiments. The covered topics include electrostatics, electric current and circuits, magnetostatics, electromagnetic induction, Maxwell’s equations, and electromagnetic waves. Physics lab (metrology) (FR) This course is a practical introduction to classical measurement techniques in a physics laboratory. It aims at familiarising the students with data acquisition, sensors, signal processing, vacuum and cryogenics. Building physics (FR) This course covers the main physical phenomenon occurring within buildings and will allow the student to acquire basic knowledge in the field of building science. Physics III (EN) The students understand and apply the physics of fluids, and the basics of electromagnetism and electronic schemes General physics : electromagnetism (FR) The topics covered by the course are concepts of electromagnetism and electromagnetic waves. General physics: electromagnetism (EN) The course covers the phenomena, concepts and principles of electricity and magnetism illustrating some of their applications. The unity of the electric, magnetic and optical phenomena and the variety of their applications are emphasized. General physics : electromagnetism (FR) Introduction to fluids mechanics, to electromagnetism, and to wave phenomena. General physics : electromagnetism (FR) This course introduces electrostatics and magnetostatics, then electromagnetic coupling in a time-varying regime and the resulting wave perturbation phenomena. Certain analogies are used to connect to prior knowledge from general physics and to introduce a few fundamental laws of fluid dynamic. General physics: electromagnetism (EN) Introduction to electromagnetism. Analytical mechanics (for SPH) (FR) This course offers an introduction to analytical mechanics. It introduces the Lagrangian and Hamiltonian formalisms, emphasizing their ability to simplify the description of constrained systems, symmetries, and conservation laws. Numerous examples of applications are presented.
Physics lab IIa (FR) This practical course provides a contact with basic physical phenomena and their applications, it should help students acquire knowledge about the methods of observation and measurement as well as data analysis and presentation. Physics IV (FR) Wave physics and introduction to special relativity. Quantum mechanics I (EN) The objective of this course is to familiarize the student with the concepts, methods and consequences of quantum physics. General physics : quanta (FR) The course treats electromagnetic waves, including both geometrical optics and physical optics, and
gives an introduction to quantum physics. Physique numérique (pour SPH) (FR) Formulate and solve physics problems using elementary numerical methods. Understand the advantages and limitations of these methods (stability, convergence). Illustrate various physics subjects seen in other courses. Physics lab IIb (FR) This practical course provides a contact with basic physical phenomena and their applications, it should help students acquire knowledge about the methods of observation and measurement as well as data analysis and presentation. Mathematical methods (for SPH) (FR) This course complements the analysis and linear algebra courses by providing further mathematical methods and techniques required for 3rd year physics courses, in particular electrodynamics and quantum mechanics. Data sciences (EN) This course introduces tools for data analysis in physics: numerical linear algebra, regression, dimensionality reduction, probability, statistics, uncertainty quantification, random walks, Monte Carlo methods and phase transitions, with Python exercises. Introduction to construction technics (FR) To get some basic notions as it concerns technical design, machining and practical electronics for physics laboratory activities. Biophysics : physics of the cell (EN) In this course we will study the cell (minimum unit of life) and its components. We will study several key cellular features : membranes, genomes, channels and receptors. We will apply the laws of physics to develop models to make quantitative and predictive statements. Physics of materials (EN) This course discusses materials physics associated with the mechanical and structural properties of solids, primarily focusing on the physics of dislocation defect dynamics and linking diffusion kinetics to the fundamental physics of phase transformations. Particles and fundamental interactions (EN) General overview of current knowledge in elementary particle physics: from relativistic kinematics to the phenomenological interpretation of high-energy collisions. Quantum physics II (EN) The aim of this course is to familiarize the student with the concepts, methods and consequences of quantum physics. Physics lab IIIa (FR) The students observe a number of physical phenomena and their technological applications. The course aims at acquiring knowledge about the methods of observation, measurement and experimental data analysis. The students practice scientific communication. Physics lab IIIb (FR) The students observe a number of physical phenomena and their technological applications. The course aims at acquiring knowledge about the methods of observation, measurement and experimental data analysis. The students practice scientific communication. Classical electrodynamics (EN) The goal of this course is the study of the physical and conceptual consequences of Maxwell equations. Introduction to plasma physics (FR) Introduction to plasma physics aimed at giving an overall view of the unique properties specific to a plasma. The models commonly used to describe its behavior are presented and illustrated with examples. Application to thermonuclear fusion and some astrophysical phenomena. Atomic, molecular physics and optics (EN) This course presents the fundamental physics of atoms and molecules, their structure and their interaction with electromagnetic fields. Solid state physics (FR) This lecture gives an introduction to Solid State Physics. We will treat crystal structure, lattice vibrations, electronic properties, electric and heat conductance, as well as magnetic properties. The level is the one of the book by Ashcroft & Mermin. Statistical physics (FR) This course introduces the fundamental principles of statistical physics, one of the most fundamental theories of modern physics, focusing on the description of collective phenomena from microscopic laws. Advanced computational physics (EN) The course covers dense/sparse linear algebra, variational methods in quantum mechanics, and Monte Carlo techniques. Students implement algorithms for complex physical problems. Combines theory with coding exercises. Prepares for research in computational physics and related fields. Fluid mechanics and soft matter (EN) This course introduces the core principles of fluid mechanics and connects them to the physics of soft matter systems such as colloids, polymers, emulsions, and biological materials. Emphasis is placed on understanding behavior bridging the microscopic and continuum perspectives. Nuclear physics (FR) Genral introduction to the physics of atomic nuclei: from bound states to scattering. Systèmes complexes (FR) This courses show how known (entropy, phase transitions) and new (glasses, percolation, avalanche-type response) physical concepts can be used in various fields (including Computer science, neuroscience, social sciences). Quantum mechanics for non-physicists (EN) This course introduces quantum mechanics to students who are interested in pursuing quantum science and technology but have not gone through the standard bachelor physics curriculum. The students will develop quantum intuition by working out numerical examples based on qubits and oscillator systems. Introduction to astrophysics: the basics (FR) General presentation of the methods and knowledge of modern astrophysics to illustrate our perception and understanding of the universe. This course constitutes the basis for more advanced courses, but also provides general ‘astrophysics’ culture for any student. Selected topics in nuclear and particle physics (EN) This course presents the physical principles and the recent research developments on three topics of particle and nuclear physics: the physics of neutrinos, dark matter, and plasmas of quarks and gluons. An emphasis is given on experimental aspects in these three research fields. Astrophysics IV : stellar and galactic dynamics (EN) The aim of this course is to acquire the basic knowledge on specific dynamical phenomena related to the origin, equilibrium, and evolution of star
clusters, galaxies, and galaxy clusters. Astrophysics V : observational cosmology (EN) Cosmology is the study of the structure and evolution of the universe as a whole. This course describes the principal themes of cosmology, as seen
from the point of view of observations. Computer simulation of physical systems I (EN) The two main topics covered by this course are classical molecular dynamics and the Monte Carlo method. Frontiers in nanosciences (EN) The course covers relevant experimental and theoretical concepts in nanoscale science, from fundamental aspects like quantum tunneling and quantum size effects, to hot topics like quantum transport and nanoscale magnetism. Particle physics I (EN) Presentation of particle properties, their symmetries and interactions.
Introduction to quantum electrodynamics and to the Feynman rules. Particle physics II (EN) This course aims to make students familiar and comfortable with the main concepts of particle physics, providing a clear connection between the theory and relevant experimental results, including the most recent ones from modern particle physics experiments. Solid state physics III (EN) The aim of this course is to provide an introduction to the theory of a few remarkable phenomena of modern condensed matter physics ranging from the quantum Hall effects to superconductivity. Solid state physics IV (EN) Solid State Physics IV provides a materials and experimental technique oriented introduction to the electronic and magnetic
properties of strongly correlated electron systems. Established knowledge is complemented by current research trends,
aiming to prepare the students for independent research. Plasma I (EN) Following an introduction of the main plasma properties, the fundamental concepts of the fluid and kinetic theory of plasmas are introduced. Applications concerning laboratory, space, and astrophysical plasmas are discussed throughout the course. Plasma II (EN) This course completes the knowledge in plasma physics that students have acquired in the previous two courses, with a discussion of different applications, in the fields of magnetic confinement and controlled fusion, astrophysical and space plasmas, and societal and industrial applications. Quantum physics III (EN) To introduce several advanced topics in quantum physics, including
semiclassical approximation, path integral, scattering theory, and
relativistic quantum mechanics Quantum physics IV (EN) Introduction to the path integral formulation of quantum mechanics. Gauge invariance. Derivation of the perturbation expansion of Green’s functions in terms of Feynman diagrams. Several applications will be presented, including non-perturbative effects, such as tunneling and instanton Relativity and cosmology I (EN) Introduce the students to general relativity and its classical tests. Relativity and cosmology II (EN) This course is the basic introduction to modern cosmology. It introduces students to the main concepts and formalism of cosmology, the observational status of Hot Big Bang theory
and discusses major physical processes in the early Universe. Quantum field theory I (EN) The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions. Quantum field theory II (EN) The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions such as Quantum Electrodynamics. Semiconductor physics and light-matter interaction (EN) Lectures on the fundamental aspects of semiconductor physics and the main properties of the p-n junction that is at the heart of devices like LEDs & laser diodes. The last part deals with light-matter interaction phenomena in bulk semiconductors such as absorption, spontaneous & stimulated emission. Physics of photonic semiconductor devices (EN) Series of lectures covering the physics of quantum heterostructures, dielectric microcavities and photonic crystal cavities
as well as the properties of the main light emitting devices that are light-emitting diodes (LEDs) and laser diodes (LDs). Stochastic methods in classical & quantum physics (EN) Noise and fluctuations play a crucial role in science and technology. This course treats stochastic methods, applying them to both classical problems and quantum systems. It emphasizes the frameworks of fluctuation-dissipation theorems, stochastic differential equations, and Markov processes. Introduction to biomedical imaging (EN) This course introduces the fundamentals of biomedical imaging and provides an overview of the major imaging modalities used in medicine and biological research. It focuses on understanding the physical principles, the mechanisms of image formation, and their biomedical applications. Particle detection (EN) The course will cover the physics of particle detectors. It will introduce the experimental techniques used in nuclear and particle physics. The lecture includes the interaction of particles with matter, scintillators, gas detectors, silicon detectors, detectors for particle ID and photo-detectors. Statistical physics of biomacromolecules (EN) Biological macromolecules such as DNA, RNA, proteins and cytoskeletal filaments are polymers. As such, they share a set of properties that are common to any polymer, which are the focus of this course. Details about the protein folding problem will be covered in the last part. Modeling and design of experiments (EN) In the academic or industrial world, to optimize a system, it is necessary to establish strategies for the experimental approach. The DOE allows you to choose the best set of measurement points to minimize the variance of the results. The concepts learned are applicable in all areas. Physics of nuclear reactors (EN) In this course, one acquires an understanding of the basic neutronics interactions occurring in a nuclear fission reactor as well as the conditions for establishing and controlling a nuclear chain reaction. Nuclear fusion and plasma physics (EN) The goal of the course is to provide the physics and technology basis for controlled fusion research, from the main elements of plasma physics to the reactor concepts. Introduction to particle accelerators (EN) The course presents basic physics ideas underlying the workings of modern accelerators. We will examine key features and limitations of these machines as used in accelerator driven sciences like high energy physics, materials and life sciences. Radiation biology, protection and applications (EN) This is an introductory course in radiation physics that aims at providing students with a foundation in radiation protection and with information about the main applications of radioactive sources/substances in the industry. The course includes presentations, lecture notes and problem sets. Radiation and reactor experiments (EN) The reactor experiments course aims to introduce the students to radiation detection techniques and nuclear reactor experiments. The core of the course is the unique opportunity to conduct reactor experiments with the EPFL reactor CROCUS. Radiation detection (EN) The course presents the detection of ionizing radiation in the keV and MeV energy ranges. Physical processes of radiation/matter interaction are introduced. All steps of detection are covered, as well as detectors, instrumentations and measurements methods commonly used in the nuclear field. Quantum electrodynamics and quantum optics (EN) This course develops the quantum theory of electromagnetic radiation from the principles of quantum electrodynamics. It will cover historic developments (coherent states, squeezed states, quantum theory of spontaneous emission) and moreover modern developments, e.g. quantum noise and circuit QED Quantum optics and quantum information (EN) This lecture describes advanced concepts and applications of quantum optics. It emphasizes the connection with ongoing research, and with the fast growing field of quantum technologies. The topics cover some aspects of quantum information processing, quantum sensing and quantum simulation. Introduction to medical radiation physics (EN) This course covers the physical principles underlying medical diagnostic imaging (radiography, fluoroscopy, CT, SPECT, PET, MRI, US), radiation therapy and radiopharmacy. The focus is not only on risk and dose to the patient and staff, but also on an objective description of the image quality. Nonlinear dynamics, chaos and complex systems (EN) The course provides students with the tools to approach the study of nonlinear systems and chaotic dynamics. Emphasis is given to concrete examples and numerical applications are carried out during the exercise sessions. Quantum transport in mesoscopic systems (EN) This course aims to introduce the transport behaviors of micron-size systems, emphasizing learning about recent path-breaking experiments on 2D systems such as Graphene and other vad der Waala materials. The course will also introduce the concept of topological protection and strong correlations. Computational quantum physics (EN) The numerical simulation of quantum systems plays a central role in modern physics. This course gives an introduction to key simulation approaches, through lectures and practical programming exercises. Simulation methods based both on classical and quantum computers will be presented. Solid state systems for quantum information (EN) This course will give an overview of the experimental state of the art of quantum technology for Quantum Information Processing (QIP). We will explore some of the most promising approaches for realizing quantum hardware and critically assess each approach’s strengths and weaknesses. Astrophysics III : galaxy formation and evolution (EN) Galaxy formation & evolution is about studying how galaxies in our Universe come into existence, how they evolve and what shapes their properties. This course describes the observational facts of galaxies and the various processes of galaxy evolution as seen from theoretical/numerical models. Topics in biophysics and physical biology (EN) This course provides exposure to research in biophysics and physical biology, with emphasis on the nature of scientific breakthroughs, and using critical reading of scientific literature. Each week, we will discuss the research of one recipient of the Max Delbruck Prize in Biological Physics. Machine learning for physicists (EN) Machine learning and data analysis are central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised. Physics of life (EN) Life has emerged on our planet from physical principles such as molecular self-organization, thermodynamics, stochastics and iterative refinement. This course will introduce the physical methods to study life and will discuss the quantitative and physical concepts that make life possible. Mathematical aspects of quantum physics (EN) This lecture is a more advanced course in fonctionnel Analysis, presenting techniques with spécial interests for quantum Mechanics Nonlinear optics for quantum technologies (EN) This course provides the fundamental knowledge and theoretical tools needed to deal with nonlinear optical interactions, covering both classical and quantum theory of nonlinear optics. Particle physics: the flavour frontiers (EN) This course will present experimental aspects of flavour physics primarily in the quark sector but also in the lepton sector and their role in the development of the Standard Model of particle physics. Astrophysics II : interactions radiation-matter (EN) This course provides the essential concepts for understanding how stars form, evolve, radiate, and synthesize their chemical elements. These are fundamentals to tackle the variety of galaxy properties, and how their interstellar medium is gradually enriched with metals. MRI Practicals on CIBM preclinical imaging systems (EN) The goal of this course is to teach students how to perform basic MRI and MRS experiments in-vivo and ex-vivo directly on preclinical horizontal ultra-high field MRI systems. Physics of low dimensional materials (EN) This course covers the concepts and physics of matter at reduced dimensions. The fabrication and characterization as well as their potential application is discussed. The critical review and presentation of scientific publications is trained. Statistical physics : theory of phase transitions (EN) Phase transitions are ubiquitous, from the first instants of the universe to living matter. Despite the vast difference in microscopic details, some features of phase transitions are universal and can be explained by the careful use of statistical mechanics, leading up to the renormalisation group. Advanced superconducting magnet technologies (EN) The course will focus on the technologies related to the practical use of superconductors, from the manufacturing to their exploitation. The course also provides some examples of the use of superconductivity for relevant applications and the main technological challenges related to each of them. Fundamentals of crystallography and diffraction (EN) Crystallography and diffraction are fundamental to much of condensed matter and materials physics research. By developing the relevant formalisms, this course builds a solid basis for utilizing crystallography and diffraction, extending to crystalline phenomena that impact physical properties. Physics of magnetic resonance imaging (EN) The goal of this course is to develop a fundamental understanding of the physical principles underlying signal acquisition, image formation and reconstruction in magnetic resonance imaging (MRI) and to demonstrate how these principles enable modern biomedical imaging techniques and applications. Magnetism in materials (EN) The lectures will provide an introduction to magnetism in materials, covering fundamentals of spin and orbital degrees of freedom, interactions between moments and some typical ordering patterns. Selected experimental techniques and their application in current research will be presented. Nonlinear Optics (EN) Basic principles of optics Quantum field theory III (EN) The course builds on the material covered in Quantum Field Theory I and Quantum Field Theory II. It focusses on scalar field theories only. The course develops a deeper understanding of quantum field theory, while introducing advanced concepts and methods and applies them to concrete problems. Modern approaches to quantum gravity (EN) This course is an introduction to holography, the modern approach to quantum gravity. The 2026-2027 edition will consist of 3 parts taught by 3 different external teachers. The standard model (EN) The goal of this course is to explain the conceptual and mathematical bases of the Standard Model of fundamental interactions and to illustrate in detail its phenomenological consequences. Spintronics : basics and applications (EN) Starting from fundamentals of magnetism, the course develops the concepts required to understand and describe reading and writing processes of a magnetic bit. Similarities and differences between classical and quantum systems are addressed.
Statistical physics of computation (EN) The students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning. Quantum computing (EN) This course introduces quantum computing, starting with quantum mechanics and information theory. It covers the quantum circuit model, universal gates, foundational quantum algorithms, noise, quantum error correction, NISQ quantum algorithms, and an overview of recent progress. Quantum information theory (EN) After recapping the basics of quantum theory from an information
theoretic perspective, we will cover more advanced topics in
quantum information theory. This includes introducing measures of quantum information, and developing a more advanced understanding quantum states, channels and measurements. Frederic Joliot/Otto Hahn Summer School on nuclear reactors Physics, fuels and systems (EN) The School’s aim is to address the challenges of reactor design and optimal fuel cycles, and to broaden the understanding of theory and experiments.
The programme of each School session is defined by the International FJOH Scientific Board. Modern photovoltaic technologies (EN) A link between the fundamental physics, device operation and technological development of various solar cell technologies. Learning about all modern photovoltaic technlogies incl. industrially relevant wafer based silicon, thin film chalcogenide, III-V, multijunction, organic and hybrid solar cells. Nonlinear Spectroscopy (EN) To provide an introduction into the field of nonlinear spectroscopy, and focus in particular on linear and nonlinear light scattering Many-Body Approaches to Quantum Fluids (EN) Starting from a microscopic description, the course introduces to the physics of quantum fluids focusing on basic concepts like Bose-Einstein condensation, superfluidity, and Fermi liquid theory. Fusion and industrial plasma technologies (EN) The course provides an overview of the technologies that are essential for fusion developments and for industrial plasma
applications, highlighting the synergies between the two fields. The aim is to provide a combined theoretical and
experimental background to the various topics. General aspects of the electronic structure of crystals (EN) The course is aimed at giving a general understanding and building a feeling of what electronic states inside a crystal are. Electron Matter Interactions in Transmission Electron Microscopy (EN) This course will present the fundamentals of electronâmatter interactions, as occuring in the energy range available in modern transmission electron microscopes, namely 60-300 keV electrons. Diffraction and high-resolution image formation as well as electron energy-loss spectrometry will be covere Field Theory in Condensed Matter Physics (EN) Topics covered: Superfluidity in weakly interacting Bose gas, the random phase approximation to the Coulomb interaction in the Jellium model, superconductivity within the random phase approximation, the renormalization group analysis of non-linear-sigma models, the Kosterlitz-Thouless transition. Neutron and X-ray Scattering of Quantum Materials (EN) Neutron and X-ray scattering are some of the most powerful and versatile experimental methods to study the structure and dynamics of materials on the atomic scale. This course covers basic theory, instrumentation and scientific applications of these experimental methods. Statistical physics for optimization & learning (EN) This course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction to inference to machine learning, neural networks and statitics. Nonlinear Optics in Waveguides (EN) This doctoral level course will present an overview of nonlinear optical effects in waveguides/optical fibers.It will be focused on third order nonlinear effects which occurs in centrosymmetric media. Technical drawing for experimentalists (EN) This course covers the basics of technical drawings using CAD software, and transmits good practices to have complex, custom mechanical parts manufactured. Mechanical fabrication for physicists (EN) This course covers the basics of manufacturing using lathe, drilling and milling machines. This includes the safe operation of these machine, that students can then later use on their own at the IPHYS facilities. Integrated Nonlinear Photonics (EN) Integrated Nonlinear Photonics is an intensive doctoral-level course that trains participants in the theory, simulation, and design of optical devices based on second- and third-order nonlinear effects. Physical Optics and Advanced Imaging (EN) This course gives an introduction to principles of Fourier and physical optics, numerical propagation, and sampling. On the second half the course covers topics of advanced imaging, including 3 external lecturers who are experts in application or development of advanced imaging techniques. Advanced biomedical imaging methods and instrumentation (EN) The main goal of this course is to give the student a solid introduction into approaches, methods, and instrumentation used in biomedical research. A major focus is on Magnetic Resonance Imaging (MRI) and related methods, but other imaging modalities will be increasingly covered. Introduction to Frustrated Magnetism (EN) To provide an introduction to all aspects of the rapidly evolving field of frustrated magnetism:
1) New paradigms: spin liquids, spin ice, topological order, …
2) Basic models and methods
3) Experimental realizations
Non-equilibrium statistical mechanics simulations (EN) This course will introduce important results in non-equilibrium statistical mechanics and algorithms to compute properties out-of equilibrium. Coding exercises will deepen understanding of the formal results and provide insight in the physics of open systems. Magnetic confinement (EN) To provide an overview of the fundamentals of magnetic confinement (MC) of plasmas for fusion.The different MC configurations are presented, with a description of their operating regimes.The basic elements of particle & energy transport, of plasma-wall interaction & of burning plasma are introduced. Plasma Diagnostics in Basic Plasma Physics Devices and Tokamaks: from Principles to Practice (EN) The programme will allow students to learn plasma diagnostics and data processing methods of modern fusion experiments and to bridge the gap between diagnostics theory and experimental practice. Plasma instabilities (EN) To complete the theoretical knowledge acquired before the graduate studies. Parallel programming (EN) Learn to debug, benchmark, optimize, and parallelize scientific applications on HPC clusters using OpenMP and MPI. Through profiling and measurement, you’ll identify bottlenecks, evaluate optimizations, and understand performance using a finite-difference Poisson solver as a case study. Introduction to Metalorganic Vapour Phase Epitaxy of III-V semiconductors (EN) This course offers an insight into the science of epitaxial growth, a chapter of surface science requiring basic understanding of thermodynamics, crystallography, electronic and optical properties of semiconductors. Control and Operation of Tokamaks (EN) This course treats the main issues in operation and control of a tokamak. Control-oriented models are derived and controllers are designed using techniques from modern control theory. Operational limits are discussed as well as state-of-the-art research questions for future reactors. Advanced concepts in particle accelerators (EN) Accelerator physics covers a wide range of very exciting topics. This course presents basic physics ideas and the technologies underlying the workings of modern accelerators. An overview of the new ideas and challenges of the possible paths towards the next generation of accelerators will be given. Lecture series on scientific machine learning (EN) This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method. Axiomatic Quantum Field Theory (EN) Presentation of Wightman’s axiomatic framework to QFT as well as to the necessary mathematical objects to their understanding (Hilbert analysis, distributions, group representations,…).
Proofs of the main mathematical consequences (CPT, spin-statistics, Reeh-Schlieder, Haag no-go). Attosecond radiation sources (EN) This course describes the principles of attosecond photons and electron pulses generation Atomic and radiative processes in plasmas (EN) The course covers atomic structure, collisional-radiative (CR) processes, and spectroscopic techniques. Students learn to critically apply CR models, evaluate spectroscopic tools, and interpret experimental data obtained in different plasmas. CIBM translational MR neuroimaging & spectroscopy (EN) Magnetic resonance imaging (MRI) and spectroscopy (MRS) will be addressed in detail, along with experimental design, data gathering and processing on MRS, structural and functional MRI in humans and rodents, and hands-on experience with MRI scanners. Introduction to quantum science and technology (EN) A broad view of the diverse aspects of the field is provided: quantum physics, communication, quantum computation, simulation of physical systems, physics of qubit platforms, hardware technologies. Students will grasp the field as a whole and better orient themselves on specialized topics. Microwave engineering in physics (EN) This course aims at teaching basic notions and tricks of microwave engineering to students with only an elementary knowledge of applied electromagnetism. Emphasis is made on topics that often arise in modern physics experiments, including quantum science and technology research. Aspects of quantum science and sustainability (EN) We explore the intersection of quantum technologies and sustainability. Topics: 1)discussions of fundamental aspects of thermodynamics of computation; 2)analysis and benchmarks of energy consumption in current and near term real quantum devices; 3)projects on use cases through personal student work. Fundamentals of quantum sensing and metrology (EN) This course introduces the physical principles and technologies behind quantum measurement systems. Emphasis is placed on both theoretical foundations and real-world implementations. Modern quantum algorithms (EN) Modern Quantum Algorithms is a fast-paced, proof-based introduction to the algorithmic toolkit of quantum computing, starting from quantum circuits and universality, and building up core primitives before proceeding to a unifying Fourier-analytic view and more modern perspectives. Systems approaches for urban transitions (EN) The objective of this course is to rethink urban transitions by taking a systemic perspective. It provides the foundation for analyzing and designing urban transitions, integrating technical infrastructure, ecological, and social aspects. Urban governance (EN) This course equips students with the tools for influence within institutional systems, drawing on the fields of sociology, political science, and social psychology. It explores how to better convince decision-makers, shift behaviors, and design more effective and impactful public policies. Social justice and transition in the urban context (EN) This course explores the connections between spatial justice, social equity, and the socio-ecological transition. Through theoretical insights and empirical case studies, it provides tools to critically assess urban transformations and imagine fairer and more hospitable cities. Computational methods in urban studies (EN) CMUS will focus on acquiring insights into, engaging with, and modeling the processes of spatial transformation in contemporary societies. It will integrate statistical techniques and critical urban theory to promote socially and environmentally fair policies against the climate crisis. Railway systems and their transition (EN) This course provides foundational knowledge of transport systems, with a particular emphasis on rail systems, highlighting their strengths and weaknesses, amongst others in the context of climate change. Science and technology in urban transformation (EN) Cities are complex systems shaped by natural, technological, and social factors with historical roots. Through global case studies, this course will explore how science and technology transform cities into objects of knowledge and intervention. Shaping future railway systems (EN) This course focuses on the strategies and decisions involved in planning future rail systems in an era of decarbonized mobility. AI for urban history (EN) This course explores how AI and LLMs can be used to analyze historical urban data. Students study city evolution (1700-now) through hands-on projects, producing a web interface and a visual booklet based on sources like maps, directories, and cadastral records. Urban digital twins (EN) This course explores urban digital twins through theory and hands-on modeling. Students build dynamic models integrating real-time, historical, and predictive data. A project on the EPFL campus using real data serves as the case study. Core project: Urban Systems studio (EN) Interdisciplinary urban design studio addressing site and territory through multiple urban systems. Combines architectural, infrastructural, and social approaches to develop critical, experimental, and context-responsive urban interventions. Studio BA1 (FR) The course aims at acquiring the essential tools to design and build an architectural project and an understanding of architecture as craft, thought and attitude, using the conception of space as a way to understand the relationship between living beings within the environment. Studio BA2 (FR) The course aims at acquiring the essential tools to design and build an architectural project and an understanding of architecture as craft, thought and attitude, using the conception of space as a way to understand the relationship between living beings within the environment. Architectural theory, initiation (FR) This course offers an introduction to architectural theory through the analysis of a set of fundamental concepts that have shaped and guided the structuring and evolution of the discipline. Art and figuration (FR) Training in analogue and digital methods of architectural representation through the study of a small vernacular building. Building envelope and interior fit-out (FR) Introduction to the design of construction elements, the criteria for selecting suitable building materials, and the methods and techniques for assembling these elements, with the aim of learning how to create coherent, high-performing, and sustainable buildings. Digital models (FR) The objective of the digital modeling course is to learn and manipulate the basic functions of the Rhinoceros 3D assisted design software through the development of a simple model. Anthropology of inhabited spaces (FR) Design begins with observation. This course introduces architecture students to anthropological tools for observing, describing and interpreting how individuals and social groups inhabit, transform and make sense of the spaces they live in. Architectural Tomography (FR) This course situates the act of drawing as an act of spatial, constructive and contextual investigation. It introduces 2-D sectional drawing as a sociotechnical tool in architecture with a fundamental role in measuring, understanding and imagining complex and situated spatial conditions. Public law for architects (FR) This course provides future EPFL architects with the basic knowledge and skills in public law required to contribute to the design and execution of architectural projects, in Switzerland or abroad – by analogy. Studio BA3 (Blanc A.) (FR)
The course deals with understanding urban phenomena in the field of rural construction. Studio BA3 (Fröhlich M. & A.) (EN) The Studio explores types and typologies to understand how buildings respond to social, environmental, and technological conditions. The first semester focuses on historical drying and storage buildings; the second on transforming tobacco-drying houses in Fribourg into collective housing. Studio BA3 (Truwant et Rodet) (FR) Inclusive Fictions: Students will investigate how accessibility can redefine domestic space through the transformation of an existing building in Renens. they will explore accessibility not simply as a technical requirement, but as a spatial, social and political condition. Studio BA3 (Peris et Toral) (EN) This studio explores collective housing through Kahn’s servant and served spaces. Students analyse references in a shared Typology Atlas and apply an assigned strategy to a row-house cluster, connecting inhabitation with spatial, structural and construction systems Studio BA3 (Rey) (FR) Through an approach that encompasses various scales of intervention – from urban design to construction detail – the studio aims to explore architectural strategies for regenerating urban areas with a focus on urban transition and climate adaptation. Studio BA3 (Taillieu) (EN) A house is the simple topic of this studio. A matter of simple complexity. Learning about a house is learning about architecture. The first part of the year is about learning about a house. The second part is about making your house. Studio BA4 (Truwant et Rodet) (FR) Inclusive Fictions: Students will investigate how accessibility can redefine domestic space through the transformation of an existing building in Renens. they will explore accessibility not simply as a technical requirement, but as a spatial, social and political condition. Studio BA3 (Peris et Toral) (EN) This studio explores the transformation of existing structures into cluster housing at STAVECO, Bologna. Students develop strategies for collective inhabitation through adaptive reuse, connecting servant and served spaces with spatial, structural, material and environmental systems. Studio BA4 (Rey) (FR) Through an approach that encompasses various scales of intervention – from urban design to construction detail – the studio aims to explore architectural strategies for regenerating urban areas with a focus on urban transition and climate adaptation. Studio BA4 (Taillieu) (EN) A house is the simple topic of this studio. A matter of simple complexity. Learning about a house is learning about architecture. Theory and techniques of architectural figuration (FR) The course imparts the theoretical foundations of the history of figurative art and introduces the operative techniques of representation. The main aim is to integrate the use of digital tools into the intellectual dimension of the discipline. Advanced CAO and Integrated Modeling DIM (FR) 1st year: basics of 2D (3D) computer representation.
From one to several software: ability to choose the appropriate 2D and 3D tools.
Linking CAD and DIM tools: critical view and ability to choose the methods necessary for the desired result. History of Architecture V/VI (EN)
This is a survey course on the history of architecture of the twentieth century.
Building services and addenda (FR) An introduction to the technical systems that ensure comfort, energy efficiency and safety in a building (heating, ventilation, plumbing and electricity).
Consolidation and further study of the concepts of structural design, construction and building physics. Urban and territorial analysis (FR) The course aims to provide students with the tools necessary to analyze and understand the contemporary city and territory. Collective housing: buildings, rooms, components (FR) This course provides the tools for reading and understanding the architecture of housing.
Its urban, typological, spatial, functional, sociological, climatic, cultural, and formal dimensions are explored through three scales: the building, the room, and the element. Studio BA5 (Delhay) (FR) The house as a city – The continuous households.
Study trip – Zurich: 4th to 6th October 2025 Studio BA5 (Malterre-Barthes) (EN) This drawing based research studio examines construction as nested systems of material extraction, exploitation, cultural production, and value generation. It seeks to unpack, reveal, and communicate the complexity of actors and forces shaping contemporary space production.
Studio BA5 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio BA5 (Cierto) (EN) The studio focuses on the domestic world. Through a sequence of architectural fragments, students progressively construct a dwelling from the inside out, allowing each exercise to reshape the next. Studio BA5 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city through the hypothesis of critical gardens as spaces for action. Two territories will be investigated over the course of the year: Bordeaux Métropole and Greater Geneva. Studio BA5 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio BA5 (Loeliger et Strub) (EN) Starting from the question “How do we want to live?”, we explore architecture as a means to imagine new forms of living together. Across two consecutive semesters, students develop urban housing concepts from contrasting perspectives, integrating social, ecological, and constructive questions. Studio BA5 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio BA5 (Parabase) (EN) In EXFORMA, conceptual and constructive thinking is developed through 3D modeling, AI-generated imagery, and construction detailing. The atelier explores new perspectives on building construction through the reuse of components from outside the architectural field, focusing on innovative techniques. Studio BA5 (MacIver-Ek et Chevroulet) (FR) Renewable energy’s real challenge is storage, not scarcity. Architecture, massive by nature, is the ideal battery: energy shapes structure, form and space. Reviving the archetype of the mill, storage transcends infrastructure and becomes a piece of civic architecture, uniting culture and energy. Studio BA5 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio BA5 (Lapierre) (FR) From Shaker communities in the USA to the question of housing in Basel, the semester examines dwelling as both intimate and collective, exploring the transformation of workspaces into new places of sharing Studio BA5 (Braghieri) (FR) The studio’s objective is to investigate the topic of construction and recolonization within the Alpine region. The program seeks to establish a commun mixing habitat and handcraft. Studio BA6 (Delhay) (FR) The city as a house – The little associative house.
Study trip – Paris, 7-9 mars Studio BA6 (Malterre-Barthes) (EN) How is architecture made? ‘Revolutionize Construction’ unpacks the political economy of construction, examining who commissions, finances, and builds, and interrogating architects’ roles. It explores how these systems might be revolutionized to enable the emergence of post-extractive architecture. Studio BA6 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio BA6 (Cierto) (EN) The studio expands its focuses on the domestic world to the scale of the city. Beginning with an existing urban structure, students design collective housing by moving from public space to the dwelling, before returning once again to the city. Studio BA6 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and greater Geneva.
Studio BA6 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio BA6 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio BA6 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio BA6 (Lapierre) (FR) This semester explores the Berlin/Rome/Lausanne triangulation. Ungers’ archipelago, the Nolli map, and Foucault’s heterotopias serve as theoretical benchmarks for designing public facilities in Lausanne as “constructed utopias.” Introduction to computational architecture (EN) This course introduces the students to text programming practice in 3D modeling (Rhinoceros3D). The main objective of the course is to develop a computational mindset to maximize the use of efficient digital tools in architectural design. Constructing the view: built images (EN) What is meant by the term “image” as pictorial representation? How do we read, process and interpret images – and what premises can be derived from this for the conception and production of meaningful images? Urban anthropology: methods and fieldwork (FR) This course explores the conceptual approaches of urban anthropology, its methods and fieldwork practices. Drawing on a historical and comparative perspective, it seeks to build critical and practical knowledge about how people inhabit urban space, here and elsewhere. Designing built heritage: Tools and methods (FR) 70% of the work of architectural offices is conducted in the existing. The course aims to provide students with the basic theoretical and practical tools to approach the project in the existing, on the current built heritage but also the monumental heritage. Transformation and energy retrofit (FR) This course is an initiation to the specificities and the methodology of a renovation project. Following a diagnosis of an existing building, the students develop renovation strategies and verify their technical and architectural pertinence regarding the building. Under construction (EN) This theory course considers the building as a material thing, focusing on the process and matter of architecture to examine how buildings come into being and stay (or don’t) in place: through discourse, site, materials, and work. History of park and garden design (EN) The course introduces the most important periods of European and international garden history and design up to the present day and shows the importance of public parks and green spaces for modern urban development. Students are given the opportunity to analyze and interpret their own example. Theory of urbanism (FR) The course examines 19th-21st c. urban models, by exploring the tension among theoretical discourses, projects, and the forms of urbanisation that have been realised. The dialectic between the concepts of the finite city and the unlimited city-territory will form the central theme. Architecture in the age of acceleration (FR) This course examines twelve theoretical positions for an architecture in the age of acceleration. By situating these positions in a recent history of architecture and placing them in a current context, this course aims to grasp their relevance for contemporary practice. Studio MA1 (Delhay) (FR) The house as a city – The continuous households.
Study trip – Zurich: 4th to 6th october 2025 Studio MA1 (Malterre-Barthes) (EN) This drawing based research studio examines construction as nested systems of material extraction, exploitation, cultural production, and value generation. It seeks to unpack, reveal, and communicate the complexity of actors and forces shaping contemporary space production.
Studio MA1 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio MA1 (Cierto) (EN) The studio focuses on the domestic world. Through a sequence of architectural fragments, students progressively construct a dwelling from the inside out, allowing each exercise to reshape the next. Studio MA1 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and Grand Genève.
Studio MA1 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio MA1 (Loeliger et Strub) (EN) Starting from the question “How do we want to live?”, we explore architecture as a means to imagine new forms of living together. Across two consecutive semesters, students develop urban housing concepts from contrasting perspectives, integrating social, ecological, and constructive questions. Studio MA1 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio MA1 (Parabase) (EN) In EXFORMA, conceptual and constructive thinking is developed through 3D modeling, AI-generated imagery, and construction detailing. The atelier explores new perspectives on building construction through the reuse of components from outside the architectural field, focusing on innovative techniques. Studio MA1 (MacIver-Ek et Chevroulet) (FR) Renewable energy’s real challenge is storage, not scarcity. Architecture, massive by nature, is the ideal battery: energy shapes structure, form and space. Reviving the archetype of the mill, storage transcends infrastructure and becomes a piece of civic architecture, uniting culture and energy. Studio MA1 (Huang) (EN) The studio examines the effects of artificial intelligence on architecture and cities. Generative tools are approached as cultural and political instruments, shaping design through data grounded in territory, economy, identity, imagery, and ecology. Studio MA1 (Lapierre) (FR) From Shaker communities in the USA to the question of housing in Basel, the semester examines dwelling as both intimate and collective, exploring the transformation of workspaces into new places of sharing Studio MA1 (Braghieri) (FR) The studio’s objective is to investigate the topic of construction and recolonization within the Alpine region. The program seeks to establish a commun mixing habitat and handcraft. Studio MA2 (Delhay) (FR) The city as a house – The little associative house.
Study trip – Paris, 7-9 mars Studio MA2 (Malterre-Barthes) (EN) How is architecture made? ‘Revolutionize Construction’ unpacks the political economy of construction, examining who commissions, finances, and builds, and interrogating architects’ roles. It explores how these systems might be revolutionized to enable the emergence of post-extractive architecture. Studio MA2 (Devaux) (FR) The studio is a concrete and prospective project situation in an existing site. The villa Tempe a Pailla site (Eileen Gray, 1932) in Menton (French Riviera) serves as the focus of the project for the entire 2026-2027 academic year. Studio MA2 (Cierto) (EN) The studio expands its focuses on the domestic world to the scale of the city. Beginning with an existing urban structure, students design collective housing by moving from public space to the dwelling, before returning once again to the city. Studio MA2 (Eliasson) (FR) The studio explores new collective perspectives in the decentralized contemporary city, through the hypothesis of critical gardens as a space for action. Two territories will be investigated during the year : Bordeaux Métropole and greater Geneva. Studio MA2 (Grillo et Vasiu) (EN) This studio approaches architecture as a dynamic field of information, using data as a core design material. Students analyze existing complex fragments of territories with the goal of inserting opportunistic architectural and infrastructural interventions. Studio MA2 (Weyell Zipse) (EN) The Systemic Type explores architecture as an open system, adapting to changing environmental, social and programmatic conditions. Typology is understood not as a fixed model, but as a set of relationships between structure and space, inside and outside, climate and material, permanence and change. Studio MA2 (Huang) (FR) L’atelier examine les effets de l’intelligence artificielle sur l’architecture et les villes. Les outils génératifs sont envisagés comme des instruments culturels et politiques, structurant le projet à partir de données ancrées dans le territoire, l’économie, l’identité, l’image et l’écologie. Studio MA2 (Lapierre) (FR) This semester explores the Berlin/Rome/Lausanne triangulation. Ungers’ archipelago, the Nolli map, and Foucault’s heterotopias serve as theoretical benchmarks for designing public facilities in Lausanne as “constructed utopias.” Architectural anthropology (EN) This course introduces key anthropological debates and methodological approaches that are concerned with architectural productions, knowledge, and design practices.
Restore, transform and create – Practices (FR) Working with what already exists requires specific methods and tools. Mastering them means understanding what’s already there. Once it has been made intelligible through a heritage study, it can be rehabilitated. Rehabilitation ranges from restoration to creation and transformation. Drawing Structures – Docta Manus (EN) The Unit will introduce drawing as the key tool for communication between engineers and architects, and as a mediator between construction and the student. Through drawing, we will analyze selected structural projects that embody an exemplary interaction between space and structure. UE S : Foundations, basements, and the underground (EN) Using qualitative and quantitative analysis, this course will explore the underground of architecture, infrastructure, and cities from multiple perspectives (structure, material, space) to understand both its requirements and possibilities as a key part of today’s densifying cities. Constructing the view: still life (EN) This course explores visual strategies and techniques for creating apparent reality. The course concentrates on the field of 3D computer graphics and the production of still lifes as computer-generated images (CGI). UE N : Constructing the view (EN) This course focuses on the production of utopian scenarios using experimental composition techniques. By means of digital montage, the fictitious scenes are meaningfully conveyed in a series of images. Architecture and monasticism (EN) This course aims to give a general overview of the history of monasticism in relation to architecture. Constructing the view: in motion (EN) This course addresses the subject of moving images. It focuses on the field of 3D computer graphics and the animation of computer-generated images (CGI). UE G : Drawing Spaces (EN) The proposed UE Drawing Spaces is conceived as a long-term research and teaching series investigating the foundations of architectural space through analytical drawing practices. Environmental history and architecture (FR) The course explores the intersections between architectural and environmental history, focusing on a series of themes (climate, energy, materials, more-than-human, growth, ecology) and analysing the written, drawn and built works of architects and historians from the 20th and 21st centuries. Confort by design in the 20th century architecture (FR) The main objective of this course, is to highlight the centrality of building services in the design of architecture; to grasp the implications of âcomfort designâ as a feature of âarchitectural designâ and to explore the intersection of the sensorial and the material in architectural histor UE H : Graphy (FR) Experiment graphic tools to represent architecture. Exercise the skill of communicating via these tools, through repeated practice of eye/hand/brain connections; a reflection stemming from the theories of representation; and by searching for inventive solutions. UE R: Introduction to BIM (Building Information Modeling) (EN) This UE explores more in details, and in a more practical way, the concepts introduced during the BIM introduction course AR-484. All project different phases are addressed, with an emphasis on interdisciplinary collaboration and data exchanges. UE F : Architecture and rehabilitation (FR) This course aims to raise the students’ awareness to the specificities of a renovation project. The Teaching Unit focuses on the relation between renovation demands and a broad architectural vision, with particular emphasis on sustainable development. UE K : Architecture and Sustainability : performance studies (FR) This course is based on the team design of a temporary, mobile and sustainable theater. A pedagogical approach which will focus on the introduction of the concepts of sustainability applied to the design of a project with a short life span. Comfort and architecture: sustainable strategies (EN) This class offers an overview about comfort evaluations in architectural design and suggests passive and low-energy strategies suited to ensure the highest possible indoor environment quality for buildings. Architecture and Solar energy (FR) This course aims to provide architects with the knowledge and critical perspective needed to use appropriate solar technologies and strategies (passive and active, winter and summer) within a coherent architectural design project. City and mobility (FR) The City and Mobility course focuses on the basic knowledge of mobility, starting from lifestyles to inform architecture and engineering.
In particular, it explores how cities and mobility are co-constructed. UE D : Urban planning and territory (FR) The UED aims to familiarize itself with diagnostic methods that incorporate social practices and customs, since “living” encompasses not only the physical space of one’s home, but also the entire range of life experiences and familiar places that people use, experience, and grow attached to. UE J : Territory and landscape (FR) TU J initiates students to urban and territorial analysis, in the light of a research hypothesis. A sequence of operations is proposed: survey/description; spatial principles (form/rationale/dynamics); territorial visions.
UE U : Cartography (EN) Teaching unit on cartography and environmental aesthetics in architecture.
UE X : Experience design (EN) Experience Design examines the effects of digitalization on architectural typologies in the contemporary city. The course questions traditional typologies by focusing on an understanding and re-design of social, geographic, temporal and emotional experiences. Introduction to BIM (Building Information Modeling) (FR) Based on feedback from BIM professionals, this introductory course will allow you to acquire a global vision.. Urban sociology (FR) This course aims to familiarize students with urban sociology through the lens of housing. It enables them to navigate the concepts, tools, and methods the discipline offers to understand the simultaneous evolution of lifestyles and the spatial and political organization of territory.
Deman Land and real estate economics (FR) This MOOC-based course prepares students to analyse the economic context of construction projects: land acquisition, land prices, property prices, housing prices (rental and ownership), in an urban setting. By the end of the course, students will understand the determinants of these prices. Spatial and Regional Economy (FR) An introductory course designed to provide a historical perspective on the spatial distribution of people and activities. Behind/Beyond future cities (EN) We are living in an urban world and the design of sustainable cities is essential in order to decrease our energy footprint. This course provides the instruments to understand the complex urban metabolism, as well as the solutions for planning future smart and sustainable cities. Building design in the circular economy (EN) The class introduces the concept of circular economy and its applications to building design, with a focus on design with reused components and design for disassembly. The class develops critical thinking skills over and above theoretical and technical inputs. Digital design and making: A critical introduction (EN) The course introduces digital design and fabrication methods by combining the transfer of technical skills with theoretical knowledge and critical reflection. Topics include: scripting/programming for design, mass customisation through digital fabrication and robotic construction. Sustainable Japanese architecture and landscape (EN) This course focuses on the circulation of the imaginary between cultures. It shows how major Western architects, landscape designers, painters and sculptors have been inserting sustainable architectural and landscape Japanese devices and notions into their designs since the 19th century. Modernity I (EN) Theory course on modernist environmental aesthetics in architecture. UE C : Habitat and society (FR) By articulating theoretical and architectural knowledge with socio-political knowledge, the UE aims to explore the possibility of a renewed contemporary imagination around productive housing. The origins of modern domestic space (EN) The course is part of a three-year trajectory dedicated to a comprehensive history of domestic space and its relationship with urban form from its prehistoric origins to Neoliberal times.
UE V : Atlas alpinus (FR) The teaching unit will take the form of a collective research studio on the forms, materials and techniques of Alpine building culture. Bibliographical analysis, fieldwork and redrawing of built heritage will form the scientific basis for the construction of a shared atlas. Marvelous Architecture (FR) This course investigates a specific definition of architectural rationality, borrowing from Surrealism and Bachelard’s epistemology in an attempt to understand how architectural forms work when they amaze us. Exquisite Corpse: Architecture Assembled (EN) Through close readings of key examples, the course revisits the historical evolution of architectural drawing and representation as autonomous entities, aiming to reclaim the agency of architectural drawing as a project. Introduction to building archaeology (FR) This course imparts the basic notions of study and analysis methods in construction archaeology. The aim is to develop students’ understanding of ancient buildings, enabling them to take a more sensitive approach to architectural objects. Urban Green Spaces and Blue-Green Infrastructures (EN) Urban green offers a variety of services and thus plays an important role in the transformation of our cities. The course provides an overview of various innovative approaches to the planning and design of multifunctional green spaces, focussing on how to build green and blue infrastructures. UE A : Patterns for bio-based material envelopes (EN) This course explores vernacular architecture through the analysis of bio-based construction systems, geometry, and structural principles. Using digital modeling, students investigate traditional building methods and translate their principles into innovative and sustainable design solutions. Territories and housing architecture (FR) Adaptation to climate change, evolving lifestyles, and the priority placed on inward development are motivating a deeper understanding of the architectural characteristics of housing (scope, evolution, recurring patterns, and future) as well as the contexts in which it operates. Superstudio A (FR) Le Superstudio étudie l’histoire de la villa en se concentrant sur 30 cas d’étude de l’Antiquité jusqu’au 20ème siècle. L’objectif de ce studio est de comprendre, à travers l’étude architecturale des villas, les éléments les plus essentiels de l’architecture : forme, politique et représentation. EDAR thesis writing workshop (FR) The workshop will equip participants with practical skills necessary to make thesis writing smoother and better organized. Main issues covered are: getting started, stucture and argumentation, time management and self-motivation, getting and handling feedback, publications and technical tools. Against Data – Decolonizing Research (EN) This seminar will interrogate the far-fetched claim of neutrality in research at large, and of doctoral research in particular, through the lens of decolonial research discourse. Memory matters (EN) Materials embody memories of craft, industry, culture and landscape. Ordinary buildings hold layered legacies yet pose ecological and reuse challenges. The course rethinks heritage through materials, examining their assessment, documentation, and potential for careful disassembly and reuse. Horizontality and its project (EN) This seminar proposes to revisit horizontality as a mode of critical engagement with the socio- political, ecological, and economic processes of urbanization. Participant will be asked to develop a critical perspective on each of the three seminar session. Theory and Method in the Study of Architecture, Art and the City (EN) PhD students are introduced to key texts, concepts, and terms in the history of art and of the built environment. They will hone their ability to critically analyze important scholarly and theoretical essays, develop their own interpretations and present key ideas to their peers. Collective Figurations of Baukultur (EN) Conceptualizes figuration in architecture and urban design within historical and theoretical debates on representation; historicizes design research; critically contrasts operative representations with collective figurations and assesses their implications for democratic co-design. Making the World Discrete. Workshop on Methods II (EN) This workshop invites three leading scholars in art, architecture history – Prof. Aleksandr Bierig, Prof. Lucia Allais, and Prof. Emanuele Lugli – to present and discuss their work on the intersections between art, architecture, and numerical regimes from the early modern period through the 20th. Capitalizing on Uncertainty (EN) SUMMER SCHOOL – Capitalizing on Uncertainty is a 6-day Summer school exploring uncertainty as a productive resource in design and fabrication through lectures, hands-on experiments, and the collaborative design and construction of a full-scale structure in a human-robot fabrication setting. Cellular biology and biochemistry for engineers (EN) Basic course in biochemistry as well as cellular and molecular biology for non-life science students enrolling at the Master or PhD thesis level from various engineering disciplines. It reviews essential notions necessary for a training in biology-related engineering fields. Introduction to life sciences (for IC) (EN) Introduction to Life Sciences provides snapshots of representative fields in modern biology, many of which nowadays heavily rely on computational methods. Bio-organic chemistry (EN) The aim of the course is to provide a chemical understanding and intuition to decipher and predict chemical processes in living systems. Integrated labo in Life sciences I (FR) Over two semesters, you will use molecular biology, cell biology, and biochemistry to clone a cDNA into an expression plasmid and then produce, purify, and characterize the recombinant protein. Integrated labo in Life sciences II (FR) Over two semesters, you use molecular biology, cell biology, and biochemistry to clone a cDNA into an expression plasmid and then produce, purify, and characterize the recombinant protein. Cellular and molecular biology I (EN) The course covers the regulation of gene expression, which translates the information contained in the genome into function, by adjusting the levels and activities of mRNAs and proteins to the needs of specific cells, tissues and environments. A particular emphasis is given on experimental methods. Cellular and molecular biology II (EN) This course is aimed to familiarize students with the 3D organization of a eukaryotic cell, its compartmentalization, how cellular compartments communicate together and how a cell communicates with its environment. The related molecular mechanisms will be discussed. Applied software engineering for life sciences (EN) We learn and apply software engineering principles to develop Python projects addressing life science problems. Projects will be expanded iteratively throughout the semester. Biological chemistry I (EN) Biochemistry is a key discipline for the Life Sciences. Biological Chemistry I and II are two tightly interconnected courses that aim to describe and understand in molecular terms the processes that make life possible. Biological chemistry II (EN) Biochemistry is a key discipline in the Life Sciences. Biological Chemistry I and II are two tightly interconnected courses that aims to understand in molecular terms the processes that make life possible. Cell and developmental biology for engineers (EN) Students will learn essentials of cell and developmental biology with an engineering mind set, with an emphasis on animal systems and quantitative approaches. Mechanics of cells and tissues (EN) In this course, students will explore how mechanical stimuli shape molecular responses, cell behaviors, and tissue architecture, with an emphasis on regeneration and disease. Basic image analysis tools will be introduced to determine cellular and tissue properties. Immunology (FR) This course describes the human immune system, and the immunological bases of vaccination, transplantation, immunotherapy and allergy. It also describes the role of stem cells in the formation of tissues, in particular the hematopoietic lineage. Neuroscience (EN) This neuroscience course progresses from core cellular mechanisms of neuronal signaling to integrated brain systems controlling sensory processing, movement, and behavior, culminating in learning, memory, and nervous system disorders. Genomic solutions to sustainable development (EN) The course will teach how genome sciences contribute to sustainable development. Students will learn how genome sequencing technologies and applications are being used to address current challenges in agriculture, biodiversity conservation, healthcare, and climate change via lectures and practicals. Biology and engineering of membrane signaling (EN) This course introduces the basic biology of cell membranes and membrane proteins, and explains how they control communication between cells and their environment. Students will also learn how membrane proteins are studied and engineered in modern biology and bioengineering. Structural biology (EN) The main focus of this course is on the molecular interactions defining the structure, dynamics and function of biological systems. The principal experimental and computational techniques used in structural biology, as well as molecular modeling and design will be introduced and practiced. Morphology I (FR) This class is a specific preparation for the admission exam to join the third year of the Medical School. It covers the macroscopic (anatomy), microscopic (histology) morphology of the human body with a medical perspective. The correlation between structure and function is systematically described. Biological data science II : machine learning (EN) Students understand basic concepts and methods of machine learning. They can describe them in mathematical terms and can apply them to data using a high-level programming language (julia/python/R). Dynamical systems in biology (EN) Life is non-linear. This course introduces dynamical systems as a technique for modelling simple biological processes. The emphasis is on the qualitative and numerical analysis of non-linear dynamical models. Examples are taken from biology and population models. Randomness and information in biological data (EN) Biology is becoming more and more a data science, as illustrated by the explosion of available genome sequences. This course aims to show how we can make sense of such data and harness it in order to understand biological processes in a quantitative way. Microbiology (EN) This course will provide an introduction to fundamental concepts in microbiology. Special emphasis will be given to the surprising and often counter-intuitive physical world inhabited by microorganisms. Genetics and genomics (EN) The theoretical part of this course covers classical genetics and contemporary genomics. Because bioinformatics has become important for genomic research, the course also includes practical applications to genomic analyses using Python, including group projects. Physiology by systems
(FR) The course aims at knowing and understanding the function of the cardiovascular, urinary, respiratory, gastrointestinal, basal metabolism and its regulation in the frame of a biomedical and scientific approach. Physiology lab I (FR) The physiology laboratory introduce the experimental methods in the biomedical field, including experimental set-ups, transducers, signal conditioning, data acquisition and processing.
The physiological end results illustrate the contents of the Physiologie par systèmes course. Physiology lab II
(FR) The physiology laboratory introduce the experimental methods in the biomedical field, including experimental set-ups, transducers, signal conditioning, data acquisition and processing.
The physiological end results illustrate the contents of the Physiologie par systèmes course. Oncology (EN) This course provides a comprehensive overview of the biology of cancer, including common mechanisms that cancer cells use to grow and disseminate in humans and in animal models. Bioimage informatics (EN) The course provides a comprehensive overview of methods, algorithms, and computer tools used in bioimage analysis. It exposes fundamental concepts and practical computer solutions to extract quantitative information from multidimensional images, both using engineering methods and deep learning. Life Sciences engineering: genome to function (EN) Students will acquire fundamental knowledge regarding how genomes can be engineered, how their function can be deciphered, and how their dynamic outputs can be analyzed and modeled, exemplified with a focus on cell cycle progression and proliferation control. Nutrition: from molecules to health (EN) The course addresses methods/technologies to study how nutrition affects biological and pathophysiological processes. It provides an overview of molecular phenotyping of individuals and key aspects to perform clinical investigations, covers nutrigenomics, genetics, micronutrients, microbiota. Fundamentals of biophotonics (EN) This module serves as an introduction to the area of biophotonics. The approach is multidisciplinary .The course is mainly knowledge-based but students will benefit from the skills learned by carrying out problem solving and by completing the assignment. Stem cells and organoids (EN) This course introduces the fundamentals of stem cell biology, with a particular focus on the role of stem cells during development, tissue homeostasis/regeneration and disease, and the generation of organoids from stem cells Understanding statistics and experimental design (EN) This course is neither an introduction to the mathematics of statistics nor an introduction to a statistics program such as R. The aim of the course is to understand statistics from its experimental design and to avoid common pitfalls of statistical reasoning. There is space to discuss ongoing work. Molecular endocrinology: health and environment (EN) We will define homeostasis, principles of hormone regulation and the molecular mechanisms underlying hormone action and their pharmacologic exploitation. Human interactions with the environment, pertinent public health issues and their causes and preventative strategies will be analyzed. Genomics and bioinformatics (EN) This course covers various data analysis approaches for applications of DNA sequencing technologies, from genome sequencing to quantifying gene evolution, gene expression, transcription factor binding and chromosome conformation. Scientific project design in cell and developmental biology (EN) Students are led to understand selected concepts in cell and developmental biology through the analysis of scientific literature, and then apply these concepts to the design and execution of a group project in either the Gönczy or the Oates laboratory. Scientific literature analysis in bioengineering (EN) Students are given the means to dig effectively into modern scientific literature in the multidisciplinary field of bioengineering.
The method relies on granting sufficient time to become familiar with the background and hypotheses, on effective support during the analysis and on oral assessment. Scientific literature analysis in computational molecular biology (EN) The goal of this course is to learn to analyze a scientific paper critically, asking whether the data presented support the conclusions that are drawn. The analysis is presented in the form of a summary presentation and critical, constructive assessments of the paper. Cancer biology I (EN) The course covers in detail molecular mechanisms of cancer development with emphasis on cell cycle control, genome stability, oncogenes, tumor suppressor genes, signaling pathways involved in cancer, genomic cancer analysis and rational cancer therapies.
Cancer biology II (EN) The course covers in detail the interactions of cancer cells with their environment with an emphasis on tumor-angiogenesis, inflammation, adaptive and innate immunity and cancer-induced immune suppression. Additional topics are cancer metabolism, cancer stem cells and metastasis. Infection biology (EN) Infectious diseases (ID) are still a major problem to human health. But how do pathogens make us sick? How do they evolve and spread? The discovery and use of antibiotics and vaccination has changed the outcome of some IDs. But resistance mechanisms have evolved and are of major concern. Neuroscience: from molecular mechanisms to disease (EN) The goal of the course is to guide students through the essential aspects of molecular neuroscience and neurodegenerative diseases. The student will gain the ability to dissect the molecular basis of disease in the nervous system in order to begin to understand and identify therapeutic strategies. Neuroscience: cellular and circuit mechanisms (EN) This course focuses on the biophysical mechanisms of mammalian brain function. We will describe how neurons communicate through synaptic transmission in order to process sensory information ultimately leading to motor behavior. Neuroscience: behavior and cognition (EN) The goal is to guide students into the essential topics of Behavioral and Cognitive Neuroscience. The challenge for the student in this course is to integrate the diverse knowledge acquired from those levels of analysis into a more or less coherent understanding of brain structure and function. Scientific project design in translational oncology (EN) The theme of the course is the role of inflammation in cancer. It focuses on the regulation and multifaceted functions of tumor-associated inflammatory cells, and how they promote or oppose cancer. Entrepreneurship in life sciences (EN) Based on real-world examples, hypothetical or own inventions, students are provided with a skill set for translating scientific innovation into a convincing investor pitch (including a comprehensive slide deck on all relevant aspects) and applications for funding of a startup project New tools & research strategies in personalized health (EN) This course introduces the concept of personalized health, exploring its foundational technologies as well as the technological, legal, and ethical challenges the field currently faces. Strategies and approaches used to address these challenges will also be discussed. Scientific project design in integrative neurosciences (EN) In this course, students will investigate causal neuronal network mechanisms underlying sensory-guided decision-making in mice. Students will analyse published data to develop integrative neuroscience research projects including the design of new experiments to test specific falsifiable predictions. Concept to early-stage drug and medTech products (EN) This course explores how innovative drugs and medical devices reach the market, with biotech and medtech experts sharing real-world insights through interactive sessions.
Because these sessions rely on direct interaction with invited industry leaders, in-person attendance is mandatory. Entrepreneurship in food & nutrition science (EN) Students will learn how nutrition science & food technology is applied to develop food products & diets to optimize health. Examples & case studies will cover novel food technologies, nutrition research on diet, macronutrients & bioactive ingredients, and regulatory & safety requirements. Neural circuits of motivated behaviors (EN) Motivated behaviors fulfil the basic physiological needs of animals and enable their safety. In this course, you will learn about the neuronal circuits that sense and regulate internal states, detect dangers in the environment, and organize appropriate behavioral responses. Ethics for life sciences engineers (EN) The decisions that life science engineers make can have profound impacts on other people, on society, and on the environment. It is important, therefore, to be aware of the potential effects of decisions, and to have a set of ethical principles and analytical tools to make good ethical decisions. IGEM (EN) An interdisciplinary EPFL student team will design and build genetic circuits with novel functionalities. Students learn to develop a project and carry it out to completion in a concrete manner. Their creativity and critical thinking are highly encouraged. IGEM lab (EN) An interdisciplinary EPFL student team will design and build genetic circuits with novel functionalities. Students learn to develop a project and carry it out to completion in a concrete manner. Their creativity and critical thinking are highly encouraged. Digital epidemiology (EN) Epidemiology is foundational to medicine and public health. This course starts with the key principles of classical epidemiology, progressing through computational modeling techniques, and concluding with the digital approaches of today. Students will also develop a digital epidemiology prototype. Practical – Ablasser Lab (EN) Pattern recognition pathways in innate immunity.
The course aims to teach students about approaches to study mechanisms of innate immune recognition of pathogens. Practical – Barth Lab (EN) This course will convey the concepts and experimental techniques for studying the signal transduction mediated by receptors across biological membranes. Practical – Oricchio Lab (EN) Training in hemato-oncology.
Analysis and genetic manipulation of hematopoietic progenitor cells.
Morphological recognition of main hematopoietic lineages. Practical – Persat Lab (EN) The student will learn how to:
– perform high resolution microscopy of single bacterial cells
– perform a motility assay
– operate high resolution microscope
– analyze image data Practical – Stahlberg Lab (EN) Cryo-electron microscopy structural analysis of proteins. The course aims at demonstrating the workflow from sample purification to determining the atomic structure of a soluble or membrane protein. Practical – Schoonjans Lab (EN) Bile acid signaling. Investigate GPCR-mediated effects of bile acids on mitochondrial function and dynamics. Practical – Tang Lab (EN) In this course, the students will learn the basics skills in cancer immunotherapy and immunoengineering.
Open to 4 students. Practical – Brisken Lab (EN)
Breast development and cancer.
Learn about experimental approaches to study Breast Development and Breast Cancer. Practical – Constam Lab (EN) Primary cilia have emerged as an important organelle of cells to sense environmental cues that control embryogenesis and adult renal tubule and liver bile duct homoestasis. This course focuses on functional analysis of molecules implicated in signal transduction of fluid flow-sensing cilia. Practical – Antanasijevic Lab (EN) The students will learn:
1) how to handle viral protein antigens and antibody samples
2) how to assemble and purify immune complexes using liquid chromatography
3) how to image them on an electron microscope Practical – Karthaus Lab (EN) Students will learn
1) how organoids can be used in biomedical research
2) How to perform organoid culture
3) How to perform basic genetic manipulations Practical – Gönczy Lab (EN) Give students a feel for some of the approaches pursued to understand mechanisms underlying cell division processes, primarily in C. elegans embryos but also in other systems, including human cells in culture. Practical – Schuhmacher Lab (EN) It’s all about the lipids: We use a chemical biology approach to answer outstanding questions in membrane biology.
We show you how to use our lipid tools that allow you to manipulate lipid concentrations and visualize them in cells. Practical – Goemans Lab (EN) The students will get practical experience in
(i) how to cultivate diverse bacteria
(ii) how to treat them with antibiotics or
(iii) with bacteriophages that they will isolate themselves from the environment. Practical – Thomä Lab (EN) Expression and purification of recombinant proteins are key methods in our lab studying protein machines on a structural level and ways in which they can be reprogrammed by small molecules. In the course, we will express and purify proteins and biophysically characterise them. Practical – Zenk Lab (EN) You will learn to prepare single nuclei suspensions from organoid and use them to generate chromatin accessibility (ATAC) or CUT&Tag sequencing libraries to probe the epigenetic landscape during development.
You will also learn how to perform basic analysis and compare
between samples. Practical – Gallini Lab (EN) This course explores how stem cell fate and behaviors are regulated in the skin epithelium during homeostasis, injury, and tumorigenesis. Students gain knowledge of skin biology and experience with ex vivo approaches to study cell behaviors required to maintain or restore barrier function. Practical – Radtke Lab (EN) Self renewing organs.
Flow Cytometry as tools for the analysis of the hematopoietic system. Practical – Merten Lab (EN) Learn how to design & perform microfluidic droplet experiments for single-cell encapsulation. Through hands-on work, gain experience with chip operation, droplet generation & fluorescent signal acquisition. Introduction to single-cell genomics workflows & their integration with microfluidic technol. Practical – Waszak Lab (EN) Introduction to imaging-based single-cell genomics and computational methods for single-cell image analysis. Building Brain Resilience Synapsy Symposium (EN) This symposium brings together leading experts in the fields of resilience to life stressors and resilience to cognitive decline. Topics will include allostasis, plasticity and adaptation across body systems, as well as cognitive reserve, brain maintenance and mechanisms related to dementia risk. Practical – Lemaitre Lab (EN) Drosophila immunity.
Give students a feel for some of the approaches pursued to understand mechanisms underlying cell division innate immunity in Drosophila. Practical – D’Angelo Lab (EN) Cells produce thousands of lipids that impact biological processes in ways we are only starting to characterize. In this course we will introduce MALDI imaging mass spectrometry to study lipid composition in a space resolved fashion. Practical – Van der Goot Lab (EN) Membrane organization.
Investigate the compartmentalisation of biological membranes: what are the determinants of the localization of transmembrane proteins in the 2 dimensional space of the membranes? Integrative structural biology for Life sciences (EN) Hands-on course in Biomolecular Integrative Structural Biology by SV experts in the field of X-ray crystallography, cryo-Electron Microscopy, Bio-NMR and protein modeling tools. No previous knowledge in Structural Biology or Bioinformatics is required. Research Data Management in Life Sciences (EN) Introduction to Research Data Management in Life Sciences, covering data organization, documentation, workflows, publication, FAIR principles, tools, and best practices. Includes hands-on activities to improve and optimize participants’ own data management workflows (used for evaluation) Sustainable lab practices for life sciences (EN) This course equips researchers to assess and reduce the environmental impact of laboratory research. Through lectures, workshops, and project work, participants learn to measure their lab’s carbon footprint, apply sustainability frameworks, and lead metric-driven sustainability initiatives. Advanced Microscopy for Life Science (EN) For further information, please get in contact with the instructor or have a look on the following web-site: http://biop.epfl.ch/ Responsible Conduct in Biomedical Research (Fall) (EN) Responsible Conduct in Biomedical Research Responsible Conduct in Biomedical Research (Spring) (EN) Responsible Conduct in Biomedical Research Practical – Blokesch Lab (EN) How to look at tiny things: visualizing bacteria using epifluorescence microscopy. Practical – Huelsken Lab (EDMS) (EN) Assessment of signaling mechanisms in cancer.
The objectives of the course are:
– to understand the importance of signaling and cell-cell interactions in cancer stroma interactions
– to learn techniques involved in assessing the function of such interactions in vitro and in vivo. Practical – Suter Lab (EN) Bioluminescence imaging and data analysis Splinkerette PCR (to analyze genomic insertion site of a transgene).
The students will obtain theoretical and practical insight into embryonic stem cell biology and the study of gene expression fluctuations in single cells.
Practical – De Palma Lab (EN) Cell heterogeneity in the tumor microenvironment. Scientific writing for biomedical articles (Fall) (EN) The course is highly recommended for its excellent quality. Researchers will be apt to write a clear, well-structured article. We aim to make researchers aware of good writing and help them to face their writing with confidence. Scientific writing for biomedical articles (Spring) (EN) Researchers will be apt to write a clear, well-structured article. The aim is to make researchers aware of good writing and help them grow confidence in getting feedback and improve their text. Engineering of musculoskeletal system and rehabilitation (EN) This course presents today research questions and methods associated to the musculoskeletal system, its pathologies, and treatment. Bioinformatic Analysis of RNA-sequencing (Fall) (FR) Bioinformatic Analysis of RNA-sequencing (Spring) (EN) This course will take place at EPFL in June 2026, from 8th to 12th, in room AAC 137.
It introduces the workflows and techniques that are used for the analysis of bulk and single-cell RNA-seq data. It empowers students to understand and analyze their own data. Image Processing for Life Science (EN) Registration details will be announced via email. It takes place yearly from Sept./October to December & intends to teach image processing with a strong emphasis of applications in life sciences. The idea is to enable the participants to solve image-processing questions via workflows independently. Training Rotation (EDNE) (EN) Training Rotation on the EPFL Campus during the 1st year of a PhD. 1,2 or 3 months are possible. Training Rotation (EDNE) (EN) Training Rotation on the EPFL Campus during the 1st year of a PhD. 1,2 or 3 months are possible. Recombinant protein expression in animal cells for appli-cations in medicine and structural biology (EN) Cultivated animal cells are important hosts for the production of recombinant proteins for biochemical and structural studies and for use as therapeutics. The course will provide an overview of the methods for the production and characterization of recombinant proteins. From data to paper: science communication to peers (EN) Participants will learn how to transform their data into clear scientific output for peers. Across three half-day sessions, they will work in an interactive setting on the main steps linking data, figures, paper structure and poster presentation. Mechanisms of cell motility (EN) Mechanisms of cell motility General Biology (FR) The purpose of the course is to provide a general overview of the biology of cells and organisms. We will discuss this in the context of cell and organ life, focusing on the regulatory principles you will encounter in your biology studies. Biological data science I: statistical learning (EN) Processing, analyzing, and interpreting large biological datasets is an essential skill for modern biologists. This course aims to provide the theoretical foundations, analytical techniques, and software tools necessary to effectively manage and derive insights from biological data. Neuroscience foundations for engineers (EN) This overview course bridges computational expertise with neuroscience fundamentals, aimed at fostering
interdisciplinary communication and collaboration for engineering-based neuroscience programs. Fluid mechanics (for SV) (EN) This introductory course on fluids mechanics presents the basics concepts in fluids statics, dynamics and kinematics. From light to life: optics and imaging in biology (EN) This course introduces the principles of optics underlying modern biological imaging. Students learn how light interacts with matter, how optical systems form images, and how advanced fluorescence and super-resolution microscopy enable discoveries in biology and molecular medicine. Synthetic biology (EN) This advanced Bachelor/Master level course will cover fundamentals and approaches at the interface of biology, chemistry, engineering and computer science for diverse fields of synthetic biology. This class requires critical and analytical thinking at the frontiers of multiple disciplines Immunoengineering (EN) Immunoengineering is an emerging field where engineering principles are grounded in immunology. This course provides students a broad overview of how engineering approaches can be utilized to study immunology, model immune systems, modulate immune response, and develop novel immunotherapies. Single cell biology (EN) The students are exposed to experimental and analytical approaches specific to single cell biology, with an emphasis on quantitative aspects. Basics in bioinstrumentation (EN) This combined practical and theoretical course will provide the basics in bioinstrumentation, including the construction of a droplet-microfluidic workstation for high-throughput, single-cell analysis. Many of the learned concepts are equally applicable to other widely used lab instruments. Selected topics in life sciences (EN) This course explores advances at the intersection of biology, biotech, engineering, and medicine. Through lectures, projects, and expert talks, students examine research transforming healthcare, tackling global health issues, and raising ethical and societal questions. Biomedical optics (EN) This course addresses the principles governing the interactions between light and biological tissue, their optical properties and basic concepts of radiometry. Illustrative diagnostic and therapeutic applications of light in medicine and photobiology will also be described. Scientific literature analysis in neurobiology (EN) The goal of this course is to learn to analyze a scientific paper critically, question if the data support the conclusions, and produce constructive referee reports in written or oral form. The papers considered will give an overview of the field of developmental neurobiology. Next-generation biomaterials (EN) “Next-Generation Biomaterials” explores the latest advancements in the development and application of cutting-edge biomaterials for medical and healthcare innovation. Methods: from disease models to therapy (EN) This course will describe methods underlying translational approaches from disease modeling and characterization to therapeutic applications. The presented techniques will be complemented by hands-on rotations in the technological platforms of the School of Life Sciences. Methods: omics in biomedical research (EN) High-throughput methodologies broadly called Omics allow to characterize the complexity and dynamics of any biological system. This course will provide a general description of different methods related to the Omics field followed by hands-on rotations in participating technological platforms. Monthly IBI-EDBB Mini-symposia (EN) To expose EDBB students to research in Bioengineering through attendance of lecture series given by EDBB students and external speakers. The objectives are to broaden the knowledge of students in the field of Bioengineering and expose them to the diversity of studies in the IBI community. Let’s experiment (EN) Before you step into the lab to do an experiment, you have a long list of questions: How do I design an experiment that will give a clear answer to my question? What model system should I use? What are my controls? What’s an ideal sample size? How can I tell if the experiment worked? Sharing your research (EN) Giving a research talk (say, at a conference, to your department or in your research group meeting) is a really important part of a scientist’s career. This course is designed for anyone who will be giving research-based scientific talks in the future. Writing for science (EN) The goal of the course is to develop effective writing skills for academic and professional contexts. Planning your scientific journey (EDBB) (EN) Planning Your Scientific Journey: Being successful as a scientist requires more than acquiring knowledge and developing experimental skills. It also requires: (1) asking a good scientific question, (2) establishing a clear plan of action, and (3) seeking advice along the way. EDCB seminar series (EN) The EDCB seminar series provides EDCB students the opportunity to share their research and learn from their peers. Students can freely exchange, present data, ideas and get useful feedback on ongoing research and improve communication skills. BioEngineering Student Seminar Series (EN) To expose EDBB students to research in Bioengineering through attendance of lecture series given by EDBB students and external speakers. The objectives are to broaden the knowledge of students in the field of Bioengineering and expose them to the diversity of studies in the IBI community. General chemistry for SV (EN) This course covers essential notions in general chemistry, relative to matter and its structure, equilibriums and chemical reactions, for life science students. The lectures and exercise sessions provide the knowledge and methodology required to solve general chemistry exercises. Chemistry Laboratory Work I (FR) The student will learn how to work in a chemistry laboratory. He/she will acquire a quantitative and/or qualitative approach. TP carried out are in relation to the courses of chemistry and will be followed by a second part “TP2”. Chemistry Laboratory Work II (FR) Introduction to basic manipulations in general, inorganic and analytical chemistry.
Introduction to classical quantitative analysis. Learn to carry out quantitative analysis.
General principles of the classical quantitative analysis.
Advanced general chemistry I (FR) This course comprises of two parts. The bases of the thermodynamics of equilibria and of the kinetics of reactions are introduced. The first notions of quantum chemistry on electrons and bonds, exemplified in organic chemistry, are presented in the second part. Advanced general chemistry II (FR) Fundamental knowledge on the reactivity of organic compounds and their identification by mass spectrometry, IR spectroscopy and nuclear magnetic resonance. Advanced general chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. Advanced general chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. General chemistry (FR) This course aims at the acquisition of essential notions on the structure of matter, chemical equilibria and reactivity. Theoretical teaching and exercise provide the methodology to analyze and solve by reasoning and calculation novel problems of general chemistry. Practical programming in Chemistry (EN) This course offers a comprehensive, practical introduction to computer programming tailored for chemists and chemical engineers. Python is the main language used throughout the course. Biochemistry (FR) Basic concepts in biochemistry as well as biochemical components of organisms such as proteins, DNA, carbohydrates and lipids are discussed. Preparative chemistry I (FR) Apply basic reactivity in organic chemistry to the multi-step synthesis of polyfunctional molecules. Instruction on safety regulation in laboratories of chemical synthesis. Instruction on the planification and monitoring of simple synthetic pathways. Chemistry of elements s and p (EN) Introduction to the chemistry of the s & p elements of the periodic table. Coordination chemistry (EN) Fundamental knowledge of coordination compounds. Organometallic chemistry (EN) Basic organometallic chemistry will be covered in this course.
1. Structure and bonding in organometallic compounds.
2. reactivity of organometallic compounds, stoichiometric reactions, catalyzed reactions and reaction mechanisms. Organic chemistry laboratory Work (FR) Purification methods (distillation, crystallization, chromatography), simple organic syntheses: bromination, reduction, acylation, imine, nitration, Grignard, Reformatsky)
Acquisition of knowledge on the chemical hazards and how to protect ourself. Knowledge of legal commitments. Organic functions and reactions I (FR) The course will focus on the reactivity of carbonyl compounds: their structure, reactivity and transformations; the reaction of enols/enolates. The understanding of reaction mechanisms, chemo-, regio- and stereo-selectivities will be emphasized. Organic functions and reactions II (EN) To develop basic understanding of the reactivity of aromatic and heteroaromatic compounds. To develop a knowledge of a class of pericyclic reactions. To apply them in the context of the synthesis. Statistical mechanics for chemistry (FR) This course builds the universal theoretical basis for the understanding of many particle systems. The introduced methods are used to illuminate various phenomena across chemistry. Electrochemistry of solutions (FR) Students integrate the concepts of electric potentials, the Fermi level of the electron and apply the Nernst equation. They understand the structure of an electrified interface. Electrochemical generators, electrolysis and the basics of amperometry are presented. Quantum chemistry (EN) Introduction to Quantum Mechanics with examples related to chemistry Mathematical methods in chemistry (EN) This course consists of two parts. The first part covers basic concepts of molecular symmetry and the application of group theory to describe it. The second part introduces Laplace transforms and Fourier series and their use for solving ordinary and partial differential equations in chemistry & c.e. Analytical separation methods (FR) Students understand the physico-chemical principles of chromatographic and electrophoretic separation methods Experimental analytical chemistry (FR) This laboratory work aims to illustrate the analytical separation methods course as well as to accustom the students with the qualitative and quantitative aspects of analytical chemistry.
The number of proposed experiments depend on the number of incoming students. Dynamics and kinetics (EN) The course covers the principles of chemical kinetics, including differential rate laws, derivation of exact and approximate integral rate laws for common elementary and composite reactions, fundamentals of collision and transition state theories, and applications such as enzymatic catalysis. Macromolecular structure and interactions (EN) This course covers the basic biophysical principles governing the thermodynamic and kinetic properties of biomacromolecules involved in chemical processes of life.
The course is held in English. Dynamics of biomolecular processes (EN) In this course we will discuss advanced biophysical topics, building on the framework established in the course “Macromolecular structure and interactions”. The course is held in English. Chemical biology (EN) Chemical Biology is an interdisciplinary field using chemical principles and techniques to analyse and manipulate biological systems. It relies on small-molecule chemicals to gain an in-depth understanding of biology, and provides new tools and products ranging from basic research to therapeutics. Structural analysis (EN) The aim of this course is to treat three of the major techniques for structural characterization of molecules used in chemistry and chemical engineering: mass spectrometry, NMR, and X-ray techniques. Modeling lab (EN) In this course we give a hands-on introduction on the use of modeling and data in chemistry. After an introduction in the different tools used by computational chemists, we discuss three topics in more detail molecular simulation of adsorption, data in chemistry, and machine learning. Drug discovery and development (EN) This course discusses the molecular basis of diseases and how drugs work. Concepts and processes employed in today’s drug discovery and development are covered. The first part of the course focuses on small molecule drugs and the second one on biotherapeutics. Experimental biochemistry and biophysics (EN) A seven-week laboratory course (4 h+8 h per week) in which students construct, modify and screen microbial sensor strains from defined DNA parts. Proteins are heterologously expressed and purified, then characterized biochemically and spectroscopically. Final reporting in scientific article format. Preparative chemistry II (FR) Advanced chemistry laboratory
Admission to the TP is conditional on the successful completion of 2 of the 3 courses: CH-222 Coordination chemistry, CH-223 Organometallic chemistry, CH-233 Fonctions et réactions organiques Medicinal chemistry (EN) This course introduces medicinal chemistry: how small molecules are designed and optimised to become medicines, covering principles of molecular recognition, pharmacokinetics, and drug design alongside selected therapeutic examples and emerging modalities. Asymmetric synthesis and retrosynthesis (EN) The first part of the course presents the classical methods of asymmetric synthesis. The second part of the course introduces retrosynthesis strategies based on the disconnection approach. Methods in spectroscopy and dynamics (EN) We will review modern technique for the determination of structure and dynamics in chemistry.
Recent developments in spectroscopy as well as methods that target the fundamentals of chemical reactions will be discussed, and applications will be studied. Spectroscopy (EN) Introduction into optical spectroscopy of molecules Experimental physical chemistry (EN) Experiments related to physical chemistry courses. Molecular dynamics and Monte-Carlo simulation (EN) Introduction to molecular dynamics and Monte-Carlo simulation methods. Introduction to cheminformatics (FR) Introduction to the management of chemical information and the main tools used. Introduction to electronic structure methods (EN) Repetition of the basic concepts of quantum mechanics and main numerical algorithms used for practical implementions. Basic principles of electronic structure methods:Hartree-Fock, many body perturbation theory, configuration interaction, coupled-cluster theory, density functional theory. Project of Computational chemistry (FR) This course exploits modern computational tools in a research project aiming at resolving a chemistry problem by group of two students. Automated and data-driven laboratories (EN) In this course, taught by experts from the Swiss CAT+ West Hub, students will be introduced to key concepts in automation and data-driven chemistry. Using real-world cases, students will learn the theoretical skills and practical tools needed to automate a laboratory.
Advanced nuclear magnetic resonance (EN) Principles of Magnetic Resonance Imaging (MRI) and applications to medical imaging. Principles of modern multi-dimensional NMR in liquids and solids. Structure determination of proteins & materials. Measurement of molecular dynamics. Principles of Hyperpolarization Sustainable chemistry and engineering in Industry (EN) In the course given by experts from the Swiss Chemical industry, the students will be introduced in key concepts of sustainable chemistry and chemical engineering of industrial relevance. They will be able to learn from real hands-on problems and to better understand the challenges faced in industry Physical and chemical analyses of materials (EN) This course will cover the fundamentals and practical aspects of advanced material characterization methods, with a focus on inorganic materials. Students will become familiar with spectroscopy and electron microscopy techniques. Nanobiotechnology (EN) This course concerns modern bioanalytical techniques to investigate biomolecules both in vitro and in vivo, including recent methods to image, track and manipulate single molecules. We cover the basic principles of the respective methods and discuss examples from the current scientific literature. Optical methods in chemistry (EN) Introduction and application of photon based tools for chemical sciences: from basic concepts to optical and x-ray lasers
Protein mass spectrometry and proteomics (EN) In systems biology, proteomics represents an essential pillar. The understanding of protein function and regulation provides key information to decipher the complexity of living systems. Proteomic technology now enables deep quantitative proteome mapping via mass spectrometry. Understanding advanced molecular simulation (EN) This course introduces advanced molecular simulation techniques such as Monte Carlo and Molecular dynamics in different ensembles, free energy calculations, rare events, Configurational-bias Monte Carlo etc. Catalysis for energy storage (EN) This course covers the fundamental and applied aspects of electrocatalysis related to renewable energy conversion and storage. The focus is on catalysis for hydrogen evolution, oxygen evolution, and CO2 reduction reactions. Both homogeneous and heterogeneous catalysts are discussed. Catalyst design for synthesis (EN) This course on homogeneous catalysis provide a detailed understanding of how these catalysts work at a mechanistic level and give examples of catalyst design for important reactions (hydrogenation, olefin metathesis, cross-coupling). Supramolecular chemistry (EN) The course provides an introduction to supramolecular chemistry. In addition, current trends are discussed using recent publications in this area. Energy conversion by semiconductor devices (EN) This course aims to present an introduction to the fundamentals of semiconductor physics, photophysics,photoelectrochemistry,and the practical applications. Physical and computational organic chemistry (EN) This course introduces modern computational electronic structure methods and their broad applications to organic chemistry. It also discusses physical organic concepts to illustrate the stability of organic molecules. Brief exposures to data-driven computational chemistry are also proposed. Structure and reactivity (EN) To develop a detailed knowledge of the key steps of advanced modern organic synthesis going beyond classical chemistry of olefins and carbonyls. Asymmetric catalysis for fine chemicals synthesis (EN) The asymmetric synthesis of fine chemicals is a research topic of growing importance for the synthesis of modern materials, drugs and agrochemicals. In this lecture, the concepts of asymmetric catalysis for fine chemical synthesis are introduced. Total synthesis of natural products (EN) Complex polycyclic natural products are chosen to illustrate the evolution of the state-of-the-art of the field, the interplay between strategy and new reactions as well as the importance of implementing multi-bond forming processes in a synthesis. Photochemistry (EN) This course covers the theoretical bases of electronic spectroscopy and molecular photophysics. The principles of the reactivity of excited states of molecules and solids under irradiation are detailed. Finally, the main classes of industrial and natural photo-chemical processes are described. Solid state chemistry and energy applications (EN) You will learn about the bonding and structure of several important families of solid state materials. You will gain insight into common synthetic and characterization methods and learn about the applicability of several classes of materials in energy relevant applications. Computational methods in molecular quantum mechanics (EN) This course will discuss the main methods for the simulation of quantum time dependent properties for molecular systems. Basic notions of density functional theory will be covered. An introduction to simulating nuclear quantum effects for adiabatic and non adiabatic dynamics will be provided. Molecular quantum dynamics (EN) The course covers several exact, approximate, and numerical methods to solve the time-dependent molecular Schrödinger equation, and applications including calculations of molecular electronic spectra. More advanced topics include introduction to the semiclassical methods and Feynman path integral. Methods in drug development (EN) The course discusses methods in modern drug development. Each week, a short introduction to a drug development method / field is provided and a recent research paper is discussed in depth. Students particiate in presenting and discussing the research publications. AI for chemistry (EN) The AI for Chemistry course will focus on teaching students how to use machine learning algorithms and techniques to analyze and make predictions about chemical data. The course will cover topics such as the basics of machine learning, common algorithms and their applications in chemistry. Nanofluidics (EN) This course introduces the modern theoretical tools that underpin the understanding of solid-liquid interfaces and fluid flows through nanometer-scale openings. Sustainable chemicals manufacture: concepts/tools (EN) This course introduces the foundational concepts and tools of Safe and Sustainable by Design (SSbD), a forward-looking framework for the development of future chemicals and materials. It also offers insights into relevant regulatory and industry frameworks at the Swiss, EU, and global levels. Basic and advanced NMR – Level 1 A (EPFL) (EN) Basic theoretical and experimental aspects of NMR will be taught. Students will be familarized with modern NMR spectrometers. Basic and advanced NMR – Level 1 B (Sion) (EN) Basic theoretical and experimental aspects of NMR.
Students will be familarized with modern NMR spectrometers. Basic principles of drug action at the cardiovascular system (EN) The aim of this course is two-fold:
– to describe the molecular properties of some important drug targets
– to illustrate some applications of drugs active at the nervous and cardiovascular systems. Basic principles of drug action at the nervous system (EN) The aim of this course is two-fold:
i) to describe the molecular properties of some important drug targets
ii) to illustrate some applications of drugs active at the nervous system Medicinal chemistry: concepts and case studies from the pharmaceutical industry (EN) We will cover key concepts of Medicinal Chemistry, from identification of active chemical starting points to how they are optimized to deliver drug candidates. We will use real case studies from the pharmaceutical industry. Students will design compounds to solve Medicinal Chemistry problems. Inorganic chemistry “Fundamentals and properties” (EN) To present and discuss important recent contributions in the field of inorganic chemistry with an emphasis on fundamental aspects and properties.Literature seminars based on selected publications,emanating from the last 12 months, preceded by introduction and followed by a group discussion. Inorganic chemistry “Techniques and methods” (EN) To present and discuss important recent contributions in the field of inorganic chemistry incorporating techniques and methods. Student literature seminars based on selected publications,emanating from the last 12 months. Seminar preceded by introduction to the topic followed by group discussion. Efficient Synthetic Routes Towards Bioactive Molecules (EN) Natural Products, Disconnection approach, Synthetic efficiency Synergism between Art of Total Synthesis and High Level Strategic Design (MOM) (EN) Retro-synthessis, Total Synthesis, Atom-economy Chemosensory receptors: Applications for biosensors and medical therapies (EN) The course aims at providing insight into the cellular and molecular basis of smell and taste with specific emphasis on how molecules are detected by these chemosensory systems. Frontiers in Sustainable Chemical Synthesis (EN) The students will become familiar with the most recent progress in sustainable synthetic chemistry, covering a broad rang of topics such as catalysis, heterocyclic chemistry, stereoselective synthesis and new synthetic tools. Drug Discovery (EN) The course gives an overview of drug discovery. Computational methods in drug design and discovery, including methods for free energy and residence time, drug-target interactions, pharmacodynamics, pharmacokinetics, and drug delivery,biophysical methods, interaction including ITC, SPR, MST, and NMR. Principles and Applications of X-ray Diffraction (EN) Basic theoretical aspects of Crystallography and the interaction between X-ray radiation and matter. Experimental aspects of materials-oriented powder and single crystal diffraction. Familiarization with modern X-ray diffractometers. Advanced Solid State and Surface Characterization (EN) State-of-the-art surface/thin film characterization methods of polycrystalline/nano/amorphous materials. Selected topics from X-ray scattering (SAXS/GISAXS, PDF, GIWAXS, HRXRD), electronic and optical spectroscopy (XPS, AES, SERS, TERS), scanning probe and electron microscopy (STM, AFM, HRTEM, SEM). Chemical Probes for Imaging in Biology (EN) The goal of this course is to provide an overview on recent developments in the design and synthesis of fluorescent and bioluminescent probes for applications in basic research and medicine. Through the discussion of recently published advances, general design principles will be reviewed and criteri Chemical Biology Seminar Series 1 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers Chemical Biology Seminar Series 2 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers. Chemical Biology Seminar Series 3 (EN) PhD students can broaden their horizon in the field of chemical biology by listening to 8 to 14 talks by speakers who talk about their recent research. The PhD students get the opportunity to also personally meet the speakers. Modern Organic chemistry-Highlights in the field (EN) Total synthesis, Natural product, Green chemistry, nantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Modern Organic chemistry-Trends in the field (EN) Total synthesis, Natural product, Green chemistry,Enantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Modern Organic chemistry-Success stories (EN) Total synthesis, Natural product, Green chemistry, nantioselective synthesis, Organo-catalysis, Lewis acid,Transition-metal, Drug
discovery. Physical Chemistry Seminar 1: Trends (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Physical Chemistry Seminar 2: Highlights (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Physical Chemistry Seminar 3: Frontiers (EN) Students can learn about the broader research in Phyiscal Chemistry and broaden their horizon beyond their own field by listening to 14 talks by speakers presenting their recent research. The students get the opportunity to also personally meet the speakers and discuss research topics. Basic and advanced NMR – Level 2 (EPFL) (EN) The goal is to give a sound theoretical and practical foundation in NMR for various applications in research. PhD students and post-docs who have followed the course successfully should be able to perform modern multi-dimensional NMR experiments independently. Inorganic chemistry “Applications and spin-offs” (EN) Present and discuss important recent contributions in the field of inorganic chemistry. This will be achieved by student literature seminars based on selected publications,emanating from the last 12 months. Seminar preceded by an introduction to the topic and followed by a group discussion. Mass spectrometry, principles and applications (EN) The goal is to provide students with a complete overview of the principles and key applications of modern mass spectrometry and meet the current practical demand of EPFL researchers to improve structural analsis of molecules. Numerous instrumental aspects of mass spectrometry are described. Introduction to chemical engineering (EN) Introduction to Chemical Engineering is an introductory course that provides a basic overview of the chemical engineering field. It addresses the formulation and solution of material and energy balances by using the physical/chemical properties of materials. Introduction to chemical engineering Laboratory Works (FR) This course aims to expose the students to basic and modern processes/systems important to chemical engineers. Students perform experiments in groups, analyze results and use these to design industrial scale processes. Written and oral reports and laboratory performance are used for the final mark Introduction to transport phenomena (EN) This course aims at understanding the basic equations behind macroscopic and microscopic transport phenomena (mass, heat and momentum). Energy systems engineering (EN) This course will provide a toolkit to students to understand and analyze sustainable energy systems. In addition, the main sustainable energy technologies will be introduced and their governing principles explained. Chemical engineering practice (FR) This course provides the students with practical experience with simple “unit operations” based on heat and mass transfer . The students develop the ability to scale-up laboratory results into the design of industrial-size components. Fundamentals of separation processes (EN) The course will cover fundamentals concepts of separation processes involving chemical equilibrium and mass transfer. Students will design separation processes widely used in the industry, for the separation of liquid mixtures, gas-liquid mixtures, and gas mixtures. Biochemical engineering (EN) This course introduces the basic principles of bioprocess engineering and highlights the similarities and differences with chemical engineering. Without going into the fundamentals, it proposes an overview of the techniques for fermentation as well as product purification (DownStream Processing) Numerical methods (EN) This course introduces students to modern computational and mathematical techniques for solving problems in chemistry and chemical engineering. The use of introduced numerical methods will be demonstrated using the Python programming language. Bioreactor modeling and simulation (EN) The course of Bioreactor modeling and simulation focuses on the principles of algorithmic design and analysis of
biochemical reactors. The application of these designed reactors would be in the production line of the of
pharmaceutical, biotech and chemical industries. Fluid mechanics and transport phenomena (EN) The concept of Shell balances, the Navier-Stokes equations and generalized differential balances equations for heat and mass transport are derived. These relations are applied to model systems. Integral balances are introduced in the context of boundary layers and transfer coefficients. The engineering of chemical reactions (FR) This course applies concepts from chemical kinetics and mass and energy balances to address chemical reaction engineering problems, with a focus on industrial applications. Students develop the ability to analyze and design chemical reactors of industrial importance.
Diffusion and mass transfer (EN) This course aims to provide an in-depth understanding of diffusion and mass transfer, an essential tool for the
chemical engineers. Heterogeneous reaction engineering (EN) The theoretical background and practical aspects of heterogeneous reactions including the basic knowledge of heterogeneous catalysis are introduced. The fundamentals are given to allow the design of multiphase chemical reactors.
Chemical engineering lab & project (EN) Familiarization with practical aspects encountered in chemical reaction engineering.
A research project is carried out along twelve weeks where a close interaction is required between the different groups.
Catalysis for emission control and energy processes (EN) The course is an introduction to heterogeneous catalysis for environmental protection and energy production. It focuses on catalytic exhaust gas cleaning as well as gaseous and liquid fuel production. The course content is intensified in experimental exercises in the lecturer’s laboratories. Principles and applications of systems biology (EN) The course introduces and develops the key concepts from systems biology and systems engineering in the context of complex biological networks. The lectures elaborate on techniques and methods to model and analyze complex biological problems. Chemical engineering product design (EN) Chemical product design has become more important because of major changes in the chemical industry. This course presents the basic method for chemical product design and gives direct practice to this procedure via a design project. Nanomaterials for chemical engineering application (EN) This course provides an overview on nanoparticle synthesis and their use in different energy-related applications. The first part of the course is more fundamental and chemistry oriented. The second part is more applied and chemical engineering oriented. The goal is to link the two aspects. Modern methods in polymer chemistry and sustainability (EN) This course provides an overview of modern developments in polymer chemistry, building on fundamental concepts introduced in MSE-437. Emphasis is placed on recycling and upcycling strategies for the polymer classes discussed. Biotechnology lab (for CGC) (EN) This laboratory-training course is designed to give students a comprehensive insight into laboratory research techniques in the field of biotechnology and pharmaceutical biotechnology with practices employed in the industry. Accompanying lectures provide the theoretical background.
Pharmaceutical biotechnology (EN) The course focuses on the development and application of biotechnology-based approaches to human diseases. It provides current information on the engineering and pharmaceutical production of highly specific therapeutic proteins, vaccines, and other important biologicals at an industrial scale. Bioprocesses and downstream processing (EN) This course aims at a more advanced coverage of the basic aspects discussed in module ChE-311. It is however of a stand-alone nature, and even students who have little knowledge on – but a keen interest in – (bio)process engineering shall benefit as well from this module. Process development (EN) Through a project, this course will introduce the critical steps in developing a chemical process in the context of industry decarbonisation, from the lab to industrial scale. Hands-on with Research Data Management in Chemistry (EN) PhD students in Chemistry will learn hands-on Research Data Management (RDM) skills transferable to their research practices. They will
contextualize their research into RDM best practices (day 1), discover appropriate tools (day 2) and work on a project (day 3) for the course
accreditation Automated analytical and synthetic chemistry 1 (EN) The course gives a general understanding of lab automation theory and practical knowledge. It is structured to integrate theoretical foundations, hands-on practical exercises (e.g., Arduino programming), and individualized project analysis. AI in chemistry and beyond:Highlights in the field (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based
algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential
of these methods and their applications AI in chemistry and beyond: Trends in the field (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential of these methods and their applications. AI in chemistry and beyond: Success stories (EN) Should have expertise in chemistry, physics or lite and material sciences. Although a very good knowledge in Al-based algorithms is required to fully understand the technical details, a basic knowledge is sufficient to understand the potential
of these methods and their applications. Highlights energy research and chemical engineering 1 (EN) Synthesis and design of materials for sustainable energ.This seminar series will invite leading researchers from academia, industry, or government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the performance metrics of material. Highlights energy research and chemical engineering 2 (EN) Synthesis and design of materials for sustainable energy.This seminar series will invite leading researchers from academia, industry, or
government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the
performance metrics of material Highlights energy research and chemical engineering 3 (EN) Synthesis and design of materials for sustainable energ.This seminar series will invite leading researchers from academia, industry, or government agencies to give insightful talks on state-of-the-art characterization techniques that are used to better understand the performance metrics of material. Electron & energy transfer in organic & hybrid systems (EN) Electron and energy transfer processes are vital to biological functions. In synthetic molecular and hybrid systems, they are key to device efficiency. Advances in understanding and control of these processes continue to drive innovation across scientific and technological fields. Statics (for GC) (FR) The aim of this course is to develop an understanding of static models of structures. It presents the study of the interplay of forces in isostatic constructions made up of bars, beams and cables. Programming and software development for engineers (EN) Python programming course to advance students’ existing programming skills and help write better software. The course will teach best practices and techniques such as refactoring, debugging, and unit testing. Introduction to structures (FR) This course presents the fundamental principles of structural behaviour: transmissioon of loads and forces through structural systemsâcables, arches, trusses, beams, and framesâand the concepts of equilibrium, stability, and siizing. Objective: understand link between forms, forces and materials Soil mechanics and flow through porous media (EN) The course introduces students to the fundamentals of the mechanics of soils and fluid-infiltrated
porous media. The first part is devoted to the constitutive behavior of soils in
dry conditions, while the second part accounts for the presence of pore water. Fluids mechanics (For GC) (FR) This course is an introduction to fluid mechanics. Physical properties of fluids and the conservation principles (mass and momentum) are presented. The second part of the course is devoted to applications to open-channel hydraulics and pipeline flows. Geology (FR) Civil engineers conduct their activities in constant interaction with the subsurface. The geology course provides students with the fundamental Geoscience knowledge necessary for well-integrated engineering within the context of our planet. Continuum mechanics (for GC) (FR) This fundamental class covers the notions of deformation and stress, as well as general conservation principles, equilibrium equations and constitutive laws. In the second part we will highlight applications in structural mechanics and introduce approximate methods. Introduction to machine learning for engineers (EN) Machine learning is a sub-field of Artificial Intelligence that allows computers to learn from data, identify patterns and make predictions. As a fundamental building block of the Computational Thinking education at EPFL, Civil students will learn ML with civil case studies (summary generated by ML) Design of steel structures (FR) This course deals with the fondamental and practical aspects of steel structures design. This includes the design of beams, columns, connections, frames, structural systems and stability problems. Structural mechanics (for GC) (EN) The course discusses the basic principles of structural mechanics, analyzing the performance of materials and structures against loading and focuses on the stress strain relationships and the effect of axial, bending, shear and torsional loadings on engineer structures. Structural Safety and Reliability (EN) The course introduces key concepts of structural safety and reliability, covering probability fundamentals, verification methods, structural actions, and time-dependent effects. Case studies link theoretical principles to reliable civil engineering design. Geotechnical engineering (FR) Students know the different types of geotechnical structure (foundation, retaining walls etc,) their design and construction techniques.
They are able to determine the different factors controlling the realisation of a geotechnical structure, and design these structures to satisfy the limit states. Numerical representation / BIM (FR) This course introduces the principles of the digital representation of structures in a BIM environment. It addresses the analysis, structuring, and use of the information contained in a digital building model. Rock mechanics (FR) The students understand the mechanical behaviour of rock materials, joints and rock masses, and are able to determine the factors conditioning civil engineering applications. They are able to use appropriate methods for carrying out analysis and design of tunnel excavation and support. Urban thermodynamics (EN) Urban neighborhoods are analyzed thermodynamically: heat exchange between buildings, vegetation, water, the ground, and people. Using CityTherm, the course’s own interactive web tool, students diagnose the Urban Heat Island effect, the role of urban form and materials, and mitigation strategies. Hydraulic Analysis and Design (EN) Water is vital for life but also a powerful natural force. Hydraulic engineering addresses the sustainable management of water for reliable supply, renewable energy, and protection from hazards. Introducing to the fundamentals of hydraulic analysis and the design of key hydraulic structures. Numerical modelling of solids and structures (FR) The numerical modeling of solids is presented with the finite element method. The purely analytical aspects are presented first, followed by the methods of interpolation, integration, and resolution of mechanical problems. Reinforced concrete structures (EN) This course introduces the student to the behaviour and design of reinforced concrete structures. The student will learn the principles of analysis of reinforced concrete and how to design common concrete elements including columns, beams, and slabs. Urban public transport systems (EN) An introduction to urban public transport systems. The lectures cover the planning, operation, and management problems of different types of public transport services, along with assignments strengthening the understanding of base models and the group project tackling real-world problems. Dimensioning of Timber structures (FR) This course will master the fundamental and practical aspects of the design of timber structures. It deals with beams, columns, assemblies, structural systems and stability problems. Data Science for infrastructure condition monitoring (EN) The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real data, feature engineering to developing suitable machine learning algorithms. Traffic engineering (EN) Introduce the major elements of transportation systems and traffic engineering: develop analytical and technical skills in applying the fundamentals of the transport field; understand the key concepts and physics of the transport phenomena;connect with real transportation problems and data analytics Introduction to transportation systems (EN) The course provides an introduction to the design and analysis of transportation systems for the mobility of people and goods. Construction contracts and liability (FR) This course provides future civil engineers at EPFL with the basic knowledge and skills in public law required to collaborate in the design and implementation of infrastructure and large-scale projects, particularly energy projects. Geomechanics (EN) The course covers engineering applications and challenges in geomechanics, including stress-strain behavior of geomaterials in variousconditions, triaxial testing,and constitutive frameworks for elasticity and plasticity.Practical insights are gained through workshops with geomechanics professionals Underground construction (EN) This course is addressed to students who want to deepen their knowledge of underground space and works, including planning, design and management, construction techniques and methods, risk assessment and environmental considerations. Energy and comfort in buildings (EN) The course presents the fundamentals of energy demand in buildings while emphasizing the need for the comfort and well-being of occupants. In addition, prioritizations and trade-offs between energy and comfort are discussed. Multiscale modelling in mechanics (EN) This course introduces the principles and techniques for modeling materials across
different spatial scales, from the level of atoms or grains to the continuum or structural
scale. Emphasis is placed on hierarchical upscaling (homogenization), while concurrent
techniques are also covered. Fluvial hydraulics and river engineering (EN) The course provides core principles of river engineering for planning and designing restoration and flood-protection measures, focusing on sediment transport, hydro-morphodynamics, flood hazard assessment, and common river-engineering structures. Dam engineering (EN) Dams are paramount for human development around the world. The course is an introduction to the fascinating domain of dam engineering, from design to construction, for water storage and regulated supply, including for renewable energy generation (hydropower), flood protection and drought prevention. Urban hydraulic systems (EN) Sustainable freshwater and urban drainage system are considered.
Fresh water: capture, reservoir and net.
Drainage: hydrology, sponge city, individual conduit and manhole hydraulics.
The integral rain water management and the legal frame are further key elements Design of precast concrete structures (EN) The course deals with the design of precast reinforced concrete structures, both for bridges and for buildings.
The course is focused in learning by projects supplemented by some lectures by the teachers.
The students will work in groups to design a precast structure. Future Urban Mobility Systems (EN) This course introduces future urban mobility systems from a data-driven perspective, covering mobility data ecosystems, sensing technologies, information extraction, traffic state and performance analysis, forecasting, control, active sensing, digital twins, and emerging smart-mobility applications. Computational geomechanics (EN) The goal of this course is to introduce the student to modern numerical methods for the solution of coupled & non-linear problems arising in geo-mechanics / geotechnical engineering. Innovation for construction and the environment (EN) The course delves into how innovation in construction, seen as an engineering process, progresses through steps and stages. It focuses on three main areas: (1) introducing new materials, (2) integrating digital systems, and (3) measuring sustainability and environmental impact. We’ll explore how Machine learning for predictive maintenance applications (EN) The course aims to develop machine learning algorithms capable of efficiently detecting faults in complex industrial and infrastructure assets, isolating their root causes, and ultimately predicting their remaining useful lifetime. Timber construction (EN) Help students understand and design innovative, architecturally and structurally interesting wood constructions. Deepen technical knowledge through the study of built examples. Risk analysis and management (FR) The course aims to train students in methods and tools allowing them to understand the issue of analysis and management of technological and natural risks in a well-founded and scientific manner, with attention paid to the field of Civil Engineering. Advanced composites in engineering structures (EN) 1.Introduce topics in properties, processing, mechanical behavior, characterization, analysis and structural design of Fiber Reinforced Composites
2.Help students develop their research skills through independent investigations on research topics Energy geostructures (EN) Energy geostructures are a technology that couples the structural role of foundations with the heating/cooling role of
geothermal heat exchangers. The goal of the course is to provide an understanding of the structural, geotechnical
and energy behaviour. Nonlinear analysis of structures (EN) This course deals with nonlinear modelling of structures under mechanical loading. Thermodynamics of comfort in buildings (EN) This course takes an experimental, human-centric approach to thermal comfort. Through laboratory measurements and thermodynamic analysis, students characterize the indoor thermal environment and its coupling with human thermoregulation, informing occupant-centered building design. Mobility engineering (FR) Analyze and diagnose a situation from the urban planning and mobility points of view. Define strategies for achieving these objectives. Development of the most promising concepts. Fundamentals of traffic operations and control (EN) The objectives of this course are to present the major elements of traffic operations and to develop basic skills in applying the fundamentals of traffic analysis and control. Students should be able to start applying these skills to model different aspects of congestion in urban systems. Indoor air quality and ventilation (EN) This course covers the fundamentals of indoor air quality and ventilation strategies for optimal building air quality. Through lectures, discussions, modeling software, a hands-on group project, students explore indoor air pollutants, their properties, emission sources, and control mechanisms. Design and construction of roadways (FR) This course provides students with a thorough understanding of the principles and fundamentals of transportation route design (road and rail infrastructure). It covers the fundamentals of project planning, geometry, traffic safety, materials used, construction techniques, and the sizing of structura Design and innovation (EN) The course offers the opportunity to gain practical experience in the characterization of fiber reinforced polymer and manufacturing/production methods for composite structures.
The material is presented by lectures and visits to the laboratory. This is mainly a project based – hands on course. Water resources engineering and management (EN) The course focuses on designing and managing water systems to ensure sustainable use for both human and environmental needs. Engineering aspects:water quantity, quality, timing, distribution. Management: economic evaluation of water systems in the context of global changes and financial constraints. Dynamics of structures (EN) Dynamics loads on structures, equations of motion of linear single- and multiple-degree-of freedom systems; free an forced vibrations; damping in structures: modal superposition and response history analysis, earthquake effects Hydropower schemes and pumped-storage (EN) The course deals with the conception and design of hydraulic structures used for production and/or storage of electric energy, including pumped hydro energy storage (PHES).
We also discuss their technical/social/economical/environmental feasibility in the Swiss/European/Global energy transition. Transportation network modeling & analysis (EN) This course introduces the classics and new advances in transportation network modeling and optimization. The course cover key concepts, behavioral principles, model formulations and solution approached used in traffic assignment and travel demand management. Design and assessment of concrete bridges (EN) The course focuses on the conceptual and detailed design of reinforced and prestressed concrete bridges. The first part covers the history and provides an introduction to bridge engineering. The second part covers the detailed design of the superstructure and substructure of bridges. Design of steel-concrete composite bridges (EN) Design and analysis of steel and steel-concrete composite bridges; Railway and Pedestrian bridges; arch bridges; Shear resistance and resistance against combined loads; Fatigue design; Stability of members; Composite and Long term effects; Corrosion protection; Weathering steels and coatings Sustainable bituminous materials (EN) The course covers materials and technologies for sustainable asphalt pavements, including asphalt design, recycling, as well as recent innovations like carbon-negative and low-temperature asphalt. Students gain skills to evaluate these solutions and oversee their implementation. Integrated Decision-Making for Buildings (EN) This course addresses low-carbon buildings as a problem of integrated decision-making. Through cases, debates, and decision exercises, students learn to justify decisions at the energy-material nexus, navigating trade-offs, uncertainty, and competing technical, economic, and societal objectives. Rock mass characterization for engineering design (EN) This course advances geomechanics knowledge, focusing on lab tests, in situ & geophysical investigations for interpreting geotechnical projects. Practical modules cover rock physics, mechanics, borehole & subsurface geophysics. Analysis of hyperstatic structures (EN) This course provides the foundation for understanding how hyperstatic structures deform and carry loads under a variety of loading conditions. Beyond analytical methods, it emphasizes the development of physical intuition of internal force distributions and verification on numerical results. Engineering of existing structures (EN) The engineering of existing structures encompasses the examination of condition and load-carrying capacity, decision criteria, and methods for rehabilitation or strengthening. This course presents the bases necessary for this approach at the level of materials and structural response. Reinforced concrete structures – advanced topics (EN) This course will focus on advanced behavioural modelling of reinforced concrete through analytical and numerical methods. It will build on previous studies to further the student’s understanding of the mechanics of reinforced concrete at the material, element, and structure level. Flood and dam break waves (FR) The course provides computational methods for unsteady flow problems such as floods, waves, and dam failures. The emphasis is on the physical understanding of the phenomena, the governing equations (Saint-Venant equations) and aspects related to engineering practice. Seismic engineering (EN) This course deals with the main aspects of seismic design and assessment of buildings including conceptual design. It covers different structural design and evaluation philosophies for new and existing reinforced concrete, steel and unreinforced masonry buildings. Steel structures, selected topics (EN) Design and dimensioning of load-bearing structures using structural steel, with emphasis on the specific methods related to steel-concrete composite elements (for buildings and bridges), fatigue (bridges) and fire (buildings). Slope stability (EN) The course aims at providing future civil engineers with a comprehensive view on soil slope stability. It addresses landslide types and mass movement classification; slope failure mechanisms and methods for slope stability analysis are discussed; remedial measures and risk analysis are presented. Materials and structures (EN) Starting with basic knowledge of concrete technology, this course provides an understanding of the relationships between the composition, processing, microstructure and structural properties of “new concretes”, with a particular focus on Ultra High Performance Fiber Concretes (UHPFRC).
Computational systems thinking for sustainable eng. (EN) This course integrates systems thinking and network analysis through theory and computing. The objective of this course is to develop expertise in computationally analyzing and modeling complex systems in civil and urban systems engineering, with a particular emphasis on advancing sustainability. Decision-aid methodologies in transportation (EN) The course has two modules, the first Operations Research (OR), and the second is statistical modeling of transportation systems. Students will be modeling applied problems and developing solution methods and modelling of driver behavior for decision support in transportation. Inference for large-scale time series with application to sensor fusion (EN) Large-scale time series analysis is performed by a new statistical tool that is superior to other estimators of complex state-space models. The identified stochastic dependences can be used for sensor fusion by Bayesian (e.g. Kalman) filtering or for studying changes in natural/biological phenomena. Communication for Research Engineers (EN) Communication proficiency is one of the most important results of a good PhD and postdoc experience and it is valued
equally in academia and in industry. EPFL PhD students and postdocs are expected to have excellent written, oral and
graphic skills in order to transmit their ideas effectively. Research skills in the Open Science Era (EN) Research Skills in the Open Science Era is a course designed to explore the landscape of modern research tools and practices. You will gain insights into principles of open science, smart information retrieval, ethical publishing, coding best practices, and comprehensive research data management. Frontiers of Deep Learning for Engineers (EN) The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research of the Ph.D. student. Selected Topics on Advanced Composites in Engineering Structures (EN) The course presents investigations into composite materials’ fatigue and fracture, including bonding and reinforcement. Students learn about failure, degradation mechanisms, and analytical and design concepts following current international standards for addressing realistic loading conditions. New Concretes for Structures (EN) This course provides an in-depth coverage of mechanical and physical properties of Ultra High Performance Fiber Reinforced Concretes (UHPFRC), in the framework of new concretes for sustainable structures. It provides an extended and comprehensive insight on these materials. Performance-based earthquake engineering (EN) Quantitative decision making based on life-cycle considerations that incorporate direct losses, seismic risk assessment, and collapse. Seismic hazard analysis, response simulation, damage and loss estimation, collapse prediction. Case studies. Advanced information, computation, communication II (EN) Text, sound, and images are examples of information sources stored in our computers and/or communicated over the Internet. How do we measure, compress, and protect the informatin they contain? Project oriented programming (FR) This course focuses on the complementary features of the C++ language that allow to design robust modular applications (principle of separation of concerns). The practice dimension is deemed particularly important ; for this reason a significant time is devoted to a project. Signal processing (EN) Signal processing theory and applications: discrete and continuous time signals; Fourier analysis, DFT, DTFT,
CTFT, FFT, STFT; linear time invariant systems; filter design and adaptive filtering; sampling; interpolation
and quantization; image processing, data communication and control systems. Stochastic models in communication (FR) The goal of this class is to acquire a working knowledge of the tools of random processes used by an engineer in communication, data science and computer science. Computer security and privacy (EN) This is an introductory course to computer security and privacy. Its goal is to provide students with means to reason about security and privacy problems, and provide them with tools to confront them. Principles of digital communications (EN) This course is on the foundations of digital communication. The focus is on the transmission problem (rather than being on source coding). Intelligent systems: communications & AI (EN) The course teaches the development of systems that solve real-world challenges in signal processing, foundation models, and AI. Students will work in teams, construct their ideas, and either program available hardware prototypes or build their hardware or software system. Internet analytics (EN) Internet analytics is the collection, modeling, and analysis of user data in large-scale online services, such as social networking, e-commerce, search, and advertisement. This class explores a number of the key functions of such online services that have become ubiquitous over the past decade. Introduction to quantum information processing (EN) Information is processed in physical devices. In the quantum regime the concept of classical bit is replaced by the quantum bit. We introduce quantum principles, and then quantum communications, key distribution, quantum entropy, and spin dynamics. No prior knowledge of quantum physics is required. Cryptography and security (EN) This course introduces the basics of cryptography. We review several types of cryptographic primitives, when it is safe to use them and how to select the appropriate security parameters. We detail how they work and sketch how they can be implemented. Information theory and coding (EN) The mathematical principles of communication that govern the compression and transmission of data and the design of efficient methods of doing so. Mobile networks (EN) This course provides a detailed description of the organization and operating principles of mobile and wireless communication networks, as well as the use of wireless signals for sensing and imaging. Foundations of Data Science (EN) We discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introduction ML course. In particular we discuss fundamentals ideas and techniques that come from probability, information theory as well as signal processing. Advanced networks (EN) This advanced course in computer networks offers an in-depth exploration of how the Internet is designed and operates. Students dive into the architecture of the Internet and gain hands-on understanding of the key protocols that power it. Advanced probability and applications (EN) In this course, various aspects of probability theory are considered. The first part covers the main theorems in the field (law of large numbers, central limit theorem), while the second part focuses on the theory of martingales and concentration inequalities. Introduction to quantum cryptography (EN) This course describes, at a rigorous mathematical level, a range of such tasks, each time identifying the fundamental property of quantum information that makes it possible, its strengths, and its limits. Data visualization (EN) Understanding why and how to present complex data interactively in an effective manner has become a crucial skill for any data scientist. In this course, you will learn how to design, judge, build and present your own interactive data visualizations. Large-scale data science for real-world data (EN) This hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insights, applied to real-world problems. Advanced cryptography (EN) This course reviews some failure cases in public-key cryptography. It introduces some cryptanalysis techniques. It also presents fundamentals in cryptography such as interactive proofs. Finally, it presents some techniques to validate the security of cryptographic primitives. Dynamical system theory for engineers (EN) Linear and nonlinear dynamical systems are found in all fields of science and engineering. After a short review of linear system theory, the class will explain and develop the main tools for the qualitative analysis of nonlinear systems, both in discrete-time and continuous-time. Seminar on applied cryptography (EN) This seminar introduces the participants to the current trends, problems, and methods in the area of communication security. Advanced Topics in Information Theory (EN) The class will focus on information-theoretic progress of the last decade. Topics include: Network Information Theory ; Information Measures: definitions, properties, and applications to probabilistic models. Advanced information, computation, communication I (EN) Discrete mathematics is a discipline with applications to almost all areas of study. It provides a set of indispensable tools to computer science in particular. This course reviews (familiar) topics as diverse as mathematical reasoning, combinatorics, discrete structures & algorithmic thinking. Introduction to programming (FR) This course presents the fundamentals of programming and object-oriented programming (using the Java language). It also gives an introduction to a computer development environment (by default on Linux). Practice of object-oriented programming (FR) Students improve their knowledge of Java and put it into practice by implementing a sizeable project. They learn how to use and implement the most common type of collections (lists, sets and maps) and look at a few design patterns. Object oriented programming (FR) C++ Object-Oriented Programming Object oriented programming (FR) The fundamentals of procedural programming will be complemented with more advanced features. Emphasis will be put on object-oriented concepts, for a better reliability and reusability of programs.
This course will also present some algorithmic fundamental concept. Information, Computation, Communication (FR) On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming is given. Information, Computation, Communication (FR) The goal is this course is to introduce students to computational thinking, to present fondamental ideas of computer science and to develop their first programming skills (C++ language). Information, Computation, Communication (FR) This course is an introduction to computational thinking and computer science fundamentals as well as C++ programming basics.
Information, Computation, Communication (FR) The objective of this course is to introduce students to algorithmic thinking, to familiarize them with the fundamentals of computer and communications sciences and to develop their first programming skills (in C++). Information, Computation, Communication (FR) The course objectives are to introduce the students to algorithmic thinking, to get them familiar with the foundations of communication and computer sciences and to develop a first set of skills in programming with the Python language. Information, Computation, Communication (FR) On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming in Python is given. Information, Computation, Communication (FR) This course is an introduction to computational thinking and computer science fundamentals as well as C++ programming basics.
Software development (FR) This course deepens the programming abilities introduced during the ICC course of the first semester. It focuses on the design and specification of programs (in Python) using the “object-oriented” approach, while building a small application as a project by pair of students. Fundamentals of digital systems (EN) Welcome to the introductory course in digital design and computer architecture. In this course, we will embark on a journey into the world of digital systems, exploring the fundamental principles and concepts that underpin modern computing technology. Computer architecture (EN) This course completes the overview of computer architecture started on the first year (CS-173 DSD). Computer systems (EN) This course will teach operating systems and networks in an integrated fashion,emphasising the fundamental concepts and techniques that make their interaction possible/practical. Core lectures will be coupled with C programming lectures and assignments for hands-on experience. Human-computer interaction (EN) This course introduces core ideas and methods in the interdisciplinary field of Human-Computer Interaction (HCI). We will explore how we can design human-centered systems that are useful, usable, and beneficial to people in real-world contexts. Software construction (EN) Learn how to design and implement reliable, maintainable, and efficient software using a mix of programming skills (declarative style, higher-order functions, inductive types, parallelism) and
fundamental software construction concepts (reusability, abstraction, encapsulation, composition, proofs) Introduction to machine learning (EN) Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. Technologies for democratic society (EN) This course will offer students a broad but hands-on introduction to technologies of human self-organization. Algorithms I (EN) The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, sorting and searching, and graph algorithms. Theory of computation (EN) This course constitutes an introduction to theory of computation. It discusses the basic theoretical models of computing (finite automata, Turing machine), as well as, provides a solid and mathematically precise understanding of their fundamental capabilities and limitations. Responsible software (EN) Software’s growing importance increases engineers’ responsibility to integrate ethical concerns in the design and development process. This course teaches students concrete strategies for responsible software engineering, focusing on identifying ethical issues and mitigating risks to minimize harms. Data-intensive systems (EN) This course covers the data management system design concepts using a hands-on approach.
Parallelism and concurrency in software (EN) From sensors,to smart phones,to the world’s largest datacenters and supercomputers, parallelism & concurrency is ubiquitous in modern computing.There are also many forms of parallel & concurrent execution in modern platforms with varying degrees of ease of programmability,performance & efficiency. Principles of online decision-making (EN) This course provides a mathematical treatment of online decision-making. It covers bandits (multi-armed, contextual, structured), Markov Decision Processes (MDPs), and related topics. Key concepts include exploration-exploitation, UCB, Thompson sampling, and tools to derive regret bounds. Introduction to quantum computation (EN) The course introduces the paradigm of quantum computating in an axiomatic way. We introduce the notions of quantum bits, gates, and circuits. We introduce themost important quantum algorithms. We also touch upon error-correcting codes. This course is independent of COM-309. The software enterprise – from ideas to products (EN) The course teaches the journey that software teams take from nascent ideas to products that solve real problems for real people, in an era where AI agents perform much of the implementation, and the engineer’s craft increasingly centers on specifying, directing, reviewing, and validating their work. Computer language processing (EN) We teach the fundamental aspects of provably correct analysis and interpretation of computer languages, including the techniques to build compilers and to demonstrate correctness of key compiler phases. The course may require presence in many weeks due to in-class examinations. Numerical methods for visual computing and ML (EN) Visual computing and machine learning are characterized by their reliance on numerical algorithms to process large amounts of information such as images, shapes, and 3D volumes. This course will familiarize students with a range of essential numerical tools to solve practical problems in this area. Computer graphics (EN) The students study and apply fundamental concepts and algorithms of computer graphics for rendering, geometry
synthesis, and animation. They design and implement their own interactive graphics programs. Making intelligent things A (EN) The course aims at teaching the prototyping of intelligent physical artifacts. It aims to solve real-world challenges by a
combination of microcontroller programming, electronics, and computer -aided design and manufacturing. Student teams
choose their own challeng in consultation with the teachers. Making intelligent things B (EN) The course aims at teaching the prototyping of intelligent physical artifacts. It aims to solve real-world challenges by a
combination of microcontroller programming, electronics, and computer -aided design and manufacturing. Student teams
choose their own challeng in consultation with the teachers. Applied data analysis (EN) This course teaches the basic techniques, methodologies, and practical skills required to draw meaningful insights from a variety of data, with the help of the most acclaimed software tools in the data science world (pandas, scikit-learn, Spark, etc.) Digital education (EN) This course addresses the relationship between specific technological features and the learners’ cognitive processes. It also covers the methods and results of empirical studies: do student actually learn due to technologies? This iteration will also have a focus on AI for teaching and learning. Software security (EN) This course focuses on software security fundamentals, secure coding guidelines and principles, and advanced software
security concepts. Students learn to assess and understand threats, learn how to design and implement secure software
systems, and get hands-on experience with security pitfalls. Advanced compiler construction (EN) Students learn several implementation techniques for modern functional and object-oriented programming languages. They put some of them into practice by developing key parts of a compiler and run time system for a simple functional programming language. Machine learning for behavioral data (EN) Computer environments such as educational games, interactive simulations, and web services provide large amounts of data, which can be analyzed and serve as a basis for adaptation. This course will cover the core methods of user modeling and personalization, with a focus on educational data. Interactive theorem proving (EN) A hands-on introduction to interactive theorem proving, computer-checked mathematics, compiler verification, proofs as programs, dependent types, and proof automation.
Come learn how to write computer-checked proofs and certified bug-free code! Machine learning (EN) Machine learning methods are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed and practically implemented. Decentralized systems engineering (EN) A decentralized system is one that works when no single party is in charge or fully trusted. This course teaches decentralized systems principles while guiding students through the engineering of their own decentralized system featuring messaging, file sharing, encryption, and blockchain concepts. Optimization for machine learning (EN) This course teaches an overview of modern optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be discussed in theory and in implementation. Advanced computer graphics (EN) This course covers advanced 3D graphics techniques for realistic image synthesis. Students will learn how light interacts with objects in our world, and how to recreate these phenomena in a computer simulation to create synthetic images that are indistinguishable from photographs. Computer vision (EN) Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors.
We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their field of applicability. Sublinear algorithms for big data analysis (EN) In this course we will define rigorous mathematical models for computing on large datasets, cover main algorithmic techniques that have been developed for sublinear (e.g. faster than linear time) data processing. We will also discuss limitations inherent to computing with constrained resources. Algorithms II (EN) The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, sorting and searching, and graph algorithms. Distributed algorithms (EN) Computing is nowadays distributed over several machines, in a local IP-like network, a cloud or a P2P network. Failures are common and computations need to proceed despite partial failures of machines or communication links. This course will study the foundations of reliable distributed computing. Concurrent computing (EN) With the advent of modern architectures, it becomes crucial to master the underlying algorithmics of concurrency. The objective of this course is to study the foundations of concurrent algorithms and in particular the techniques that enable the construction of robust such algorithms. Topics in theoretical computer science (EN) The students gain an in-depth knowledge of several current and emerging areas of theoretical computer science. The course familiarizes them with advanced techniques, and develops an understanding of fundamental questions that underlie some of the key problems of modern computer science.
Geometric computing (EN) This course will cover mathematical concepts and efficient numerical methods for geometric computing. We will explore the beauty of geometry and develop algorithms to simulate and optimize 2D and 3D geometric models with an emphasis towards computational design for digital fabrication. Systems for data management and data science (EN) This is a course for students who want to understand modern large-scale data analysis systems and database systems. The course covers fundamental principles for understanding and building systems for managing and analyzing large amounts of data. It covers a wide range of topics and technologies. Foundation models and generative AI (EN) This course covers the principles, architectures, and applications of foundation models and generative AI, including generative methods, tokenization, multi-modal learning, adaptation, prompting, and their use in reasoning, decision-making, and scientific domains. Programming language foundations (EN) This course provides an introduction to the theory of programming languages, with an emphasis on language design and formal semantics. Hardware-software co-design (EN) This course offers a deep dive into the architecture and programming of modern computing systems, moving beyond general-purpose CPUs to explore how hardware and software are co-designed for maximum efficiency. Human-centered security and privacy (EN) Safeguarding security, privacy, and online safety are critical sociotechnical challenges that require integrating computing and social science. This course introduces fundamentals of human-centered computer security and privacy while drawing on novel research about emerging threats to online safety. AI for global health (EN) This course teaches students to design, build and rigorously evaluate trustworthy, representative and contextually appropriate AI systems for high-stakes decision-making in global health and humanitarian response. Advanced computer architecture (EN) This course explores techniques for exploiting instruction-level parallelism both statically and dynamically. It also addresses the generation of hardware accelerators from programming languages and investigates security issues related to microarchitectural features, including side-channel attacks. Advanced multiprocessor architecture (EN) Multiprocessors are basic building blocks for all computer systems. This course covers the architecture and organization of modern multiprocessors, prevalent accelerators (e.g., GPU, TPU), and datacenters. It includes a research project on multiprocessors and post-Moore era datacenters. Design technologies for integrated systems (EN) Hardware compilation is the process of transforming specialized hardware description languages into circuit descriptions, which are iteratively refined, detailed and optimized. The course presents algorithms, tools and methods for hardware compilation and logic synthesis. System programming for Systems-on-chip (EN) To efficiently program embedded systems an understanding of their architectures is required. After following this course students will be able to take an existing SoC, understand its architecture, and efficiently program it. Embedded system design (EN) Hardware-software co-design is a well known concept in embedded system design.It is also a concept required in designing FPGA-accelerators in data-centers.This course teaches how to transform algorithms in smart hardware-software solutions. Advanced operating systems (EN) This course teaches the design and implementation of modern operating systems through the lens of the Linux kernel. Using an extensive hands-on approach, students study how classical OS principles are realized in a production kernel and explore new design ideas proposed over the past two decades.
Brain-style learning in neural networks (EN) Full title : Brain-style learning in Neural Networks: Learning algorithms of the brain. Biological brains show powerful learning without BackProp, how? By a smart combination of Reinforcement Learning and Self-supervised learning with local learning rules at the connections (synapses). Experience design (EN) As we move towards an AI economy, the success of new products, systems and services depend increasingly on the excellence of personal experience. This course introduces students to the notion and practice of experience design following a hands-on, studio-based approach. AI product management (EN) The course focuses on the development of real-word AI/ML products. It is intended for students who have acquired a theoretical background in AI/ML and are interested in applying that toward developing AI/ML-oriented products. Deep learning in biomedicine (EN) Deep learning offers potential to transform biomedical research. In this course, we will cover recent deep learning methods and learn how to apply these methods to problems in biomedical domain. Visual intelligence (EN) This course covers both classic concepts and recent advances in computer vision and machine learning for processing visual data — with a primary focus on embodied intelligence and multimodal learning Principles of computer systems (EN) This advanced graduate course teaches the key design principles underlying successful computer and communication systems, and shows how to solve real problems with ideas, techniques, and algorithms from operating systems, networks, databases, programming languages, and computer architecture. Computational complexity (EN) In computational complexity we study the computational resources needed to solve problems and understand the relation between different types of computation.
This course advances the students knowledge of computational complexity, and develop an understanding of fundamental open questions. Formal verification (EN) We introduce formal verification as an approach for developing highly reliable systems. Formal verification finds proofs that computer systems work under all relevant scenarios. We will learn how to use formal verification tools and explain the theory and the practice behind them. Modern natural language processing (EN) Natural language processing is ubiquitous in modern intelligent technologies, serving as a foundation for language translators, virtual assistants, search engines, and many more. In this course, students will learn algorithmic tools for tackling problems in modern NLP. Topics in Natural Language Processing (EN) This seminar course explores advanced topics in natural language processing through a mix of reading, reviewing, and writing academic papers.
Agentic-Systems Security (EN) This is a seminar course where we will read a selection of papers covering the topic of AI agent security. The goal is to discuss the published approaches and to compare them with each other. This should give a good foundation for students who want to continue working in the area. Transfer learning and meta-learning (EN) This seminar course covers principles and recent advancements in machine learning methods that have the ability to solve multiple tasks and generalize to new domains in which training and test distributions are different. Constructive Computer Architecture (EN) Beginning with a basic pipeline processor, student will learn to implement intriguing architectural techinques through a series of labs. The class will emphasize the implementation, debugging, and analysis of varoius advanced computer architecture techniques.
Fault-tolerant quantum computing (EN) The course explains how to execute scalable algorithms on fault-tolerant quantum computers. It describes error correction used to build reliable logical operations from noisy physical operations, and how quantum programs are mapped into logical operations sets taking into account layout constraints. Interactive Theorem Proving Project (EN) A project-focused introduction to interactive theorem proving. Topics in Machine Learning for Education (EN) This seminar course covers the interdisciplinary field of machine learning for education. By reading, reviewing, and presenting research papers from recent venues, students will become familiar with core issues and techniques in the field Topics in Machine Learning Systems (EN) This course will cover the latest technologies, platforms and research contributions in the area of machine learning systems. The students
will read, review and present papers from recent venues across the systems for ML spectrum. Topics in Computational Social Science (TopiCSS) (EN) This is a seminar course. By reading and discussing an introductory book as well as research papers about computational social science, students will become familiar with core issues and techniques in the field. Topics on Datacenter Design (EN) Modern datacenters with thousands of servers and multi-megawatt power budgets form the backbone of our digital universe. ln this course, we will survey a broad and comprehensive spectrum of datacenter design topics from workloads, to server architecture and infrastructure. Evolutionary Computation: Methods and Algorithms (EN) This course introduces Evolutionary Computation, machine-learning methods inspired by natural evolution for solving non-differentiable and ill-defined problems. Students learn the theory, main algorithms, and applications to neural networks and robotics, and apply them to a project of their choice. Historical Document and Media Processing (EN) This course introduces historical document processing, focusing on concepts and methods that enable the transformation of digitised materials into structured and searchable data. Grounded in machine learning and document processing, it also covers data curation and copyright considerations. Digital musicology (EN) This course will introduce students to the central topics in digital musicology and core theoretical approaches and methods. In the practical part, students will carry out a practical project. Cultural data sculpting (EN) This course will engage novel approaches for visualizing and interacting with cultural heritage archives in immersive virtual environments.
Foundations of digital humanities (EN) This course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their processing, analysis, and interpretation. Design research for digital innovation (EN) How can we turn digital technologies and data into meaningful user experiences? How can we face societal issues raised by digital evolution? This course proposes an immersion in design research, user centered creativity and UX/UI psychology, through project based learning. History and the digital (EN) The course presents a number of computational approaches & tools that can be used to study history. Drawing on case studies from the history of science & technology, the course also offers students the opportunity to critically reflect on their own practices as digital humanists and data scientists. Game design & prototyping (EN) This course aims to present and discuss various game design methodologies that can be used to analyze and create projects based on interactivity and player engagement. It gives students the opportunity of engaging with the medium of (video) games – its limits and potentials – to widen their toolset. Ethics and law of AI (EN) This master course enables students to sharpen their proficiency in tackling ethical and legal challenges linked to Artificial Intelligence (AI). Students acquire the competence to define AI and identify ethical and legal questions linked to its conception and increased use in society. Computational Social Media (EN) The course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Twitter/X, Instagram, YouTube, and TikTok. Students will learn methods to understand socio-technical phenomena in social media. Electrical engineering science & technology (FR) This course is an introduction to electrical engineering, with emphasis on circuits and their components. It includes a theoretical module with exercises and practical experiments in the laboratory. Electrical engineering science and technology (Spring) (FR) This course provides an introduction to electricity.
Electricity main laws and the fundamental elements of linear DC circuits will be covered. The student will also learn how to analyze electric circuits. Electrical engineering science & technology (FR) This course introduces the fundamental laws of electricity and the methods for analyzing linear electrical circuits, consisting of resistors, capacitors and inductors. We will start with the Direct Current circuits and then switch to single-phase and three-phase Alternating Current circuits. Logic systems (for MT) (FR) This course covers the fundamentals of digital systems. The methods enabling the analysis and the synthesis of logic systems are studied and exercised based on Boolean algebra, combinational and sequential circuits including finite-state machines. Circuits and systems (FR) This course provides an introduction to the theory and analysis methods of electrical circuits. Electromagnetics I : Transmission lines and waves (FR) The electric signal is the essential vehicle for transmitting information and energy. At high frequency, it shows itself as an electromagnetic wave whose study calls for the development of physical and mathematical models based on the wave equation. Electromagnetics II : field computation (FR) This course deals with electromagnetism in free space and in continuous media. Starting from the basic principles, we establish the methods for solving Maxwell’s equation in vacuum and in more complex material media. Electronics I (FR) The basic concepts enabling to understand and analysis Operational Amplifier based circuits dedicated to analog signal processing are addressed. This includes the amplification, filtering, A/D conversion and signal generation. Electronics I (FR) Discover the world of electronics from the fundamental laws of linear and nonlinear discrete components. Circuits obtained with component assemblies require many modeling and analysis techniques, and verification using a simulator. Electronics II (for EL) (FR) This course covers the bipolar and MOSFET transistors, their operations, modeling and implementation in elementary circuits (current mirror and various amplifiers: single-ended, differential, multi-stage, power amplifiers, etc.) and ends with the design of MOS and Bipolar OpAmps. Electronics II (for IC) (FR) Understanding functionnal blocks that require a higher level of abstraction. Realization of electronic high-level functions exploiting operational amplifiers. Electronics II (for MT) (FR) This course covers the bipolar and MOSFET transistors, their operations, modeling and implementation in elementary circuits (current mirror and various amplifiers: single-ended, differential, multi-stage, power amplifiers, etc.) and ends with the design of MOS and Bipolar OpAmps. Signals and systems (for EL) (FR) This course establishes the foundations of an essential concept in engineering: the notion of a system. More specifically, the course introduces the theory of linear time-invariant (LTI) systems, which are widely used to model both physical reality and human-engineered systems. Logic systems (for EL) (FR) This course covers the fundamentals of digital systems. The methods enabling the analysis and the synthesis of logic systems are studied and exercised based on Boolean algebra, combinational and sequential circuits including finite-state machines. Microcontrollers and digital systems (FR) Microcontrollers covers the internal operation of a microcontroller, basic notions of microprocessor architecture and computer systems as well as microcontroller interfaces and serial communication protocols. Elements of statistics for data science (FR) Estimation theory: maximum likelihood estimation, Fisher information.
Cramer-Rao inequality. Confidence intervals.
Hypotheses testing: Neyman-Pearson framework. Maximum likelihood test. Parametric and non parametric tests.
Bayesian inference.
Linear Models. Electronics (FR) Introduction to the main electronic components.
Analysis of basic circuits made of operational amplifiers.
Introduction to elementary logic circuits.
Principle of Analog – Digital conversion.
Basics of MOSFET transistor operation. Electrical systems and electronics I (FR) The course has the aim to provide the fundamental knowledge and experiences to understand basic electrical systems. Electrical systems and electronics II (FR) The basic concepts enabling to understand and analysis the electronic systems dedicated to signals acquisition and processing (e.g. biosensors, physiological signals, ECG) are addressed. This includes the acquisition, amplification and filtering. Microprogrammed Embedded Systems (FR) The student will understand the architectures of embedded microprogrammed systems, microprocessor architectures, memory hierarchies, and various Input/Output (I/O) devices, using the Nintendo DS handheld platform as a case study. Analog IC design (EN) Introduction to the design of analog CMOS integrated circuits at the transistor level. Understanding and design of basic structures. Digital IC design (EN) Digital IC Design presents the fundamentals of digital integrated circuit design. The methods and techniques aiming at the fabrication and development of digital integrated circuits are reviewed, the major design style pertaining to digital logic and memory are presented. Semiconductor physics and device principles (EN) The course introduces the fundamental principles of semiconductor devices used for information processing and storage. It covers the basics of the physics of device operation, material aspects, design, and essential device characteristics, while also highlighting trends driven by modern applications Digital systems design (EN) Students will acquire basic knowledge about methodologies and tools for the design, optimization, and verification of custom digital systems/hardware.
They learn how to design synchronous digital circuits on register transfer level, analyse their timing and implement them in VHDL and on FPGAs. Electronic circuits and systems (FR) The objective of this course is an in-depth study of electronic circuits and systems using the fundamental concept of feedback, with an emphasis on practical applications. The course also covers the fundamental principles of A/D and D/A converters and their architectures. Systèmes de télécommunications (FR) Learning basic knowledge on transmission of information and identify the relevant criteria for the dimensioning of a telecommunication system. Evaluate the quality of digital transmission systems (error probability) either in baseband or shifted passband. Introduction aux microondes et aux antennes (FR) This courses introduces the foundations of passive microwave circuits and of antenna. it covers the notions of distributed circuits and their characterization through the scattering parameters, guided and free space propagation, the fundamental aspects of antennas. Electroacoustics (FR) This lecture will give the EE students strong ground knowledge on the acoustical engineering through a formalism that they already know, namely electrotechnics. The main learning outcome of the lecture is the understanding and the design of acoustic systems such as acoustic filters. Signal processing (FR) In this course, we introduce the main methods in signal processing. Energy conversion (FR) The course aims at providing the elements related to the energy conversion with particular reference to the electricity production by means of conventional and renewable energy sources. The course illustrates the fundamental notions for the modeling of energy conversion systems. Electrical machines (for EL) (FR) The aim of this course is to acquire the basic knowledge related to electrical machines (electromechanical conversion). The course covers the magnetic circuit, the transformer, synchronous, induction and direct current machines as well as stepper motors. Power systems analysis (EN) The course provides the fundamental concepts to model power systems, understand their operation and design/coordinate some of its main components. Power electronics (EN) The goal of the course is to present fundamentals of power electronics. The key focus is on the operating principles of power electronic converters, their modelling, sizing and design. Electrical machines (for ME) (FR) The aim of this course is to acquire the basic knowledge related to electrical machines (electromechanical conversion). The course covers the magnetic circuit, the transformer, synchronous, induction and direct current machines as well as stepper motors. Lab on hardware-software digital systems codesign (EN) This course explores hardware-software co-design techniques to develop heterogeneous multi-core embedded systems running Linux on FPGAs. The course explores high-level synthesis tools (HLS) to design hardware accelerators that reduce total execution time and energy consumption for complex tasks. Lab in energy conversion (FR) This teaching lab provides the experimental experiences associated to courses of the Energy orientation of the BSc in EE. The experiments cover measurement methods, electrical machines and elements related to conversion system, including storage. Lab in information technologies (FR) Get familiar with experimental aspects of the main domains of the orientation “Information and communication technologies” Fundamentals of electrical circuits and systems I (EN) This course gives you an introduction to signal processing, focusing on the Fourier transform, on signal sampling and reconstruction and the Discrete Fourier transform. Fundamentals of electrical circuits and systems II (EN) This course provides an introduction to the theory and analysis methods of electrical circuits. Fundamentals of inference and learning (EN) This is an introductory course in the theory of statistics, inference, and machine learning, with an emphasis on theoretical understanding & practical exercises. The course will combine, and alternate, between mathematical theoretical foundations and practical computational aspects in python. Fundamentals of analog VLSI design (EN) This course presents the systematic design of low-power analog CMOS integrated circuits based on the concept of inversion coefficient and on the sEKV MOSFET model. It covers device modeling, basic building blocks to more advanced circuits like amplifiers and switched-capacitor circuits. Radio frequency circuits design techniques (EN) RF has changed our daily life in our ever connected wireless world (guess how many radios you have in your smartphone?). The goal of this course is to get familiar with RF design techniques in view of understanding the basics behind wireless communication.
Fundamentals of VLSI design (EN) The course introduces the fundamentals of digital integrated circuits and the technology aspects from a designers perspective. It focuses mostly on transistor level, but discusses also the extension to large digital semicustom designs. Analog circuit design II (for MNIS) (EN) The course provides a comprehensive treatment of analog IC design, emphasizing new solutions and paradigms used in today’s low-power electronic systems. The analysis and design are first introduced from an intuitive perspective before the rigorous treatment and practical application in EDA-Lab. Photonic systems and technology (EN) The physics of optical communication components and their applications to communication systems will be covered. The course is intended to present the operation principles of contemporary optical communication systems employing optical fibers and modern optoelectronic devices. Wireless receivers: algorithms and architectures (EN) The students will learn about the basic principles of wireless communication systems, including transmission and modulation schemes as well as the basic components and algorithms of a wireless receiver. They develop an understanding for the wireless channel and system performance and limitations. Microwaves, the basics of wireless communications (EN) This course is an introduction to microwaves and microwave passive circuits. A special attention is given to the introduction of the notion of distributed circuits and to the scattering matrix Antennas (EN) The students will first learn the fundamental principles governing antennas and get familiar with the main antenna types.
In the second part, students will work in groups on an antenna design project. Through this, they will learn to use common simulation tools, and perform antenna measurements Image analysis and pattern recognition (EN) This course gives an introduction to the main methods of image analysis and pattern recognition.
Network machine learning (EN) Fundamentals, methods, algorithms and applications of network machine learning and graph neural networks Hydropower plants: generating and pumping units (EN) Master Lectures on the layouts, compenents and operating principles of hydropower plants and hydroelectric units for generation and pumping. Industrial electronics I (EN) The course deals with the control of grid connected power electronic converters for renewable applications, covering: converter topologies, pulse width modulation, modelling, control algorithms and controllers (PID and PR), coordinate frame transformations, grid monitoring and synchronisation (PLL). Energy storage in power systems: technologies, applications and future needs (EN) This course reviews the main energy storage technologies, their attributes, mathematical models, and applications (stationary and mobile), from design to operations and control. Battery systems, whose application and development rates today are among the most relevant, will be given special focus. Smart grids technologies (EN) Learn the technologies and methodologies used in the context of the operation of future power grids and be able to deploy/implement/test them. Lab in acoustics (EN) Apply the knowledge acquired in Audio lectures (room acoustics, acoustic material characterization, loudspeaker measurements, etc.), and provide additional useful illustrations (full wave simulations on COMSOL Multiphysics to better understand some physical phenomena). Lab in advanced VLSI design (EN) this class covers advanced VLSI design techniques. top-down full custom circuit design. Lab in power electronics (EN) This teaching lab provides the practical experiences related to the operation of power electronics converters and digital control in power electronics, through experimental activities on the Power Electronic Teaching Setups. Work is organised
by means of mini projects, assigned to each student. Lab in signal and image processing (EN) These lab sessions are hands-on exercises focusing on the basics of image processing and deep learning. The main objective is to learn how to use some important image processing libraries, namely OpenCV, numpy and TensorFlow, to perform image analysis tasks. Lab on app development for tablets and smartphones (EN) Focusing on the Android ecosystem, this course teaches techniques for the development of distributed mobile applications, operating on multiple heterogeneous devices (tablets / smartwatches), sensing the environment, and interfacing with the cloud. Lab in nanoelectronics (EN) Students will work in the laboratory and the EPFL CMI cleanroom on a process flow for fabricating devices based on 2D semiconductors. Sensors in medical instrumentation (EN) Fundamental principles and methods used for physiological signal conditioning. Electrode, optical, resistive, capacitive, inductive, and piezoelectric sensor techniques used to detect and convert physiological information to electrical signals. Medical devices for physiological signal monitoring. Applied biomedical signal processing (EN) This course covers state-of-the-art concepts and approaches for biomedical signal processing, applied to diverse sensing modalities, and framed in real applications within the health, wellness, and sports domains. Fundamentals of biosensors and electronic biochips (EN) The labels “biosensor” and “eBiochip” have been employed to refer to the most diverse systems and in several fields of application. The course is meant not only to provide means to dig into this sea but also a thoughtful understanding of the detection principles and a design perspective. Bio-nano-chip design (EN) Introduction to heterogeneous integration for Nano-Bio-CMOS sensors on Chip.
Understanding and designing of active Bio/CMOS interfaces powered by nanostructures. Analog circuits for biochip (EN) Introduction to analog CMOS design for Remote Biosensors on Chip. Understanding and designing of active and remotely powered biosensing systems. Basic understanding of the wireless transmission of the obtained signals. Bioelectronics and biomedical microelectronics (EN) The course covers the fundaments of bioelectronics and integrated microelectronics for biomedical and implantable systems. Issues and trade-offs at the circuit and systems levels of invasive microelectronic systems as well as their eluding designs, methods and classical implementations are discussed Advanced analog integrated circuit design (EN) Introduction to advanced topics in analog and mixed-signal CMOS circuits at the transistor level. The course will focus on practical aspects of IC design, quantitative performance measures, and design trade-offs to develop an intuitive understanding of circuit behavior. Introduction to bioengineering (EN) This course provides engineering students with a foundational understanding of bioengineering, a multidisciplinary field that integrates principles of biology, chemistry, and engineering. Test of VLSI systems (EN) Test of VLSI Systems covers theoretical knowledge related to the major algorithms used in VLSI test, and design for test techniques. Basic knowledge related to computer-aided design for test techniques, and their integration into a design-flow are presented. Nanoelectronics (EN) This lecture overviews and discusses the last trends in the technology and principles of nanoelectronic devices for more aggressive scaling, better performances, added functionalities and lower energy per function. The opportunities of these advances compared to industrial roadmaps are analized. Physical models for micro and nanosystems (EN) Students will learn simple theoretical models, the theoretical background of finite element modeling as well as its application to modeling charge, mass and heat transport in electronic, fluidic and electromechanical micro and nanosystem. Audio engineering (EN) This lecture is oriented towards the study of audio engineering, room acoustics, sound propagation, and sound radiation from sources and acoustic antennas. The learning outcomes will be the techniques for microphones and loudspeaker design, as well as room acoustics. Media security (EN) This course provides attendees with theoretical and practical issues in media security. In addition to lectures by the professor, the course includes laboratory sessions, a mini-project, and a mid-term exam.
Automatic speech processing (EN) The goal of this course is to provide the students with the main formalisms, models and algorithms required for the implementation of advanced speech processing applications (involving, among others, speech coding, speech analysis/synthesis, and speech recognition, speaker recognition). Mathematics of data: from theory to computation (EN) This course provides an overview of key advances in continuous optimization and statistical analysis for machine learning. We review recent learning formulations and models as well as their guarantees, describe scalable solution techniques and algorithms, and illustrate the trade-offs involved. Semiconductor devices I (EN) This course aims to give a solid introduction to semiconductors, from Silicon to compound semiconductors, making the connection between the physics and their application in real life. We will explore several experimental techniques related to current semiconductor research and development. Deep learning (EN) This course explores how to design reliable discriminative and generative neural networks, the ethics of data acquisition and model deployment, as well as modern multi-modal models.
Industrial electronics II (EN) The course is dealing with high performance drives and methods to control various electrical machines by means of power electronic converter and advanced control methods. Adaptation and learning (EN) In this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications. Semiconductor devices II (EN) Students will learn about understanding the fundamentals and applications of emerging nanoscale devices, materials
and concepts. Remark: at least 5 students should be enrolled for the course to be given
Reinforcement learning (EN) This course describes theory and methods for Reinforcement Learning (RL), which revolves around decision making under uncertainty. The course covers classic algorithms in RL as well as recent algorithms under the lens of contemporary optimization. Image and video coding (EN) This course addresses coding of visual information. The primary focus will be on image and moving picture compression. Concrete examples of image and video coding algorithms such as those standardized under JPEG and MPEG are explained and compared. Power system restructuring and deregulation (EN) This course presents different types and mechanisms of electricity markets. It addresses in particular their impacts on power/distribution systems operation and consequently the appropriate strategies capable to ensure a secure and reliable functioning. Electromagnetic compatibility (EN) In this lecture, students will get the basic knowledge on electromagnetic compatibility. Introduction to the design of space mechanisms (EN) Space environment is different from what we can experience on Earth, requiring specific design approaches in order to achieve reliable operations. Engineers must hence face new challenges stimulating their creativity to tackle those particular constraints. Lessons learned from the space exploration (EN) The objective of the course is to present with different viewpoints, the lessons learned which lead to the decisions in the space exploration and their consequences today and for the decades to come. A semester continuous evaluation is done through a conceptual study of a space project (see below). Spacecraft design and system engineering (EN) The objective of the course is to provide tools and notions for spacecraft design and systems engineering. The course will start with an introduction on systems engineering, then the different subsystems of a spacecraft will be explored. External teachers from industry will bring their expertise. Space mission design and operations (EN) Space mission design and operations takes you through the necessary concepts to understand a mission mission, from planning to actually flying the spacecraft. We will focus on concepts and see many examples ranging historical probes to very topical missions. Space sustainability, a multidisciplinary approach (EN) The students will learn the history and geopolitical challenges of space sustai. Different tools and methods to measure, understand and act for space sust. will be presented. Throughout group work, the students will evaluate the technical, economical, governance and geopolitical aspects of space sus Advanced lab in electrical energy systems (EN) Pre-requisites required. The number of places is limited. Please register only after having obtained the teacher’s agreement. The purpose of this teaching lab is to put together all the concepts learned during the course into electrical energy by the implementation of an islanded production unit. Usability engineering (EN) Introduction to Human Factors/Usability Engineering theory and research methods.
Human Factors Engineering/Usability is interdisciplinary and focuses on human cognition, behaviour and ergonomics in design. The course focus on human systems integration and human functions in machine/product systems. Deep Learning For Natural Language Processing (EN) This course covers advanced topics in deep learning architectures for natural language processing. The focus is on attention-based architectures, structure processing and variational-Bayesian approaches, and why these models are particularly suited to the properties of human language. Linear system theory (EN) The course covers control theory and design for linear time-invariant systems : (i) Mathematical descriptions of systems (ii) Multivariables realizations; (iii) Stability ; (iv) Controllability and Observability; (v) Minimal realizations and coprime fractions; (vi) Pole placement and model matching. Machine Learning for Engineers (EN) The objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done in python using jupyter notebooks. Research seminars in Electrical and Micro Engineering – FALL (EN) This course introduces students with broad research directions in electrical and micro engineering, via a series of weekly wide-audience seminars given by distinguished speakers. The students practice transferable skills including active listening, critical thinking, and scientific communication. Research seminars in Electrical and Micro Engineering – SPRING (EN) This course introduces students with broad research directions in electrical and micro engineering, via a series of weekly wide-audience seminars given by distinguished speakers. The students practice transferable skills including active listening, critical thinking, and scientific communication. Graph representations for biology and medicine (EN) Systems of interacting entities, modeled as graphs, are pervasive in biology and medicine. The class will cover advanced topics in signal processing and machine learning on graphs and networks, and will showcase applications of the tools in biomedicine. Advanced lll-Nitride Semiconductor Devices (EN) This course covers advanced topics on compound semiconductors (lll-Nitrides) and their heterostructures, from both physics and
engineering perspectives, to explain the principles of some of the widespread electronic and optoelectronic devices used in our lives
(LEDs, lasers, HEMTS, and power FETS). Training Large Language Models (EN) This PhD-level course dives deep into the training of Large Language Models (LLMs), focusing on the complementary roles of datasets, pre-training and post training methodologies in shaping model performance and scalability.
Network Neuroscience: Methods & Applications (EN) This course provides students with a solid background on theory and applications for brain network analysis. It involves concepts from signal processing and graph theory, applied to neuroimaging data to construct and analyse brain networks and their dynamics. Advanced topics in electromagnetic compatibility (EN) After a series of common introductory topics covering an introduction to electromagnetic compatibility, modeling techniques and selected chapters from EMC, each student will study a specific topic, which will be presented and discussed. Digital Speech and Audio Coding (EN) The goal of this course is to introduce the engineering students state-of-the-art speech and audio coding techniques with an emphasis on the integration of knowledge about sound production and auditory perception through signal processing techniques. Human language technology: applications to information access (EN) The Human Language Technology (HLT) course presents methods for accessing information enclosed in large text collections. While the focus is on neural language models, their evolution and relationship to statistical or symbolic models are also presented.
Design and Optimization of Internet-of-Things Systems (EN) This course provides a complete overview of the most relevant subfields related to Internet of Things (IoT) systems, it presents the perspectives and the underlying technologies, with a particular focus on edge AI architectures and software (AI and TinyML algorithms), communication and Cloud systems Online learning in games (EN) This course provides an overview of recent developments in online learning, game theory, and variational inequalities and their point of intersection with a focus on algorithmic development. The primary approach is to lay out the different problem classes and their associated optimal rates. Optimal Control for Dynamic Systems (EN) This doctoral course provides an introduction to optimal control covering fundamental theory, numerical implementation and problem formulation for applications. Introduction to wave scattering (EN) This advanced theoretical course introduces students to basic concepts in wave scattering theory, with a focus on scattering matrix theory and its applications, in particular in photonics. ELLIS Summer School on AI for Health (EN) The EPFL AI Center and the ELLIS EPFL unit are organizing the AI for Health Summer School, taking place on the EPFL campus from 7th to 11th July, 2025. This intensive week will delve into how AI is transforming biomedicine, with a focus on the intersection of AI, life sciences, and medicine. Fundamentals of Image Analysis (EN) This summer school is an hands-on introduction on the fundamentals of image analysis for scientists. A series of lectures provide students with the key concepts in the field, and are followed by practical sessions with popular software on the participants’ own image-analysis software. Data science for engineers with Python (FR) This course offers a gradual and comprehensive introduction to the field of Data Science through the Python programming language. It guides students from raw data manipulation to modeling and the extraction of meaningful insights from real-world data. Estimation methods (FR) The students treat observations affected by uncertainty in a rigorous manner. They master the main methods to adjust measurements and to estimate parameters. They apply specific models to real-world problems encountered in various experimental sciences. Computational methods and tools (EN) This course prepares students to use modern computational methods and tools for solving problems in engineering and science.
Fluid mechanics (for SIE) (EN) This course helps students acquire basic knowledge of the main concepts and equations of fluid mechanics and develop the skills necessary to work effectively in professional engineering practice. Construction contracts and liability (FR) Course (3 ECTS) on private construction law for students in architecture, civil and environmental engineering. Covers contracts (mandate, work), professional liability, dispute resolution, and risk management, with practical case examples. Signals, instruments and systems (EN) The goal of this course is to transmit knowledge in sensing, computing, communicating, and actuating for programmable
field instruments and, more generally, embedded systems. The student will be able to put in practice the knowledge
acquired using concrete software and hardware tools. Construction project management (FR) An architectural work with a distinctive quality is the result of a multitude of processes and various participants. Its success is closely linked to the organization set up by the architect during the different phases of the project. Energy supply, economics and transition (EN) This course examines energy systems from various angles: available resources, how they can be combined or substituted, their private and social costs, whether they can meet the energy demand, and how the transition to a renewable energy system can be fostered. Concurrent engineering of space missions (EN) The main objective of this course is to teach the students the fundamentals of concurrent engineering for space missions and systems. The course is built around a similar framework to that of the European Space Agency’s (ESA) Concurrent Engineering Challenge. Environmental transport phenomena (EN) The course aims at introducing basic physical aspects of molecular and turbulent diffusion, as well as of dispersion processes, their mathematical modeling, solutions and related environmental applications Risk management (EN) This course provides students with the opportunity to acquire the methods and tools necessary for modern risk management from an engineering perspective. It emphasizes stakeholders, resources, and objectives, while ensuring economic and social sustainability. Safety of chemical processes (EN) The main focus of the lecture is on reactive hazards (thermal process safety) + introduction to explosion protection. While being based on theory, the lecture is oriented towards industrial practice.
The lecture is 7x4h Food chemistry (FR) Presentation of the properties, the functionality, and specific reactions of the important food constituents: water, proteins, carbohydrates, lipids, vitamins, minerals, additives and toxic components.
Chemistry of food processes (EN) The course will deliver basic knowledge on the principles of food processing and chemical changes occurring during food manufacturing. Specific thermal processes related to transformation of food raw materials will be described along with benefits and challenges to consider. Food biotechnology (EN) The course will deliver basic knowledge on the principles of food fermentation and enzyme technology. The course will also present benefits that food biotechnology can bring in terms of Nutrition & Health and Sustainability. Environmental impact assesment (FR) Presentation of the bases of the environmental impact assesment (EIA), context. Assesment methodology and tools for each of the topics and chapters. Illustration with many real cases, and group work. Discussion of the limitations of EIA and new tools such as strategic environmental studies. Space propulsion (EN) The main objective of the course is to provide an overview about space propulsion systems like thermal propulsion systems, chemical propulsion systems and electrical propulsion systems. The secondary objective is to discuss all relevant equipment needed for propulsion systems . Digitalization in electricity systems (EN) Participants will be equipped with specialized knowledge, grounded on latest academic research and professional practice, on potential applications and risks digitalization tendencies pose to the operation and planning of electricity systems. Design of experiments (a) – Fall semester (EN) Next course will take place on October 26-27, November 2-3, November 9-10, 2026.
The course teaches the acquisition of a methodology of designing experiments for optimal quality of the results and of the number of experiments. Videomaking for science communication (EN) The goal of this introductory workshop is to teach participants how to craft compelling and accurate science stories with engaging videos. How to prepare successful Grant proposals (EN) You will learn where to look for appropriate fellowship or research funding, how to apply for specific instruments, and how to prepare a written application. You will also gain an understanding of how proposals are assessed by funders and hone your proposal writing skills through peer review. Power electronics for renewable applications (EN) Introduction to key aspects of power-electronics utilization in renewable energy applications, including the basic operation principles, system-level properties, control, and modeling. Practical experiences are gained via the simulation exercises. Scientific Writing (EDCH) (1) (Fall) (EN) To make researchers aware of good scientific writing
To help them structure their articles
To point out pitfalls in scientific writing
To enable researchers to face their writing with confidence
To deal with specific problems in writing research proposals Scientific Writing (EDCH) (2) (Spring) (EN) To make researchers aware of good scientific writing To help them structure their articles To point out pitfalls in scientific writing To enable researchers to face their writing with confidence To deal with specific problems in writing research proposals Topics in Autonomous Robotics (EN) Students will be introduced to modern approaches in control and design of autonomous robots through lectures and exercises. Communication in science and technology (EN) This PhD course teaches basic theories and skills of
communication, and discusses current topics with internal/external lecturers. Goal: give an overview and prepare interested PhD scientists to the field of science communication. Held from Sept. to Dec. 2026. Hybrid. Biomass conversion (EN) The learning outcomes are to get to know the biomass ressources and its characteristics; study of biomass conversion pathways and study of process flow-sheets; establish the flow diagram of an industrial process with biomass as feedstock and calculate the corresponding mass and energy balances; etc Information literacy for chemists (EN) Concepts and tools to understand and use the modem chemical information environment Learn how to explore the scientific literature, how to use the information found in agreement with intellectual property laws, and learn about the current trends impacting chemists as creators of knowledge. MINTT: Management of Innovation and technology transfer (EDOC) (EN) mintt’s purpose is to provide EPFL PhD students with an accelerated training in invention management, assessment of the
potential, intellectual property rights elaboration, license negotiation, start-up option evaluation and experience sharing in
the field of innovation. Science and Engineering Teaching and Learning – FALL (EN) This course develops teaching skills through the introduction of research-informed approaches and the opportunity to practice strategies appropriate for higher education science and technology contexts (exercises, labs, projects and traditional courses). Science and Engineering Teaching and Learning – SPRING (EN) This course develops teaching skills through the introduction of research-informed approaches and the opportunity to practice strategies appropriate for higher education science and technology contexts (exercises, labs, projects and traditional courses). Lecturing and Presenting in Engineering (EN) Informed by contemporary research on teaching engineering, participants design and deliver lessons for specific audiences. This course is relevant for teaching assistants and those who intend to make teaching science or engineering part of their career, in a formal or informal way. Supervising Students in Projects (EN) The combination of practical and reflective activities in this course provide participants with evidence-informed teaching skills for supervising and evaluating students working on projects. Motion Design for Science (EN) This course is designed to empower students with skills in motion design, allowing them to breathe life into their ideas & scientific figures. We will work on exercises to animate scientific images, build towards animating a figure, then each student will design & animate their own work. Creating & capturing value from innovative tech (EN) In this hands-on course, we will learn how to identify and evaluate business opportunities stemming from an innovative technology, and how to set the ground for a successful entrepreneurial endeavor. Teaching STEM: a problem solving approach (EN) Problem solving is a core engineering skill. This course explores relevant heuristics, epistemologies, metacognitive skills and evidence-informed teaching strategies for developing problem solving skills that transfer from paper-based exercises to complex, real world engineering situations. Interdisciplinary seminar series (EN) This course focuses on interdisciplinary research communication through dynamic presentations, feedback, and collaboration with diverse audiences. Project Management and Effective Leadership (EN) This course provides a foundational understanding of project management and leadership, typically in any professional environment, including while not limited to industry and academics. Thin Film Lubrication and Gas-Lubricated Bearings (EN) This course introduces thin film lubrication and its applications to gas-lubricated bearings, including rotordynamics to enable the assessment of the operation of gas-bearing supported rotors. Sustainability in my research (EN) This course is designed to develop the necessary transversal skills to foster sustainability integration in the present and future research of the PhD students Dynamic programming and optimal control (EN) This course provides an introduction to stochastic optimal control and dynamic programming (DP), with a variety of engineering
applications. The course focuses on the DP principle of optimality, and its utility in deriving and approximating solutions to an optimal
control problem. PhD to CEO – Launching Technology Ventures (EN) The course focuses on launching technology ventures and academic spin-offs, covering foundational concepts of venture strategy and technology commercialization. Students gain real-life experience through hands-on startup projects based on own or other students’ inventions and discoveries. Ethical integrity in the sciences (EN) Students receive an overview of philosophical ethics as well as of ethics in the sciences and humanities. In addition, workshops involving physical movement and verbal exchanges inspired by performance art practices emphasize that ethical integrity is something enacted and embodied in practice. Kinematics grounded motion planning for robots (EN) Students learn forward/inverse kinematics, singularity analysis, and constraint-aware path planning for modern robotic manipulators, implementing kinematic models and planners in a final project. Doing research with and for people: design research methods for science and technology (EN) This course equips PhD students with user research methods to connect their doctoral work with society through hands-on, project-based learning. The practical skills and theory learnt are applicable at every stage of the PhD and for future careers in academia or industry. EECS Seminar: Advanced Topics in Machine Learning (EN) Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results. Sustainability (FR) This course presents global sustainability issues. It introduces the notions of planetary boundaries and social boundaries and their systemic interconnections. The interdisciplinary approach introduces group work and systems thinking (interdependencies in a complex system). Biology (EN) This course will cover the fundamental principles governing life and the living world. Topics will include the diversity of living organisms, cellular biology, genetics, evolution, and ecology. This course provides a foundation in biology, fostering critical thinking & analytical skills. Project oriented programming (for SIE) (FR) Introduction to environmental engineering (EN) Key themes in environmental science and engineering will be show-cased, with examples – from equator to the poles – including atmospheric processes and climate change, water quality, energy resources and urban development, with the amazing technologies used to study and address current challenges. Environmental chemistry (EN) This course provides students with an overview over the basics of environmental chemistry. This includes the chemistry of natural systems, as well as the fate of anthropogenic chemicals in natural systems. It enables students to apply general chemical concepts to natural systems. Microbiology for engineers (EN) “Microbiology for engineers” covers the main microbial processes that take place in the environment and in treatment systems. It presents elemental cycles that are catalyzed by microorganisms and that have a major impact on planet Earth. Atmospheric physics and the climate system (EN) The course provides an introduction to the physical and dynamical processes that govern the atmosphere at small and large scales. The basis is laid for an in depth understanding of our atmospheric environment and the climate system. Fundamentals in ecology (EN) The students will learn the fundamentals in ecology with the goal to perceive the environment beyond its physical and chemical characteristics. Starting from basic concepts, they will acquire mechanistic understanding of biodiversity, ecosystem functioning and global change. Hydrology for engineers (EN) This is an introductory course to key concepts and methods in physical and engineering hydrology. Pollutants analysis in the environment (FR) Evaluation of the quality of a river by using methods of observation as well as physico-chemical and biological methods. Collecting samples in the field and laboratory analysis.
Practical determination and use of the constants of complexes formation. Treatment and valorization of water and waste (FR) Water and waste management systems in Switzerland: from end-of-pipe treatment to closed-loop system. Principles of water supply, evacuation and treatment. Basis for the dimensioning of networks and treatment plants. Management, treatment and valorization of urban waste. Visits. French language. Physics and chemistry of the atmosphere (EN) The course provides an introduction to the physical and chemical processes that govern the atmospheric dynamics at small and large scales. The basis is laid for an in depth understanding of our atmospheric environment and the climate system. Aquatic ecosystems (EN) Inland waters are now being recognized are major players of global biogeochemical cycles. They also provide essential ecosystem services such as fresh water and fish, and link continental processes with atmospheric and marine processes. The understanding of the structure and function of inland water Remote sensing (FR) This course aims at exposing the students to the main concepts, instruments and techniques of environmental remote sensing. The interactions between waves and matter, different types of sensors and image-processing techniques are presented. Geographic information system (GIS) (FR) Acquisition of basic concepts and skills of (geographic) data structures and of their storage in (geographic) database systems. Learning of relevant geographic data analysis processes for environmental and civil engineers (spatial autocorrelation, spatial interpolation, digital elevation modeling). Environmental and construction law (FR) This course provides the students with the basic knowledge required to understand the legal aspects of their professional life in relation with spatial planning and environmental protection. Special emphasis is given to legal practical issues related to their profession. Environmental system analysis and assessment (FR) Facing environmental challenges requires to address it with a systemic perspective. Life Cycle Assessment (LCA) and Material Flow Analysis (MFA) are environmental assessment methods enabling the calculation of environmental performance of products, services and territories. Water and sanitation for development (EN) This MSc course deals with the water, sanitation and solid waste challenges in developing countries. You will learn about the current dialogue in these topics, identify key players, know existing options of water & sanitation technologies, and be able to design and evaluate a technical project. Water and wastewater treatment (EN) This course on water and wastewater treatment shows how to apply physical and chemical methods and techniques to produce drinking water, and how to implement and design different methods and techniques to eliminate organic matter, nitrogen, and phosphorus from wastewater. Atmospheric processes: from cloud to global scales (EN) The main objective is to present important atmospheric processes from the local to global scales. The course will start with cloud processes, continue to synoptic phenomena like extratropical cyclones and fronts, to finally cover numerical modeling at the regional and global scales. Sensing and spatial modeling for earth observation (EN) Students get acquainted with the process of mapping from images (orthophoto and DEM), as well as with methods for monitoring the Earth surface using remotely sensed data. Methods will span from machine learning to geostatistics and model the spatiotemporal variability of processes. Air pollution
(EN) A survey course describing the origins of air pollution and climate change Science of climate change (EN) The course equips students with a comprehensive scientific understanding of climate change covering a wide range of topics from physical principles, historical climate change, greenhouse gas emissions, the IPCC assessment to future scenarios and climate action. Ecohydrological modeling (EN) This course provides the theoretical basis for understanding and modeling the interactions between the hydrologic cycle, vegetation, soil, climate, and human society. Microbial ecology (EN) The course will focus on fundamental concepts of microbial ecology, plant-microbe interactions and environmental microbiology, with emphasis on bacteria and archaea, although fungi, algae, and protists will also be covered. Thermodynamics of the earth systems (EN) The objective of this course is to apply thermodynamic principles to understand the role of water in the Earth System. The aim is to provide a broad conceptual framework for understanding the thermodynamics of oceans and atmospheres, so material can be integrated into other study disciplines. Prototyping at the interface between disciplines (EN) This course will allow students to engage in hands-on projects in a dedicated workshop environment – the SKIL. Students work together in small groups on projects formulated together with the teacher and the highly specialized team of lab-managers of the SKIL. Students can also bring their own ideas. Urban hydrology (FR) This course in urban hydrology approaches urban water management from a global perspective, including the impacts of wet-weather discharges on receiving waters. Concrete solutions for urban water management are presented, in relation with climate change. River eco-morphodynamics and bioengineering (EN) The course deals with the interactions between hydraulics, solid transport by hauling and the watercourse space at the origin of the morphology and richness of habitats. Regime theory is presented and the quality of a stream’s habitat is assessed. Sustainability, climate and energy (EN) The course provides students with a comprehensive scientific understanding of the links between climate and energy systems in the context of sustainability. It will cover topics related to natural and anthropogenic climate change, the fundamentals of energy systems and their efficiency. Limnology (EN) Focus is on lakes, rivers and reservoirs as aquatic systems. Specific is the quantitative analyse (incl. exercises) of physical, biogeochemical and sedimentological processes. The goal is to understand the relevant processes for the water quality from an engineering perspective Exploratory data analysis in environmental health (EN) This course teaches how to apply exploratory spatial data analysis to health information. Teaching focuses on the role of GIS and spatial statistics in spatial epidemiology. It proposes a context to investigate the relationship between health, quality of life, and environmental characteristics. Sustainability assessment of urban systems (EN) This course enables students to think critically about sustainability and to carry out a sustainability assessment based on problems of urban areas. At the end of the course, students are able to develop their own sustainability assessment using the Sustainability Solution Space methodology. Urban Green&Blue infrastructure and global warming (EN) The course introduces the concept of green and blue urban infrastructure in the context of global warming. It presents knowledge, concepts, and methods for planning, developing, and maintaining an effective network of green and blue infrastructure in urban areas. Occupational and environmental health (EN) This course looks at the relationship between our environment – both professional and general – and our health. What hazards are associated with physical, chemical and biological pollutants? How can we assess the risks and prevent them? What health issues are associated with climate change?
Development engineering (EN) This course teaches the fundamentals of technologies for development (Development Engineering) to design, pilot, and deploy appropriate, affordable and robust technologies to address sustainable development challenges and especially those related to extreme poverty in Low-income settings. Environmental economics (EN) Starting with demand and supply and how markets work, as well as welfare assessment and social optimisation. Then moving on to the limitations of markets, particularly external effects, and developing instruments to correct these limitations â the instruments of environmental policy. Material flow analysis and resource management (EN) This course provides the basis to understand material and energy production and consumption processes. Students learn how to develop a material flow analysis and apply it to resource management cases. They analyze the implications of their models on resource use, economic activities and policy. Groundwater and soil remediation (EN) This course covers the essential knowledge of contaminant partitioning and techniques to monitor chemical species, physical extent of contamination and biological processes. In the second part, remediation approaches are tackled. This course represents the fundamentals of remediation. Fate and behaviour of environmental contaminants (EN) The student will learn the important processes that control the transport and transformation of organic chemicals in the environment, as well as the formulation and solution of quantitative models to describe these processes. Life cycle assessment in energy systems (EN) This course will introduce students to the Life Cycle Assessment (LCA) as a holistic approach to evaluate, among others, energy conversion technologies throughout their entire value chain, and across multiple environmental problems beyond climate change. Global change ecology and fluvial ecosystems (EN) Understand the functioning of rivers, focusing on hydrological, geomorphologic, biogeochemical and ecological components, and their linkages. Analyze impacts of global change on rivers ecosystems, develop skills related to synthesizing and interpreting literature and communicating science. Multivariate statistics in R (EN) Environmental datasets often contain numerous parameters. Multivariate statistics allow us to simultaneously explore, understand and model such datasets. This course provides conceptual introduction and guidelines for applying multivariate statistical tools using the R platform.
Hydrogeophysics (EN) This course aims to provide a solid methodological foundation for understanding the principles of geophysical techniques relevant for addressing hydrogeological and related environmental and engineering problems. The goal is to provide students with pertinent decision making capabilities. Hydrological risks and structures (FR) The course is an introduction to statistical hydrology with a focus on the hydrology of small mountain watersheds. The course includes a general introduction to risk management. It then introduces the student to extreme value theory and hydrological models. Physics and hydrology of snow (EN) This course covers principles of snow physics, snow hydrology, snow-atmosphere interaction, and snow modeling. It transmits detailed understanding of physical processes within the snow and at its interfaces with the atmosphere and the ground, and presents field, laboratory, and modeling techniques. Climate and water sensitive urban design (EN) This project-based course introduces students to the field of urban climate and hydrology, with a focus on nature-based solutions for the design of climate and water resilient cities. Sustainability robotics (EN) The goal of this course is to provide methods and tools of robotics in promoting sustainable development. The course is a balance between theoretical basics in robotics, associated case studies and project based learning. Image processing for Earth observation (EN) This course covers optical remote sensing from satellites and airborne platforms. The different systems are presented. The students will acquire skills in image processing and machine/deep learning to extract end-products from the images such as land cover or risk maps. Advanced satellite positioning (EN) All fundamental principles behind modern satellite positioning to acquire, track and evaluate direct and indirect satellite signals and process them in relation to example applications: Earth monitoring (landslides,…), high precision positioning (automated driving, robots,…) and time transfer. Sensor orientation (EN) Determination of spatial orientation (i.e. position, velocity, attitude) via integration of inertial sensors with satellite positioning. Prerequisite for applications related to remote sensing, environmental monitoring, mobile mapping, robotics, space exploration, smart-phone navigation, etc. Irrigation and drainage engineering (EN) The course aims at teaching the fundamentals of both irrigation and drainage techniques with particular attention to the soil water balance and related management, the materials, the construction methods as well as the environmental impacts and sustainability criteria of both practices. Biological Resource Recovery (EN) Principles and technologies of biological resource recovery from waste streams into valuable resources. Emphasis is placed on the microbial processes underlying these technologies, their engineering applications, and their role in advancing sustainable and circular environmental systems. Snow Science Winter School (WSL) (EN) The modern techniques and methods to measure snow properties in the field and in the laboratory are introduced by specialists in the corresponding field. The methods are applied in the field and in the laboratory and a report prepared using the measured data. Summer School: Forests in the Anthropocene (EN) The participants will reflect on their own scientific work with respect to other disciplinary methods and discuss possible benefits of interdisciplinary approach in their field. Moreover, students will further be able to learn the advanced methods used in the broad forestry field. Hands-on bioinformatics for microbial meta-omics (EN) This course will train doctoral students to use bioinformatic tools to analyse amplicon and metagenomic sequences. In addition, we will also touch upon meta-transcriptomics and meta-proteomics. EESS – CESS Seminar Course – option 1 (FALL) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 2 (FALL) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 1 (SPRING) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills EESS – CESS Seminar Course – option 2 (SPRING) (EN) Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. – Practice transferable skills, including active listening and broad scientific critical thinking – Presentation and communication skills Models for applied environmental economics (EN) Mainly based on the discussion of peer reviewed academic papers, the course introduces non economists to the main types of applied models used in environmental economic analysis: linear programming, partial and general equilibrium, game theory, and agent based models. Advanced topics in nuclear reactor materials (EN) To comprehend advanced aspects of materials science as applied to nuclear power (fission and fusion), to get acquainted with materials for advanced plants, advanced damage characterization and life-time assessments Nuclear computations lab (EN) To aquire hands-on experience with the running of large computer codes in relation to the static analysis of nuclear reactor cores and the multi-physics simulation of nuclear power plant (NPP) dynamic behaviour Sustainable Finance (EN) The Sustainable Finance course provides an overview of how climate change and sustainability concerns are reshaping financial markets, and of how financial markets can help address these challenges. Introduction to finance (EN) The course provides provides an introduction to valuation techniques, investment decisions, asset valuation and portfolio choice, financing decisions, derivatives pricing, and sustainable finance. Derivatives (EN) This course provides a detailed presentation of the standard models for the valuation and hedging of derivatives products such as European options, American options, forward contracts, futures contract and exotic options. Investments (EN) The course covers a wide range of topics in investment analysis Machine learning in finance (EN) This course aims to give an introduction to the application of machine learning to finance, focusing on the problems of portfolio optimization, return prediction, and textual analysis. A particular focus will be on deep learning and the practical details of applying deep learning models to finance. Accounting for finance (EN) The objective of the course is to provide participants with accounting mechanisms for understanding and anaalyzing the financial statements of a company. Financial applications of blockchains and distributed ledgers (EN) This course provides an introduction to Distributed Ledger Technology (DLT), blockchains and cryptocurrencies, and their applications in finance and banking and draws the analogies between Traditional Finance (TradFi) and crypto and the ways investors/traders can transact in those worlds. Probability and stochastic calculus (EN) This course gives an introduction to probability theory and stochastic calculus in discrete and continuous time. The fundamental notions and techniques introduced in this course have many applications in finance, for example for option pricing, risk management and optimal portfolio choice. Interest rate and credit risk models (EN) This course gives an introduction to the modeling of interest rates and credit risk. Such models are used for the valuation of interest rate securities with and without credit risk, the management and hedging of bond portfolios and the valuation and usage of interest rate and credit derivatives. Quantitative financial risk management (EN) This course is an introduction to quantitative risk management that covers standard statistical methods, multivariate models, risk measures, non-linear dependence structures (copula models), as well as credit risk. Ethical behavior in the financial industry (EN) We will focus on ethical dilemmas facing professionals in the financial industry. Cases based on real events will illustrate various kinds of transgressions. We will study what regulators and firms have put in place to mitigate these issues and propose some guiding principles for individual Financial intermediation (EN) This course provides a theoretical and practical overview of what financial institutions do, how they manage their risks, and how they are regulated. The course also discusses the causes and effects of financial crises, and how financial intermediation is affected by technological innovation. Open Economy Macroeconomics (EN) This course covers the basics of open-economy macroeconomic theory. It starts by the measurement and use of national income; it introduces exchange rates, interest rates and inflation in the short and long run. It then turns to fluctuations and the role of monetary and fiscal policies. Sustainable & entrepreneurial finance (EN) This course deals with the role of finance in the transition to a sustainable, low-carbon economy. Students learn how to apply asset allocation techniques to build sustainable portfolios, understand the entrepreneurial ecosystem, and discover the emerging asset class of impact investing. Advanced derivatives (EN) The course covers a wide range of advanced topics in derivatives pricing Venture capital (EN) The course applies finance concepts to the world of venture capital (VC). Students are introduced to all institutional aspects of the VC industry. Students analyze the relations between investors, general partners, and entrepreneurs, including limited partnership agreements as well as term sheets Financial big data (EN) The course introduces modern methods to acquire, clean, and analyze large quantities of financial data efficiently. The second part expands on how to apply these techniques and robust statistics to financial analysis, in particular to intraday data and investment strategies. Theoretical corporate finance (EN) The aim of this course is to expose students to important topics in the literature on corporate finance. The objective of the course is to give students a working understanding of key papers and to expose students to solution techniques to be applied in their own research. Empirical Asset Pricing (EN) This class is designed to give you an understanding of the basics of empirical asset pricing. This means that we will learn how to test asset pricing models and apply them mostly to stock markets. We will see which theories fare well and which ones do not. Information and Asset Pricing (EN) We study the role of information in equilibrium asset pricing models. We cover simple one-period models of incomplete and asymmetric information using competitive rational expectation equilibria and Bayesian-Nash equilibria. We extend to dynamic models. International Finance (EN) This is a doctoral level course introducing students to important topics in international finance. It also covers aspects of the recent financial crisis, such as market contagions, regulatory arbitrage and failure, stability issues of a currency union and of the banking system.
Dynamic Asset Pricing (EN) This course provides an advanced, research-oriented introduction to the methods and results of continuous-time (dynamic) asset pricing. Financial Econometrics II (EN) The course aims to give students the tools to write academic papers and is divided into two parts. The first part covers microeconometric methods including panel data, IVs, difference-in-differences, and regression discontinuity design. The second part covers structural estimations methods. Game Theory (EN) Game theory deals with multiperson strategic decision making. Major fields of Economics, such as Microeconomics, Corporate Finance, Market Microstructure, Monetary Economics, Industrial Organization, International Trade Theory all build on game theoretic foundations. Big Data and Machine Learning for Financial Economics (EN) This class is an introduction to Machine Learning and High-Dimensional Statistics in Finance. We start with a purely empirical approach, focusing first on high-dimensional regressions, then moving to kernel methods and deep learning, and then studying equilibrium implications. Asset pricing (EN) Its main objective is to rigorously develop the foundations of modern financial economics and asset pricing theory. While the focus of the course is theoretical, we will consider empirical evidence alongside. The course is designed for first-year PhD students in finance. Empirical Corporate Finance (EN) The aim of this course is to develop research capabilities in empirical corporate finance, introduce methodologies to
conduct empirical research in corporate finance, develop research ideas for term papers and dissertation topics. Sustainable Food: production, health & society (FR) The course presents various issues related to sustainable food: production, food security, nutrition and health, social and cultural issues. The interdisciplinary approach integrates social sciences and engineering sciences and introduces group work and scientific methodology. Sustainable Food: production, health & society (FR) The course offers an overview of issues linked to nutrition: sustainable production, food security, food safety, as well as food and health. The interdisciplinary approach integrates SHS with engineering sciences and introduces students to team work and to scientific methodology. Climate change A: causes, impacts, challenges (FR) The course deepens global climate-related issues: the climate system; the impacts of climate change; justice issues and governance ; climate objectives and policies. The interdisciplinary approach introduces group work and scientific methodology. Climate change B: causes, impacts, challenges (FR) The course deepens global climate-related issues: the climate system; the impacts of climate change; justice issues and governance; climate objectives and policies. The interdisciplinary approach introduces group work and scientific methodology. Diversity and Sustainability in Human Mobility (EN) Human and freight mobility in large cities is a complex process with dense population and many transport modes to compete for limited space. New emerging modes of transport, such as on-demand services, and new technologies, such as autonomous vehicles, create additional opportunities and challenges. Health A: Innovation, Equity, Sustainability (FR) The course provides an interdisciplinary examination of key global health challenges, focusing on biomedical innovations, pharmaceuticals, sustainability, mental health, and health policies. It offer a critical skillset to engineering students approaching these complex health challenges. Health B: Innovation, Equity, Sustainability (FR) The course provides an interdisciplinary examination of key global health challenges, focusing on biomedical innovations, pharmaceuticals, sustainability, mental health, and health policies. It offer a critical skillset to engineering students approaching these complex health challenges. Why do we live in a risk society? (FR) Are we living in a “risk society” ? To answer that question, we will analyze the various social processes (from the invention of probabilities to the rise of insurance companies, from the securing policies to the victims’ mobilisations) that contribute to the emergence of risk. Japan and China facing the challenge of modernization (FR) The course provides an introduction to the contemporary history of Japan and China. The success of Japan’s modernisation process, followed by the development of militarism, led to a confrontation with China, which was plagued by internal unrest and a regime of unequal treaties. Media, communication and culture (FR) This lecture would like to propose the creation of a knowledge about the history of media phenomenon and its involvements in Western society from the nineteenth to the twenty-first century. It provides the skills necessary to understand current events going back to their origins. State and human rights (FR) This course presents a basic introduction to the rights protecting citizens from government abuse. Social psychology and diverse societies (FR) This course examines the opportunities and challenges of multicultural societies: Students will be introduced to relevant theories and research in the field of intercultural social psychology. Artistic practices â cyber-criticism (FR) The class « Cyber-Critical Artistic Practices » proposes to question the contemporary implications of digital technology by the means of art. Philosophy of biology (FR) Identify and understand central issues in the philosophy of biology, notably about biological evolution and the emergence of life. Evaluate and compare crucial arguments in the debates. Synthesize the discussion and thus formulate and defend one’s own position. Musicology and aesthetics (FR) Recount the history of musical styles practiced in classical music of the 20th century. Understand and analyze the various contexts, musical languages and the currents of ideas. Know some of the major works of the classical repertory of the 20th century. Work and organisations – work collectives (FR) This course-seminar aims to address the collective organization of work from a sociological rather than a managerial perspective. It explores the past, present, and future of human labor in a context of profound transformation. History of energy: from windmills to nuclear power (FR) This seminar-course deals with the development of energy-related technologies in Switzerland in the 19th and 20th centuries. Thanks to the interactive analysis of period documents (sources), the student develops an awareness of the relationship between the technological and the social. Artistic practices – imagining and drawing (FR) This course offers students an overview of contemporary drawing through exploration and experience, and more specifically to think of drawing as an economy. Regular practice is accompanied by presentations and references mainly from the artistic field. Contemporary Russia: from the Empire to the USSR (FR) This course, through a thematic and chronological approach, examines the major events that shaped Russia and the Soviet Union between 1800 and 1940, as well as the profound territorial, social, and cultural transformations whose legacy continues to influence the contemporary world. Graphic Design – Illustrative approach (FR) The course offers a practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial Design – Initiation project (FR) The course consists in practical teaching that allows acquiring the bases of industrial design by confronting the students with the creation of an object. Wellbeing and Planetary Boundaries (FR) A course for future scientists and engineers who want to build judgement under complexity: how to set priorities, assess trade-offs, and contribute to wellbeing for all within planetary boundaries. Psychology and social cognition (FR) This course addresses the main contributions of social psychology in the field of social cognition: 1) modes of information processing, 2) the perception of self and others, 3) the activation and regulation of behavior, and 4) the relationships between cognition and emotion. Gender and representation (FR) This course contextualizes gender in daily practices to critique it and to expose the lines of force that run through it and the hierarchies it creates. Students will develop their critical judgment to enable them to defend their theoretical and political positions.
Introduction to affective and social psychology (FR) This course introduces the foundations of affective and social psychology. It draws on key theories, fundamental research, and core methods in the field to understand how affective, motivational, and social factors shape behavior. Film history and theory (FR) JAPANESE CINEMA, IMAGINATION OF DISASTER: This course aims to offer a history of cinema through the prism of Japanese cinema, and different critical and theoretical approaches linked to the production of representations of disaster. Business law (FR) This course provides legal tools for the analysis of concrete economic situations and the identification of relevant rules from a business perspective. Science and Politics in Times of Crisis (EN) This course examines the role of scientific knowledge during high-stakes political crises related to health, climate, and the economy. In a group project, students apply evidence-informed policymaking frameworks to design a crisis management plan. Introduction to cognitive psychology (FR) This course introduces the foundations of cognitive psychology through the study of major cognitive processes such as attention, perception, learning, and memory. It draws on key theories, fundamental research, and core methods in the field to understand cognition. Ancient Mediterranean: gods, heroes and monsters (FR) The course explores the myths and founding texts of ancient cultures (the biblical world, Greece, Rome, Egypt). By exploring their meanings and how they have been received, it aims to unfold a history of the imagination that helps us better understand the diverse nature of our own culture. Philosophy of science (FR) This course offers to identify and understand central issues in the philosophy of science, for instance the debate on different models of scientific explanation. Evaluate and compare crucial arguments in the debates. Present a position/a debate and manage the discussion. Musicology and history of music (FR) Recount the historical practices of improvisation from early music of the Renaissance to present modern day. Understand and analyze the various contexts, styles, musical genres in which improvisation is at the forefront. Know some of the major works from the classical repertory and the treatises. Contemporary Iran (FR) This course is an introduction to contemporary Iran. It emphasizes on the three dimensions of Iranian identity: nationalism (Iranian culture), Shi’ism, Western influence. History of international relations (FR) This course examines international relations during the Cold War and discusses the enduring dynamics that have emerged from this global history and continue to shape the world today. Competing with China (FR) The course raises awareness on the implications of China’s emergence as an economic and technological power by developing a critical approach on the domestic and international challenges created by such a transition. What are scandals made of ? (FR) The aim of this course is to understand these recurrent and disruptive social phenomena that constitute scandals, affairs and controversies, which have in common to be made of mobilisations. Contemporary international history (FR) Brain, mind and society (FR) This course aims to address topics related to research on brain causes of human actions. The course will introduce to fundamental concepts in psychology, cognitive and social neurosciences and the links between brain and mental illness. Health, populations and society (FR) This course uses the topic of tobacco as a guideline for exploring the various dimensions of a major public health problem and its multiple implications. The teachers will extend the discussion of tobacco products to other similar issues. Global health issues will be addressed. Feminist Studies of Science and Technologies (FR) This course proposes to explore the field of Feminist Science and Technology Studies
(Feminist STS) in order to learn how to decipher issues of gender, race and class related to science and technology. Sports competitions and environmental issues (FR) This curse proposes to work on the relationship between international sport competitions and environmental issues (from the 1920s to the present day). For the sake of consistency, the focus will be on the Olympic Games (summer and winter). Contemporary Africa (FR) This course is an introduction to the central questions at stake in contemporary Africa. Considering the sheer impossibility of “understanding Africa”, the course will explore case-studies and themes, starting with the image of Africa in the world, using the tools of historical analysis. Chine : une nouvelle puissance globale ? (FR) The course examines contemporary China, from Deng Xiaoping’s economic opening to its rise as a global power. It explores its industrial transformation, internationalization through FOCAC and the Belt and Road Initiative, as well as its internal and external political and geopolitical challenges. History and theory of photography (FR) The class offers an introduction to the history of photography trough the presentation of ten key notions, analysed historically from the 19th to the 21st century. Musical theory and creativity (EN) This course provides an introduction into music theory and analysis, composition, and creativity, and combines theoretical teaching with hands-on practical exercises and music making.
Human evolutionary biology (FR) Evolutionary psychology is a discipline at the intersection of biology, psychology, anthropology, and the social and natural sciences that examines human psychological traits and behaviors from an evolutionary perspective. Learning and collaboration in projects (EN) This course addresses the theoretical and practical basis of learning and how to facilitate learning through projects. Active exploration of models, contexts and tools used in project-based learning will help you to develop cognitive and collaboration skills applicable to any project-based context.
Introduction to linguistics (FR) This introductory course is devoted to linguistics, it focuses on the units, rules and functions of human languages. Infrastructures et sciences sociales (FR) This course offers a perspective from social sciences to analyzing infrastructures (from planning to their governance). It will address issues of ecology, accessibility, contestation, risks, and citizenship based on different case studies worldwide. Global issues of the digital society (FR) The course presents current global issues related to instant communication and social media. The interdisciplinary approach integrates humanities and social sciences, as well as engineering sciences and introduces students to group work and the scientific approach. Artificial intelligence and society (FR) This course integrates social sciences and humanities with engineering sciences, and introduces students to the social, technical and political issues surrounding artificial intelligence. Science, Technology & Vulnerability (FR) This course explores how science and technology can address extreme vulnerability caused by poverty, crises, and conflict in the context of climate change. The course describes key principles for designing sustainable solutions tailored to the needs of affected populations. Equality and technology (FR) This course explores the meaning of equality, its realization in society, and its relation to technology. Sustainable Management and Finance (EN) This course provides the foundations of sustainable management and finance. It details how the transgression of planetary boundaries affects our economic organization, reviews the responsibility of corporations and examines the levers of action for the State and the Finance sector Science fiction and digital dystopias (FR) The aim of this course is to study the various manifestations of totalitarian worlds in (science) fiction. More specifically, we will examine how writers narrate human alienation from the digitalâas well as the anthropological functions of such narratives. Energy and innovation (FR) This course offers an introduction to the technical, social, and economic fundamentals of energy. You will acquire core knowledge to engage in informed discussions on energy-related topics. The course also explores the role of innovation. The Energy Transition : challenges and opportunities (FR) This course explores the energy transition from a system based on fossil fuels to a model based on decarbonised energy sources, sobriety and efficiency, and highlights the main technological, socio-economic and geopolitical issues involved. Mediterranean Antiquity: the past in the present (FR) Pop culture has always drawn, and continues to draw, on the myths and figures of the ancient Mediterranean. Egypt, Greece and Rome inspire video games as well as mainstream films, series, comics and novels. The aim of this course is to analyse such works. The graphic novel genius: Alan Moore (FR) This course aims to cover the works of comic book writer Alan Moore, arguably the most influential writer of all time, and to introduce students to concepts of comic book analysis, from the simplest to the most complex, in order to demonstrate the richness of this medium. Utopian and dystopian environments (FR) This course will analyze the literary genres of utopia and dystopia through the prism of ecopoetics and environmental issues, in a French-language corpus that crosses science fiction, the anticipation narrative and the post-apocalpytic novel. Data-driven interface design (EN) This course explores how data from digital interactions can be analyzed to improve design, usability, and engagement. Students will learn quantitative methods to collect, organize, and interpret data, generating insights to enhance digital services and user experiences.
Video games and society (FR) This class is an introduction to sociological perspectives on culture through the study of video games. Relying on research on the production of culture and audience studies, it sheds lights on its uses and its economics. Graphic Design – Experimental approach (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial design – form, function and materials (FR) Practical teaching that allows acquiring the bases of industrial design by confronting the students with the creation of an object. Law of technological research (FR) Between law and ethics, this course presents the standards that govern research and, more specifically, research involving human beings. Students will acquire a global and practical vision of this subject. Digital Health and International Human Rights Law (EN) The proposed course provides an introduction to international human rights law (IHRL), its interpretation and mechanisms, and analyses its interactions with the use of digital solutions and AI in healthcare Visual culture, image history (FR) This course offers a material and environmental approach to images and media from the nineteenth to the twentieth century (magic lantern, photography, film, digital media, AI, etc.). Global environmental history (FR) This course focuses on the debates and theories around the concept of the Anthropocene. It offers a critical analysis of the human origins of climate change and explores the political implications of this phenomenon for global environmental management. Ancient Mediterranean: Love, war and death (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions helps us to better understand the heterogeneous nature of our own culture. Physics and philosophy in the 20th century (FR) Philosophy of nature : Physics and philosophy in the 20th century. The course considers the philosophy of physics from Newton via Einstein to quantum physics Sciences, raison et foi (FR) The purpose of this course is to examine the various relationships that exist between science and religion. Modern India: politics, society and religion (FR) The course offers an overview of modern Indian history, from the colonial era to the present, to help students understand the unique characteristics and challenges of this vast country. Topics covered include colonialism, the partition of India and Pakistan, and the development of the modern state. Engineers and society – Careers and prospects (FR) This course-seminar gives participants the opportunity to understand how the profession has evolved and to reflect on their future role as engineer-managers in a context of profound change. Artistic Practices – Artificial intelligence (EN) Artificial Intelligence (AI) is changing how we imagine stories, experiences, and interactions. Rather than treating AI as a threat to existing creative practices, we will explore how different AI tools can open new ways of thinking, making, and prototyping. China, Korea and Japan after World War II (FR) The course examines the development of East Asian countries during the Cold War: the victory of the Communist Party in China, the reconstruction and second modernisation of Japan, and the wars in Korea and, if time allows, Vietnam. Thinking differently about video games (FR) The objective of the course is to develop a methodology for analyzing video games, with the help of Games Theory, Fiction Theory and Gameplay Theory. The aim will be to present how video games can be used to illuminate knowledge and, in turn, to be illuminated by it. Design graphique – approche communicative (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Design industriel – projet expérimental (FR) The course offers an exploration and experimentation of the specificities of industrial design by engaging students in the creation of an object. It is a practice-based course centered on the development of a semester project. Transport and energy: historical approaches (FR) This workshop-course deals with the development of mobility-related technologies in Switzerland in the 19th and 20th centuries. Thanks to the interactive analysis of period documents (sources), the student develops an awareness of the relationship between the technological and the social. Media and society (FR) This course explores the history of superheroes with the aim of raising students’ awareness of the processes by which cultural phenomena are constructed and empowered within the media sphere. It provides the skills to understand current phenomena by tracing them back to their origins. Ancient Mediterranean: bringing myths up to date (FR) In the form of group projects, the course explores the founding texts of ancient cultures (Ancient Near East, Greece, Rome, Egypt).
At the end of the semester, the groups present their work in a fun and educational way. Capitalism, Socialism, and the History of Ideas (FR) This course provides an introduction to the history of economic ideas through an examination of the major debates that have opposed proponents of capitalism, socialism, and alternative forms of economic organization. Social psychology: Social perception (FR) This Social Psychology course covers the social-cognitive processes involved in social judgment and impression formation. Introduction to intellectual property law (FR) This course provides basic knowledge about the various intellectual property rights that every engineer and scientist has to deal with. Students will become familiar with the legal systems pertaining to patents, trademarks and copyright. Science, Technology and Society (FR) This course will explore the complex relationships between science, technology and society. It will enable students to acquire theoretical and methodological tools drawn from the Social Studies of Science and Technology (STS), in particular through an investigation of a controversy.
Memory sciences (FR) Describe cognitive and cerebral processes underlying memory and self processes.
Identify differences and similarities between neurobiological and clinical approaches.
Understand theoretical and clinical concepts underlying psychoanalysis and their scientific implications.
Darwin, religion and science (FR) This course takes the long history of opponents of Darwin and Darwinism (creationists, neo-creationists, supporters of intelligent design) to try to understand their strategies and arguments.
Innovation and emerging markets (FR) The course raises students’ awareness of the importance of emerging markets in the global innovation landscape. It provides modeling tools for analyzing product and service innovations in the context of emerging markets. Digital humanities (FR) This course explores how the Humanities are being transformed in the age of AI and big data. Each session focuses on the future of a specific discipline (history, philosophy, art history). Students develop a digital prototype (Vibe coding) to accelerate research and training in SHS. Foreign relations and Switzerland (FR) Based on a critical analysis of archives, this course will address the major stages in Swiss History in the 19th-20th centuries through the scope of the country’s international relations. Video games and gamification (FR) This course offers the opportunity to acquire skills in video game creation, while inviting students to apply their knowledge to a collective project of gamifying scientific content. Anthropology of belief (FR) This course is an introduction to the question of conspiracy theories especially in the field of science Perspectives critiques de la durabilité (FR) This course will start from the paradigms of sustainability and contemporary social and political consequences. We will take a critical approach to the various theories, identify the actors who promote them and study the social movements.
Manufacturing artistic identities from the 19th to the 21st centuries (FR) The course offers an introduction to the history of contemporary art from the 19th to the 21st century, allowing the works to be approached from an aesthetic and social point of view. Design for sustainability I (EN) This course explores and practices some of the fundamental tools of designing for sustainability with a focus on the sustainability, desirability, and economic viability of solutions. Design for sustainability II (EN) This course explores and practices some of the fundamental tools of designing for sustainability with a focus on the sustainability, desirability, and economic viability of solutions. Artistic practices: field studies, film practice I (FR) This course consists in two options, in english and in french: ‘Elsewhere Encounters’ will explore different approaches of field studies from within the field of artistic practices ; ‘Film’ addresses cinematographic techniques and will produce a short film. Media culture I (FR) This course provides theoretical and methodological foundations for a sociological approach of media (particularly sports media). It helps students to think critically the media culture and its effects. Media culture II (FR) This course provides theoretical and methodological foundations for a sociological approach of media (particularly sports media). It helps students to think critically the media culture and its effects. Graphic design I (FR) This course offers practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. Industrial design I (FR) This course introduces students to the fundamentals of industrial design through the design and development of a functional object. The project concludes with the realization of a functional prototype, produced in collaboration with a local artisan or industrial partner. Thinking the nature I (FR) The course in an open approach to the constructions of Nature by different sciences and cultures. It emphasises the plurality of appearances of the object called “Nature” and the roles which it plays or are given to it, notably in opposition to the artificial. Law and technology I (FR) This course presents the legal framework applicable to certain issues in technical fields, such as construction law, computer law, biotechnology, data protection, digitalisation, robotization. Graphic design II (FR) Practical teaching that allows to acquire the bases of graphic design and to understand the stakes, the various fields of application, the techniques and the conventions of that discipline. The ethics of engineering I (EN) Working in groups, students provide an ethical analysis of technological applications. They study how their features combine with the socio-material environment to impact values, and what solutions are available to change this impact in desirable ways. Industrial design II (FR) This course introduces students to the fundamentals of industrial design through the design and development of a functional object. The project concludes with the realization of a functional prototype, produced in collaboration with a local artisan or industrial partner. Political Systems in Central and Eastern Europe I (EN) This course compares political regimes in Central and Eastern Europe, linking domestic dynamics with external constraints. It examines authoritarian, hybrid, and democratic trajectories, including Central European democracies and Swiss direct democracy.
Political Systems in Central and Eastern Europe II (EN) This spring continuation guides students through an individual research project on political regimes in Central and Eastern Europe, focusing on external constraints, economic dependence, sanctions, authoritarian adaptation, hybrid regimes, and comparative democracies, including Switzerland. Law and technology II (FR) This course presents the legal framework applicable to certain problems. This course presents the legal framework applicable to certain problems in technical fields, such as construction law, computer law, biotechnology, data protection, digitalisation, robotization. Humans/machines (FR) This course combines cultural (particularly literary and artistic), social and scientific approaches to explore the issues, perspectives and problems raised by the hybridization of human and machine. Philosophical perspectives on the exact sciences I (EN) The course considers central themes in the philosophy of science. Starting from the debate between Leibniz and Newton about space and time, we move on to the transition from classical to quantum physics, the explanatory role of mathematics and philosophical questions about artificial intelligence. Picture history I (FR) The class proposes to examine Expo 64, the Swiss National Exhibition held in Lausanne in 1964, inviting students to engage with its remnants in order to revive its history and shed light on its contemporary resonance. Myths of the ancient Mediterranean Sea I (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions, it helps us better understand the heterogeneous nature of our own culture. L'(in)action pro-environnementale I (FR) This Social Psychology course examines the gap between intentions and behaviors, the barriers to individual and collective action, and the moral justification mechanisms that allow inaction to persist despite awareness of environmental issues. L'(in)action pro-environnementale II (FR) This Social Psychology course examines the gap between intentions and behaviors, the barriers to individual and collective action, and the moral justification mechanisms that allow inaction to persist despite awareness of environmental issues. Montreux Jazz, Classical and Contemporary Music I (FR) The aim of this course is to produce a 15-minute audiovisual documentary on a musical topic of the student’s choice, ranging from the 17th century to the present day (classical music, jazz, and other musics), with the option to work with the Montreux Jazz Festival archives. Montreux Jazz, Classical and Contemporary Music II (FR) Continuation of the HUM-421(a) course, including the project Understanding modern Switzerland I (EN) This course provides a general introduction to Swiss history, its culture, its economy and its political system since 1848 until today. Digital health & social psychology I (EN) Does more data mean better health? Drawing on health and social psychology, this course questions the biomedical model as socially situated, questioning whether the promises of digital health to improve wellbeing are supported by the research behind them. Digital health & social psychology II (EN) Does more data mean better health? Drawing on health and social psychology, this course questions the biomedical model as socially situated, questioning whether the promises of digital health to improve wellbeing are supported by the research behind them. Critical thinking I (EN)
This course will develop logical reasoning and argumentation skills to enable you to influence decision making. You will achieve this by learning how to represent and communicate your reasoning as arguments, and by continuously practicing logical reasoning and problem solving in teams.
Science, technology and environment II (EN) Science and technology have profoundly transformed our world. In the current crisis, they emerge as both solutions and problems. The course explores the complex relations between science, technology, and ecological issues. Students will conduct their own inquiry of human-transformed environments. History of globalization I (EN) Globalization is the linguistic omnivore of our times. This course addresses the long history of worldwide encounters and goes behind the rosy vision of a global village. It gives particular attention to inequalities and to the men and women who fought for alternatives to capitalism. Science, technology and environment I (EN) Science and technology have profoundly transformed our world. In the current crisis, they emerge as both solutions and problems. The course explores the complex relations between science, technology, and ecological issues. Students will conduct their own inquiry of human-transformed environments. Philosophy of life sciences I (FR) Understand and discuss central issues in the philosophy of life sciences, e.g. that of reductionism or why free will might be an illusion. Transpose problems and arguments from one debate to another. Evaluate the impact of the scientific worldview on us. Philosophie des sciences de la vie II (FR) Evaluate the main positions in a chosen philosophical debate. Develop in your group a solid approach to one or more philosophical problems of that debate. Defend your analysis and conclusions. How people learn: Designing Learning Tools I (EN) The students will understand the cognitive and social factors which affect learning – particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. How people learn: Designing Learning Tools II (EN) The students will understand the cognitive and social factors which affect learning – particularly in science and engineering. They will be able to use social research techniques as part of the design process to understand end users. China: the rebirth of a great power I (FR) Through the lens of how China becoming global, it will provide understanding, not only on its impacts to the world, but also on how Chinese globalization has brought transformations to the contemporary Chinese society. Managing organizations I (FR) This class is about organization management, going from entrepreneurship to people management in corporations, public administration or non profit organization studies. In particular, participants will learn to manage projects and practice leadership. Sciences and religions I (FR) The aim of this course is to explore the complex relationships between science and religion (conflict, concordism, complementarity) Scientific research in all it forms I (FR) This course offers a multidisciplinary perspective on research. While addressing this topic, speakers from different faculties will shed light on their own way of practicing research.
Passive knowledge of French required.
China: the rebirth of a great power II (FR) Through the lens of how China becoming global, it will provide understanding, not only on its impacts to the world, but also on how Chinese globalization has brought transformations to the contemporary Chinese society. Contemporary Japan I (EN) Introduction into the culture of Japan – its thought and way of life – designed to foster future study of the archipelago. We elucidate the specificities of a Japanese identity that is imbued with both tradition and openness to innovation, to create sustainability – society, economy, environment. Contemporary Japan II (EN) Introduction to the culture of Japan – its thought and way of life – designed to foster future study of the archipelago. It elucidates the specificities of a Japanese identity that is imbued with both tradition and openness to innovation, for creating sustainability – society, economy, environment. Sciences and religions II (FR) Can one be a scientist and a believer at the same time? Is science the enemy of faith? Should a scientist always be an atheist or an agnostic? These are some of the questions dealt with in this seminar. Its purpose is to present the various forms of the debate between science and religion. Digital urban history: Lausanne Time Machine I (FR) This course is part of a series of interdisciplinary and collaborative courses open to students from UNIL and EPFL.
It focuses on urban history through the application of computational methods and the development of a digital project in group. Artistic practices: field studies, film practice II (FR) This course consists in two options, in english and in french: ‘Elsewhere Encounters’ will explore different approaches of field studies from within the field of artistic practices ; ‘Film’ addresses cinematographic techniques and will produce a short film. Myths of the ancient Mediterranean Sea II (FR) The course explores the myths and the main texts of ancient cultures (Biblical World, Greece, Rome, Egypt). Exploring their meanings, their receptions, it helps us better understand the heterogeneous nature of our own culture. Philosophical perspectives on the exact sciences II (EN) The course considers central themes in the philosophy of science. Starting from the debate between Leibniz and Newton about space and time, we move on to the transition from classical to quantum physics, the explanatory role of mathematics and philosophical questions about artificial intelligence Digital urban history: Lausanne Time Machine II (FR) This course is part of a series of interdisciplinary and collaborative courses open to students from UNIL and EPFL.
It focuses on urban history through the application of computer methods and the development of a digital project. Scientific research in all it forms II (FR) Au cours d’un travail pratique, l’étudiant aura l’occasion de s’initier à une méthode ou technique de recherche qui lui est peu familière (ex: entretien semi-directif, questionnaire, enquête de terrain, analyse conceptuelle, recherche historique, etc.). The ethics of engineering II (EN) This module focuses on the idea of value in design and the ethics of artefacts more in general. Managing organizations II (FR) This class is about organization management, going from entrepreneurship to people management in corporations, public administration or non profit organization studies. In particular, participants will learn to manage projects and practice leadership. History of globalization II (EN) Globalization is the linguistic omnivore of our times. This course addresses the long history of worldwide encounters and goes behind the rosy vision of a global village. It gives particular attention to inequalities and to the men and women who fought for alternatives to capitalism. Humans/machines II (FR) This course combines cultural (particularly literary and artistic), social and scientific approaches to explore the issues, perspectives and problems raised by the hybridization of human and machine. Thinking the nature II (FR) The course in an open approach to the constructions of Nature by different sciences and cultures. It emphasises the plurality of appearances of the object called “Nature” and the roles which it plays or are given to it, notably in opposition to the artificial. Understanding modern Switzerland II (EN) Based on the knowledge acquired during the fall semester course (Understanding modern Switzerland I), students are asked to work by group of 3-4 students and prepare a paper on a topic previously discussed with the teachers. Picture history II (FR) The seminar proposes to examine Expo 64, the Swiss National Exhibition in 1964, inviting students to engage with its remnants in order to revive its history and shed light on its contemporary resonance. Economic growth and sustainability II (EN) In this seminar, students work in groups to prepare a report illustrating material taught in the first semester. Specifically, the groups will choose a significant environmental impact or resource use, and apply decomposition analysis to understand the role of the underlying drivers. Economic growth and sustainability I (EN) This course examines growth from various angles: economic growth, growth in the use of resources, need for growth, limits to growth, sustainable growth, population growth. Although grounded in economics, it takes up elements from many other disciplines. Media in Transition: History and Issues in Discourse I (FR) Dive into the transformations of news media in the 20th and 21st centuries. In this project-based course, you will develop a critical perspective on journalism (from print to today’s digital practices), meet practitioners, and learn how to create an online exhibition. Media in Transition: History and Issues in Discourse II (FR) Dive into the transformations of news media in the 20th and 21st centuries. In this project-based course, you will develop a critical perspective on journalism (from print to today’s digital practices), meet practitioners, and learn how to create an online exhibition. Ecological transition: theory and practice I (FR) This course, taught in English, explores the challenges of the ecological transition. It covers various topics (climate, biodiversity, energy, transition theories, sustainable business models, etc.) and includes field trips as well as partnerships with local stakeholders involved in the transition. Ecological transition: theory and practice II (FR) This course, taught in English, explores the challenges of the ecological transition. It covers various topics (climate, biodiversity, energy, transition theories, sustainable business models, etc.) and includes field trips as well as partnerships with local stakeholders involved in the transition. Emotion, value, and life-defining choices I (EN) Most of us aspire to live meaningful lives. Yet, many of us would struggle to explain what a meaningful life is. This course provides philosophical tools and frameworks useful to understand our aspiration for meaning.
Emotion, value, and life-defining choices II (EN) In this master’s project seminar, students prepare a high-quality article embodying the philosophical ideals of clarity, concision, and aspiration to truth. Students also defend the claim made in their article by delivering a professional presentation.
Critical thinking II (EN) Critical Thinking II (HUM 484) builds on concepts acquired in Critical Thinking I (HUM 425). Please read HUM 425 for Critical Thinking I & Critical Thinking II course contents, transversal skills, learning outcomes, and course methodologies. These two courses are offered together only. Comment enseigner la durabilité I (FR) Get involved in sustainability education by exploring learning theories, facilitation, and reflection on the education ecosystem that will help you develop your mindset, knowledge and skills to teach complex problems in the sustainability course for Bachelor students (ENV-101). Médiation scientifique I (FR) This course is an introduction to the theory and practice of science outreach and public engagement. This year, it will culminate in the creation and delivery of an educational and interactive workshop for a group of young people. Writing and Thinking with Generative AIs I (FR) How do generative AIs transform our ways of reading, writing, and thinking?
To address these questions, we need to analyze AI-assisted writing processes using the concepts and methods of textual linguistics and genetic criticism. Médiation scientifique II (FR) This course is an introduction to the theory and practice of science popularization. Writing and Thinking with Generative AIs II (FR) How do generative AIs transform our ways of reading, writing, and thinking?
To address these questions, we need to analyze AI-assisted writing processes using the concepts and methods of textual linguistics and genetic criticism. Comment enseigner la durabilité II (FR) In this semester-long group project, you will explore teaching practices within a large-scale sustainability course. Observation, problem formulation and group preparation and reflection on teaching sustainability will help you develop strategies to support learning of complex problems. Theoretical Foundations of Learning Sciences 1 (EN) How do people learn and how can we support learning? This is part 1 of a two-part course that provides an overview of major theoretical perspectives that attempt to describe how learning works, and serves as an introduction to interpreting education as a means of designing learning environments. Theoretical Foundations of Learning Sciences 2 (EN) How do people learn and how can we support learning? This is part 2 of a two-part course that provides an overview of major theoretical perspectives that attempt to describe how learning works, and serves as an introduction to interpreting education as a means of designing learning environments. Introduction to Methods in Learning Sciences 1 (EN) This is part 1 of a two part course that provides students with knowledge and skills in collecting, processing and analyzing educational data, including different lenses to view the nature of inquiry in the field, research designs, and an overview of quantitative and qualitative methods. Introduction to Methods in Learning Sciences 2 (EN) This is part 2 of a two part course that provides students with knowledge and skills in collecting, processing and analyzing educational data, including different lenses to view the nature of inquiry in the field, research designs, and an overview of quantitative and qualitative methods. JDPLS Winter school (EN) Two-day Winter School in Emmetten, Switzerland with JDPLS thesis directors and students. Students presented their recent research and took part in small-group discussions. Two keynote speakers gave presentations and joined discussions with students JDPLS Summer school (EN) Two-day Summer School , location TBD with JDPLS thesis directors and students. Students presente their recent research and take part in small-group discussions. Two keynote speakers will give presentations and join discussions with students. Advanced analysis I – real analysis (FR) Study of the fundamental concepts of analysis, differential and integral calculus Advanced analysis I (FR) In this course, we will study the fundamental concepts of real analysis, and the calculus of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) Study the fundamental concepts of analysis, and the differential and integral calculus of real-valued functions of one real variable. Analysis I (German) (FR) Study of fundamental concepts of analysis and differential/integral calculus of univariate functions.
Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (English) (EN) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of a real variable. Analysis I (FR) We study the fundamental concepts of analysis, calculus and the integral of real-valued functions of one real variable. Analysis I (flipped classroom) (FR) Study the fundamental concepts of analysis, and the differential and integral calculus of real-valued functions of one real variable. Advanced analysis II – vector analysis (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Advanced analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (English) (EN) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Analysis II (FR) The course studies fundamental concepts of analysis and the calculus of functions of several variables. Advanced linear algebra I – vector spaces (FR) The aim of this course is to the basic notions of linear algebra (for future mathematicians) and provide rigorous proofs of the main results on this topic. Advanced linear algebra I (FR) The purpose of this course is to introduce the basic notions of linear algebra and to prove the main results of the subject. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear algebra (english) (EN) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear Algebra (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. Linear algebra (flipped classroom) (FR) The purpose of the course is to introduce the basic notions of linear algebra and its applications. This class is given with a flipped design. Algebra I – fundamental structures (FR) The aim of this course is to introduce and study the basic notions of abstract algebra. Advanced linear algebra II – diagonalization (FR) The purpose of the course is to introduce the basic notions of linear algebra and to prove rigorously the main results of the subject. Advanced linear algebra II (FR) The purpose of this course is to introduce some basic notions of linear algebra and to rigorously prove the main results in the field. Geometry for architects (FR) This course introduces geometry through its key concepts, systems, and modes of representation. It explores the link between manual geometry and digital tools, from constructing forms to their transformation, fabrication, and automation. Probability and statistics (FR) The course introduces the basic notions of probability and statistical inference, with an emphasis on the main concepts and the most commonly used methods. Mathematics (FR) This course aims at giving the basic mathematical knowledge needed for architecture studies in an engineering school. Analysis III (FR) Vector Calculus. Complex Analysis. Analysis III (EN) The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in solving multidisciplinary problems in scientific engineering. Analysis III (for SV, MT) (FR) The course studies the fundamental concepts of vector analysis and Fourier analysis with a view to their use in other courses and for solving multidisciplinary problems in science and engineering. Analysis III (FR) The course studies the fundamental concepts of vector analysis and Fourier analysis with a view to their use in solving multidisciplinary problems of scientific engineering. Analysis III (for IC) (EN) The course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in solving multidisciplinary problems in scientific engineering. Analysis IV – complex analysis (EN) This course provides a rigorous introduction to complex analysis in one variable, emphasizing the interplay between analytic, geometric, and topological ideas. Students will develop both a conceptual understanding of the main theorems and practical techniques for analyzing complex functions.
Analysis IV (FR) At its core, it is a functional analysis course for physicists and covers the basics of measure theory, function spaces and linear operators. Analysis IV (for SV, MT) (FR) This course is an introduction to complex analysis, Laplace transforms, tempered distributions and their Fourier transform, and to their use in the resolution of ordinary differential equations and partial differential equations. Analysis IV (for EL, GM, MX) (FR) This course serves as an introduction to the theory of complex analysis, Fourier series and Fourier transforms, the Laplace transform, with applications to the theory of ordinary and partial differential equations. These tools play an integral role in most branches of science and engineering. Analysis IV (EN) The course studies the fundamental concepts of complex analysis and Laplace analysis with a view to their use to solve multidisciplinary scientific engineering problems. Analysis III – Lebesgue, Fourier, vector fields (FR) The course covers the following topics:
-Vector calculus
-Lebesgue integral
-Fourier Analysis
Algebra II – groups (FR) This course deals with group theory, with particular emphasis on group actions and notions of category theory. Analyse numérique et optimisation (FR) To learn how to solve numerically various mathematical problems. The theoretical properties of these methods will be investigated. Differential geometry I – curves and surfaces (FR) This course is an introduction to classical differential geometry, which studies the geometric properties of curves and surfaces in the Euclidean space. Algebra III – rings and fields (FR) This is an introductory course in ring and field theory. Topology I – point set topology (FR) We’ll start by seeing how the notion of continuity for functions between Euclidean spaces generalizes to functions between metric spaces. We’ll then study in detail the elegant and powerful axiomatization of these notions in the framework of topological spaces. Topology II – fundamental groups (FR) We study the topological notions of union and quotients of spaces; we discuss covering spaces and fundamental groups further, The notion of cell attachement is introduced and the Seifert-van Kampen Theorem is proven. Examples of surfaces illustrate the techniques. Probability I (FR) The course is an introduction to probability theory. We aim to introduce the modern formalism (based on the notion of measure), to connect it with the ‘intuitive’ aspect of probabilities, but also to become familiar with the probabilistic way of thinking. Probability and statistics (for IC) (FR) An introduction to probability theory and statistics. Probability and statistics (FR) The course is an introduction to probability and statistics for physicists. Probability and statistics (FR) This course covers elementary notions of probability theory and statistics, such as inference, tests, and regression. Probability and statistics (FR) This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression. Probability and statistics (FR) This course teaches the basic concepts of probability theory and statistics, such as inference, testing and regression. Probability and statistics (for SV) (EN) Introduction to notions of probability and basic statistics. Statistics (FR) This course provides an introduction to the mathematical treatment of the theory of statistical inference using the concept of likelihood as a unifying theme. Advanced numerical analysis I (EN) Construction and analysis of numerical methods for the solution of problems from linear algebra, integration, approximation, and differentiation.
Numerical analysis (FR) This course presents numerical methods to solve mathematical problems such as systems of linear and nonlinear equations, function approximation, integration and differentiation, and differential equations. Numerical analysis (EN) The students will learn key numerical techniques for solving standard mathematical problems in science and engineering. The underlying mathematical theory and properties are discussed. Numerical analysis (FR) This course introduces and analyzes numerical methods for solving mathematical problems such as linear and nonlinear systems, approximation of functions, integration and differentiation, as well as differential equations. Numerical analysis (EN) The course presents numerical methods for solving mathematical problems such as systems of linear or nonlinear equations, function approximation, integration and differentiation, and the solution of differential equations. Discrete mathematics (EN) Study of structures and concepts that do not require the notion of continuity. Graph theory, or study of general countable sets are some of the areas that are covered by discrete mathematics. Emphasis will be laid on structures that the students will see again in their later studies. Discrete optimization (EN) This course is an introduction to linear and discrete optimization.
Warning: This is a mathematics course! While much of the course will be algorithmic in nature, you will still need to be able to prove theorems. Introduction to optimization and operations research (EN) Introduction to major operations research models and optimization algorithms Ordinary differential equations (FR) The course gives a rigorous introduction to the main topics of the theory of ordinary differential equations (ODE’s). ODE’s are fundamental to the theories of dynamical systems and partial differential equations. Some applications in those fields will be studied. Functional analysis I (FR) Some basic concepts of linear functional analysis: bounded operators, compact operators, spectral theory for symmetric and compact operators, Hahn-Banach theorem, the open mapping and closed graph theorems.
Measure theory (EN) This course provides an introduction to the theory of measures and integration on abstract measure spaces. Introduction to partial differential equations (EN) This is an introductory course on Elliptic Partial Differential Equations. The course will cover the theory of both classical and generalized (weak) solutions of elliptic PDEs. Algebra (EN) This is an introduction to modern algebra: groups, rings and fields. Algebra IV – rings and modules (EN) Ring and module theory with a major emphasis on commutative algebra and a minor emphasis on homological algebra.
Number theory I.b – Analytic number theory (EN) The aim of this course is to present the basic techniques of analytic number theory. Representation theory I – finite groups (EN) This is a standard course in representation theory of finite groups. Algebra V – Galois theory (EN) Galois theory lies at the interface of Field Theory and Group Theory. It aims to describe the algebraic symmetries of fields. We will focus on Galois theory for finite field extensions and some applications. Set theory (EN) Set Theory as a foundational system for mathematics. ZF, ZFC and ZF with Atoms. Relative consistency of the Axiom of Choice, the Continuum Hypothesis, the reals as a countable union of countable sets, the existence of a countable family of pairs without any choice function, and so on. Differential geometry II – smooth manifolds (EN) Smooth manifolds constitute a certain class of topological spaces which locally look like some Euclidean space R^n and on which one can do calculus. We introduce the key concepts of this subject, such as vector fields, differential forms, etc. Topology III – Homology (EN) Homology is one of the most important tools to study topological spaces and it plays an important role in many fields of mathematics. The aim of this course is to introduce this notion, understand its properties and learn how to compute it. There will be many examples and applications. Topics in complex analysis (EN) The goal of this course is to treat selected topics in complex analysis. We will mostly focus on holomorphic functions in one variable. At the end we will also discuss holomorphic functions in several variables Algebraic geometry I – Curves (EN) Algebraic geometry is the common language for many branches of modern research in mathematics. This course gives an introduction to this field by studying algebraic curves and their intersection theory. Continuous optimization (EN) This course introduces students to continuous, nonlinear optimization. We study the theory of optimization with continuous variables (with full proofs), and we analyze and implement important algorithms to solve constrained and unconstrained problems. Randomization and causation (EN) This course covers formal frameworks for causal inference. We focus on experimental designs, definitions of causal models, interpretation of causal parameters and estimation of causal effects. Number theory I.c – Combinatorial number theory (EN) This is an introductory course to combinatorial number theory. The main objective of this course is to learn how to use combinatorial, topological, and analytic methods to solve problems in number theory. Bayesian statistics (EN) A first introduction to Bayesian statistics, assuming knowledge from first courses in statistics and probability. We will focus on foundational statistical and mathematical aspects such as the decision theoretic background, consistency for large sample sizes, and algorithms for Bayesian computation. Linear models (EN) Regression models are fundamental in statistics, because they describe how the law of a random variable of interest may depend on other variables. This course introduces students to the core theory and methods of linear statistical models. Time series (EN) A first course in statistical time series analysis and applications. Advanced numerical analysis II (EN) The student will learn state-of-the-art algorithms for solving differential equations. The analysis and implementation of these algorithms will be discussed in some detail. Causal thinking (EN) This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability II: Discrete time processes (EN) A first course in advanced theoretical probability, focused on discrete families of random variables. Probability III: Continuous time processes (EN) This course extends the concepts exposed in Probability II into the world of continuous time. We explore martingales and Markov processes, guided by the core examples of Brownian Motion and Poisson Processes. A particular emphasis is placed on Brownian Motion, with its innumerable applications. Graph theory (EN) The course aims to introduce the basic concepts and results of modern Graph Theory.
Mathematical logic (FR) Field of mathematics with close connections to the foundation of mathematics and theoretical computer science. Centered on 1st order logic and the intricate relations between syntax and semantics. It is also a course in which mathematical practice becomes an object of mathematical study Risk and environmental sustainability (EN) This course gives an introduction to the assessment of risk with a particular focus on modelling of rare events, which can have huge environmental impacts. Randomized matrix computations (EN) This course is concerned with randomized algorithms that have been developed during the last two decades to solve large-scale linear algebra problems from, for example, scientific computing and machine learning. Emphasis will be placed on both, the development and analysis of such algorithms. Functional analysis II (EN) We introduce locally convex vector spaces. As an example we treat the space of test functions and the space of distributions. In the second part of the course, we discuss differential calculus in Banach spaces and some elements from nonlinear functional analysis. Harmonic analysis (EN) An introduction to methods of harmonic analysis.
Covers convergence of Fourier series, Hilbert transform, Calderon-Zygmund theory, Fourier restriction, and applications to PDE. Regression methods (EN) General graduate course on regression methods
Riemann surfaces (EN) This course is an introduction to the theory of Riemann surfaces. Riemann surfaces naturally appear is mathematics in many different ways: as a result of analytic continuation, as quotients of complex domains under discontinuous group actions, as algebraic curves. Statistical machine learning (EN) A course on statistical machine learning for supervised and unsupervised learning Stochastic simulation (EN) The student who follows this course will get acquainted with computational tools used to analyze systems with uncertainty arising in engineering, physics, chemistry, and economics. Focus will be on sampling methods as Monte Carlo, quasi Monte Carlo, Markov Chain Monte Carlo. Probabilistic models of modern AI (EN) This is a course where we will cover various topics related to recent progress in AI. Emphasis will be on understanding conceptual and mathematical principles, and on relating those to experimental data for machine learning models used in practice. Abstract analysis on groups (EN) We study analytic phenomena on groups, notably paradoxical decompositions such as Banach-Tarski, fixed point properties and harmonic functions. Number theory II.c – Selected topics (EN) This year’s topic is “Addictive combinatorics.” We will introduce various methods from additive
combinatorics, establish sum-product type theorems over finite fields and derive various applications (bounds for exponential sums, construction of
expander graphs). Heat kernel and analysis on manifolds (EN) This course develops the theory of the heat equation on Riemannian manifolds. We introduce the Laplace-Beltrami operator, the heat semigroup, and the heat kernel, study its fundamental properties, and explore how it “sees” the geometry of the underlying space. Functional data analysis (EN)
A rigorous introduction to the statistical analysis of random functions and random operators. Viewing random functions either as random Hilbert vectors or as stochastic processes, we explore the rich interplay between nonparametrics and multivariate statistics in infinite dimensions.
Evolutional partial differential equations (FR) Fundamental techniques and theories for partial differential equations of evolution. Application to basic examples: first-order equations, wave equation, heat equation. The Cauchy-Kowalevsky theorem, abstract problems of evolution. Representation theory II – Lie algebras (EN) This is a standard course on Lie groups, Lie algebras and their representations. Theory of stochastic calculus (EN) Introduction to the mathematical theory of stochastic calculus: construction of the Ito stochastic integral, proof of the Ito formula, introduction to stochastic differential equations, Girsanov’s theorem and the Feynman-Kac formula, the martingale representation theorem. Calculus of variations (EN) Introduction to classical Calculus of Variations and a selection of modern techniques. The Calculus of Variations aims at showing the existence of minimisers (or critical points) of functionals that naturally appear in mathematics and physics (Dirichlet energy, p-energy, etc). Multivariate statistics (EN) Multivariate statistics focusses on inferring the joint distributional properties of several random variables, seen as random vectors, with a main emphasis on uncovering their underlying dependence structure. This course offers a broad introduction to its concepts, methods & theory Statistical analysis of network data (EN) A first course in statistical network analysis and applications. Biostatistics (EN) This course covers statistical methods that are widely used in medicine and biology. A key topic is the analysis of longitudinal data: that is, methods to evaluate exposures, effects and outcomes that are functions of time. While motivated by real-life problems, some of the material will be abstract Numerical integration of stochastic differential equations (EN) In this course we will introduce and study numerical integrators for stochastic differential equations. These numerical methods are important for many applications. Numerical approximation of PDEs (EN) This course covers the derivation, theoretical analysis, and implementation of the finite element method for the numerical approximation of partial differential equations in one and two spatial dimensions. Numerical integration of dynamical systems (EN) In this course we will introduce and study numerical integrators for multi-scale (or stiff) differential equations and dynamical systems with special geometric structures (symplecticity, reversibility, first integrals, etc.). These numerical methods are important for many applications. Computational linear algebra (EN) This course provides an overview of advanced techniques for solving large-scale linear algebra problems, as they typically arise in applications. A central goal of this course is to give the ability to choose a suitable solver for a given application. Parallel and high-performance computing (EN) This course provides insight into a broad variety of High Performance Computing (HPC) concepts and the majority of modern HPC architectures. Moreover, the student will learn to have a feeling about what architectures are suited for several types of algorithms and learn to program for them. Numerical analysis and computational mathematics (EN) The course provides an introduction to scientific computing. Several numerical methods are presented for the computer solution of mathematical problems arising in different applications. The software MATLAB is used to solve the problems and verify the theoretical properties of the numerical methods. Programming concepts in scientific computing (EN) The aim of this course is to provide the background in scientific computing. The class includes a brief introduction to basic programming in c++, it then focuses on object-oriented programming and c++ specific programming techniques. Typical class hierarchies of computational software are addressed. Mathematical modelling of behavior (EN) Discrete choice models allow for the analysis and prediction of individuals’ choice behavior. The objective of the course is to introduce both methodological and applied aspects, in the field of marketing, transportation, and finance. Martingales in financial mathematics (EN) The aim of the course is to apply the theory of martingales in the context of mathematical finance. The course provides a detailed study of the mathematical ideas that are used in modern financial mathematics. Moreover, the concepts of complete and incomplete markets are discussed. Optimal transport (EN) The first part is devoted to Monge and Kantorovitch problems, discussing the existence and the properties of the optimal plan. The second part introduces the Wasserstein distance on measures and develops applications of optimal transport to PDEs, functional/geometric inequalities, gradient flows. Dispersive PDEs (EN) This course will give an introduction to some aspects of nonlinear dispersive partial differential equations. These are time evolution problems that arise in many contexts in physics, such as quantum mechanics, electrodynamics, fluid motion and relativity. Number theory I.a – Algebraic number theory (EN) Algebraic number theory is the study of the properties of solutions of polynomial equations with integral coefficients; Starting with concrete problems, we then introduce more general notions like algebraic number fields, algebraic integers, units, ideal class groups… Gödel and recursivity (EN) Gödel incompleteness theorems and mathematical foundations of computer science Introduction to stochastic PDEs (EN) Stochastic PDEs are used to model systems that are spatially extended and include a random component. This course gives an introduction to this topic, including some general measure theory, some Gaussian measure theory and some linear semigroup theory. Introduction to multi-scale stochastic dynamics (EN) This course introduces slow/fast systems and the mathematical tools used to derive effective equations governing their behaviour. Students will learn core concepts and techniques for rigorously analysing complex stochastic multi-scale systems. Topology IV.b – Algebraic K-theory (EN) Algebraic K-theory, which to any ring R associates a sequence of groups, can be viewed as a theory of linear algebra over an arbitrary ring. We will study in detail the first two of these groups and some of their applications to other areas of mathematics.. Number theory II.d – Cryptography (EN) . Topology IV.b – homotopy theory (EN) We propose an introduction to homotopy theory for topological spaces. We define higher homotopy groups and relate them to homology groups. We introduce (co)fibration sequences, loop spaces, and suspensions. We study long exact sequences. We construct Eilenberg-Mac Lane spaces. Mathematical aspects of materials modelling (EN) The simulation of materials properties from first principles is a key component of modern materials science research. We discuss common simulation techniques (such as plane-wave density-functional theory) from a mathematical perspective, outline robust algorithms and error estimation techniques. Distribution and interpolation spaces (EN) The goal of this course is to give an introduction to the theory of distributions and cover the fundamental results of Sobolev spaces including fractional spaces that appear in the interpolation theory. Those notions are central to the study of partial differential equations (PDE). Scientific machine learning (EN) This course covers topics of scientific machine learning. Part I focuses on sequential-in-time training of nonlinear parametrizations for numerically solving partial differential equations. Part II treats generative modeling of physical processes. This is a project-based course. Algebraic geometry II – schemes and sheaves (EN) The aim of this course is to learn the basics of the modern scheme theoretic language of algebraic geometry. Optimization on manifolds (EN) We develop, analyze and implement numerical algorithms to solve optimization problems of the form min f(x) where x is a point on a smooth manifold. To this end, we first study differential and Riemannian geometry (with a focus dictated by computational concerns). We also discuss several applications Applied statistics (EN) The course will provide an overview of everyday challenges in applied statistics through case studies. Students will learn how to use core statistical methods and their extensions, and will use computational and problem-solving tools to provide reproducible solutions for the problems presented. Statistical computation and visualisation (EN) The course will provide the opportunity to tackle real world problems requiring advanced computational skills and visualisation techniques to complement statistical thinking. Students will practice proposing efficient solutions, and effectively communicating the results with stakeholders. Ergodic theory (EN) This is an introductory course in ergodic theory, providing a comprehensive overlook over the main aspects and applications of this field. Empirical processes (EN) We learn how to control the nonasymptotic and random behavior of collections of estimators, when indexed by classes of functions/sets. Examples range from prototypical estimators used by statisticians, to nonparametric models used in machine learning. Euclidean and hyperbolic geometries (FR) We will present the evolution of the foundations of geometry, from Euclid up until Hilbert when non euclidean gemoetries were largely accepted. We will also explore some classical topics, aiming at developping the student’s culture and taste for geometry. Kinetic and non-equilibrium conservation laws (EN) Study of kinetic models and non-equilibrium conservation laws, linking particle interactions to macroscopic behavior. Covers analysis, simulation, and modeling across scales and media using kinetic theory, reduced-order models, and particle methods. Algebraic geometry III – selected topics (EN) This course is an introduction to the theory of algebraic curves and surfaces.
An important aim of the course is to develop geometric intuition while using the language of schemes developed in the basic algebraic geometry course, thus building a solid foundation for further study.
Representation theory III – infinite dim. algebras (EN) This course serves as an introduction to the theory of infinite-dimensional Lie algebras.
Intrusive and non-intrusive model reduction (EN) Intrusive and non-intrusive model reduction for parametrized partial differential equations and dynamical systems Geometry and dynamics of hyperbolic surfaces (EN) This course begins by describing and classifying hyperbolic surfaces before focussing on their geodesic flow. Topics include ergodicity, mixing, the Anosov property and equirepartition of closed geodesics. Spectral theory (EN) This course is an introduction to the spectral theory of linear operators acting in Hilbert spaces. The main goal is the spectral decomposition of unbounded selfadjoint operators. We will also give elementary applications to the analysis of PDEs. Statistical inference (EN) Inference from the particular to the general based on probability models is central to the statistical method. This course gives a graduate-level introduction of the main ideas of statistical inference. Student seminar in pure mathematics (EN) The goal of the seminar is to learn the main aspects of de Rham cohomology following the book of Bott-Tu ‘Differential Forms in Algebraic Topology’. We will aim to understand the definition of Chern classes of a vector bundle, a fundamental concept in topology, differential and algebraic geometry. Convex geometric analysis (EN) In this course we study the fundamental notion of convexity at the interface of analysis and geometry, an area that has seen remarkable progress in recent years. Optimization and simulation (EN) Master state-of-the art methods in optimization with heuristics and simulation.
Work involves:
– reading the material beforehand
– class hours to discuss the material and solve problems
– homework
Scientific programming for Engineers (EN) The students will acquire a solid knowledge on the processes necessary to design, write and use scientific software. Software design techniques will be used to program a multi-usage particles code, aiming at providing the link between algorithmic/complexity, optimization and program designs. Topics on the Euler and Navier-Stokes equations (EN) This topics course focuses on recent and classical fundamental results on the Euler and Navier-Stokes equations, such as global existence of weak solutions, (non)uniqueness results, blow-ups, partial regularity, anomalous dissipation. Topics in dispersive PDE (EN) This course assumes familiarity with beginning graduate level real analysis, complex analysis and functional analysis, and also basic
harmonic analysis, as well as fundamental concepts from differential geometry. Statistical consulting and collaborations (EN) Analyzing data for a collaborator or client is very different from working on your own research project ; not only do you need competences in statistics, you must also ensure good communication (both ways) in a multi-disciplinary environment, coordination of the work, and the management of everyone. Lattice Gauge Theories (EN) The aim of this course is to learn about lattice gauge theories, but also a bit about their (potential) continuum limits. Math Outreach (EN) This course offers 2nd-, 3rd-, and 4th-year PhD students an exciting opportunity to engage in math outreach activities. Designed for students passionate about communicating mathematics to the public and engaging meaningfully with the community. From Interacting particle systems to SPDEs (EN) The aim is to introduce all the necessary tools to understand recent results on the convergence of the fluctuation field of nonequilibrium particle systems to solutions of stochastic partial
differential equations. Reading group in applied topology II (EN) In this reading group, we will work together through recent important papers in applied topology. Participants will take turns presenting articles, then leading a discussion of the contents. Reasoning in artificial intelligence (EN) Large language models have raised the potential of artificial intelligence in various applications, including science and mathematics, but their reasoning capabilities remain under investigations. This class focuses on defining, measuring and improving the reasoning capabilities of such AI models. Perspectives on Randomness in Statistic (EN) This course covers different notions of randomness in statistics. The participants obtain an understanding of popular frameworks (frequentist, Bayesian, design-based etc.), and learn to compare them and assess their suitability for specific applications. Perfectoid and prismatic methods (EN) Contents: mixed characteristic geometry, perfectoid rings, primsatic cohomology and their applications to Kodaira type vanishing theorems. Working group in Topology I (EN) The theme of the working group varies from year to year. Examples of recent topics studied include: Galois theory of ring spectra, duality in algebra and topology, and topological algebraic geometry. Working group in Topology II (EN) The theme of the working group varies from year to year. Examples of recent topics studied include: Galois theory of ring spectra, duality in algebra and topology, topological algebraic geometry and twisted K-theory K-stability (EN) The topic is K-stability of Fano varieties, including (as time permits): the definitions, the equivalences of definitions, examples, the connection to the existence Kahler-Einstein metrics, and the construction of the moduli space. Winter School on Optimization and Operations Research (I) (EN) The objective of the Winter School is to expose the audience to modern topics on Optimization and Operations Research. Every year, two prominent researchers are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students. Winter School on Optimization and Operations Research (II) (EN) The objective of the Winter School is to expose the audience to modern topics on Optimization and Operations Research. Every year, two prominent researchers are invited to provide tutorials on selected topics, and to discuss some of their recent research with the students. Summer School on RNLA (EN) A diverse group of lecturers delivers lectures that span foundational concepts as well as advanced topic in randomized numerical linear algebra, including techniques for matrix factorizations, eigenvalue computations, and the solution of linear systems. Reliable ML: from LLMs to cyber-physical systems (EN) Interacting systems ranging from biological networks and social webs to critical infrastructures like power grids pose distinctive modeling challenges. The school presents the reliable machine learning approaches fundamentals and state-of-the-art methods to tackle problems across application domains Mechanical construction I (for ME) (FR) The ME-101 course is designed to teach students the rules and standardized language of technical communication, as well as the fundamentals of mechanical design. It relies on practical drawing exercises on paper and includes a hands-on introduction to Computer-Aided Design. Mechanical construction II (for ME) (FR) The ME-102 course aims at acquiring a solid basis in technical culture in order to be able to apply it to real-life examples of mechanical engineering, through a review of the concepts, components, and methodologies used in this field, and the achievement by the students of a group-based project. Solid mechanics I : intro to structural mechanics (EN) The student will acquire the basis for the analysis of static structures and deformation of simple structural elements. The focus is given to problem-solving skills in the context of engineering design. Introduction to mechanical design (FR) The ME-105 is aimed to teach the standardized language of the technical communication in the field of mechanical engineering and a basis in technical culture, through a review of the concepts, components, and methodologies, together with the achievement by the students of a group-based project. Mechanical construction I (for MT) (FR) The ME-106 course is designed to teach students the rules and standardized language of technical communication, as well as the fundamentals of mechanical design. It relies on practical drawing exercises on paper and includes a hands-on introduction to Computer-Aided Design. Mechanical construction II (for MT) (FR) The ME-107 course aims at acquiring a solid basis in technical culture in order to be able to apply it to real-life examples of mechanical engineering, through a review of the concepts, components, and methodologies used in this field, and the achievement by the students of a group-based project. Scaling Law for ME engineers (FR) The course offers an introduction to order-of-magnitude analysis, dimensional analysis, and scaling laws. These techniques are applied across various contexts useful to the mechanical engineer. Mechanical systems (FR) This course aims to deepen the understanding of the operating laws of several major mechanical principles widely used in machine construction, in order to be able to size them in the most common concrete cases. Programmation pour ingénieur (FR) Build on the basic programming concepts learn last semester. Develop a simple program. Debug methods and good practice. Introduction to scientific programming. Introduction to data flow programming. Dynamical systems (EN) Provides the students with basic notions and tools for the analysis of dynamic systems. Shows them how to develop mathematical models of dynamic systems and perform analysis in time and frequency domains. Structural mechanics for SV (EN) This course aims to provide a concise understanding of how materials and structures react to loads. It covers the basics of stress and strain in multi dimensions, deformation and failure criteria. The course is tailored to problems students from life science might encounter. Mechanics of structures (For GM) (FR) Master the fundamentals of stress and strain analysis of linear elastic beams subjected to tension, shear, torsion, and bending; influence coefficients and the energy method for analyzing isostatic and hyperstatic systems; failure criteria. Thermodynamics and energetics I (EN) The course introduces the basic concepts of thermodynamics and heat transfer, and thermodynamic properties of matter and their calculation. The students will master the concepts of heat, mass, and momentum conservation, and apply these concepts to thermodynamic cycles and energy conversion systems. Introduction to control of dynamical systems (FR) Introductory course on control of dynamical systems. Four key systems serve as the backbone to a unified abstract formalism. This formalism is then used to solve fundamental control problems such as tracking and disturbance rejection, with particular emphasis on guaranteeing closed-loop stability Fluid mechanics I : incompressible + TP (EN) Introduction to fluid mechanics, combining fundamental principles with their application to canonical flow problems. Measurement techniques (EN) Theoretical and practical course on experimental techniques for observation and measurement of physical variables such as force, strain, temperature, flow velocity, structural deformation and vibrations, etc. Microinformatique (pour GM) (FR) Understand Microcontrollers and learn to use them, especially for mechanical systems. Dynamical effects in mechanical design (FR) Ce cours poursuit la compréhension des effets cinématiques et dynamiques de systèmes mécaniques complexes et introduit les bases pour les comprendre et les modéliser. L’étudiant saura expliquer et modéliser la dynamique et choisir des modèles adéquats. Control systems + TP (EN) Provides the students with basic notions and tools for the analysis and control of dynamic systems. Shows them how to design controllers and analyze the performance of controlled systems. Chemical process control (EN) Provide the students with basic notions and tools for the modeling and analysis of dynamic systems. Show them how to design controllers and analyze the performance of controlled systems. Discrete-time control of dynamical systems (FR) An introduction to linear discrete-time control systems is provided which consists in applying a control at equally spaced time intervals. The consequence of the associated sampling process on the stability and performance of the closed-loop system is analysed in detail. Control systems and discrete-time control (FR) This course includes modelling and analysis of dynamic systems, basic principles and analysis of feedback control systems, controller design in frequency domain (loop shaping) and in state space (linear quadratic regulator), discrete-time systems and digital controller design (polynomial approach). Solid mechanics III (EN) This course focuses on the fundamental understanding and analysis of the mechanical behavior of engineering materials and their application in mechanical design, based on the continuum mechanics of solids. Mechanical vibrations (FR) In this course we study the modal dynamics of mechanical structures. During the course we will learn key concepts like Normal modes, effective mass and stiffness, and eigenfrequencies. Heat and mass transfer (EN) This course covers fundamentals of heat transfer and applications to practical problems. Emphasis will be on developing
a physical and analytical understanding of conductive, convective, and radiative heat transfer. Introduction to turbomachinery (EN) The course provides a foundational understanding of turbomachines, covering their classification, fundamental principles of fluid mechanics and key performance parameters. It delves into coordinate systems, velocity analysis, and the application of conservation laws to turbomachinery. Compressible-fluid dynamics (FR) Compressible flows, sonic speed, shock wave, expansion. Thermodynamics and energetics II (EN) This course will discuss advanced topics in thermodynamics with a focus on studying gas
phases, mixtures, and phase transformations. The application of these principles
to various practical systems such as batteries, fuel cells etc. will be discussed. Discretization methods in fluids (FR) This course provides an introduction to the approximation methods used for numerical simulation in fluid mechanics.
The fundamental concepts are presented in the context of the finite differences method and then extended to the finite and spectral element method. Finite element method (FR) In this course, the student gets acquainted with the theoretical aspects of the finite element method, the most commonly used computational technique for solving elliptic problems. He learns to apply the finite element method to simple test cases and to more complex problems faced in practice Finite element modelling and simulation (FR) The objective of this course is to learn how to carry out rigorous and critical finite element analyzes of realistic problems in solid mechanics using state-of-the-art CAE software. Experimental methods in biomechanics (FR) The aim of this course is to allow the students to become familiar with the basic techniques to measure the mechanical properties of different musculoskeletal tissues or biomaterials used in tissue engineering. Foundations of artificial intelligence (EN) This course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications. Applied mechanical design (EN) Students will be exposed to hands-on design problems throughout the term. They will acquire methodologies to (1) address open ended engineering problems, (2) cultivate creativity, (3) support decision making and (4) develop problem solving abilities.
Energy conversion and renewable energy (EN) This course presents an overview of (i) the current energy system and uses (ii) the main principles of conventional and renewable energy technologies and (iii) the most important parameters that define their efficiency, costs and environmental impacts. Mechanical product design and development (EN) Study and explore design principles of the different mechatronic components and systems. We will cover in-depth especially on meso-scale actuators, sensors and body construction methods. Mechanics of slender structures (EN) Analysis of the mechanical response and deformation of slender structural elements. Introduction to additive manufacturing (EN) The state of the art in the domain of additive production processes
(the part is built by material addition without use of a shape tool) will be presented.
The main application/benefits/shortcomings of the common additive processes as well as
technological and economical issues will be discussed. Production management (EN) Production management deals with producing goods sustainably at the right time, quantity, and quality with the minimum cost. This course equips students with practical skills and tools for effectively managing demand, supply, and implementing advanced analytics in manufacturing companies. System identification (EN) Identification of discrete-time linear models using experimental data is studied. The correlation method and spectral analysis are used to identify nonparametric models and the subspace and prediction error methods to estimate the plant and noise model parameters. Hands-on labs are included. Multivariable control (EN) This course covers methods for the analysis and control of systems with multiple inputs and outputs, which are ubiquitous in modern technology and industry. Special emphasis will be placed on discrete-time systems due to their relevance to digital and embedded control architectures. Model predictive control (EN) Provide an introduction to the theory and practice of Model Predictive Control (MPC). Main benefits of MPC: flexible specification of time-domain objectives, performance optimization of highly complex multivariable systems and ability to explicitly enforce constraints on system behavior. Micro/Nanomechanical devices (EN) In this course we will see an overview of the
exciting field of Micro and Nanomechanical systems. We will go over the dfferent scaling laws that dominate the critical parameters, how size affects material properties, how these devices are manufactured, designed and later used. Networked control systems (EN) This course offers an introduction to control systems using communication networks for interfacing sensors, actuators, controllers, and processes. Challenges due to network non-idealities and opportunities offered by communication will be analyzed. Data-driven design & fabrication methods (EN) There is an increasing need for data-driven methods for automated design and fabrication of complex mechanical systems. This course covers methods for encoding the design space, optimization and search approaches and digital fabrication methods. Game theory for multiagent decision-making (EN) Aeroelasticity and fluid-structure interaction (FR) Static and dynamic response of coupled fluid-structure systems as a result of extraneously-induced excitation, motion-induced excitation, and fluid-instability-induced excitation. Micro/Nano robotics (EN) The objective of this course is to expose students to the fundamentals of robotics at small scale. This includes a focus on physical laws that predominate at the nano and microscale, technologies for fabricating small devices, bioinspired design and control paradigms, and applications of the field. Hydroacoustic for hydropower plants (EN) Introduction to pressure wave propagation phenomena in hydraulic circuits, water hammer calculations, transient behaviour of hydroelectric plants, 1D numerical simulation of the dynamic behaviour of Francis, Pelton and Kaplan turbines, and study of the stability of these systems.
Hydrodynamics (EN) Nondimensionalized Navier-Stokes equations result in a great variety of models (Stokes, Lubrication, Euler, Potential) depending on the Reynolds number. The concept of boundary layer enables us then to identify the different components of the hydrodynamic drag. Wave drag is finally introduced. Aerodynamics (EN) This course will provide the fluid dynamic background to understand how air flows around two- and three-dimensional wings and bodies and to understand and calculate the aerodynamics forces and moments acting on the objects as a result of the air flow. Liquid-gas interfacial heat and mass transfer (EN) This course covers the fundamental analysis of liquid-gas interfacial heat and mass transfer in various contexts
including power generation, water purification, and cooling. Students will learn about the multiscale physics involved in
evaporation, boiling, and condensation. Industrial process and energy systems engineering (EN) Using a project based learning approach, this lecture present industrial process and energy system engineering techniques to design integrated industrial and urban system for a sustainable energy transition. Hydraulic turbomachines (EN) Master lectures on Hydraulic Turbomachines: operating principles, design and innovation of impulse and reaction turbines, industrial pumps and pump-turbines. Thermal power plants (EN) Discussion of the types, principles and operation of thermal power plants with an emphasis on components (turbines, heat exchange, boiler) both for the state-of-the-art (60% of total world power) and for advanced concepts, considering both natural and renewable fuels and heat sources. Heat pump systems (EN) This course aims to study heat pumping cycles and technologies, and equipment, such as compressors (positive displacement and dynamic), heat exchangers, and expansion valves. Renewable energy (for ME) (EN) The students assess and compare all renewable energy resources, their real potentials, limitations and best applications (energy services). Solar thermal, solar electric, wood, bioliquids, biogas, hydropower incl. tidal and wave power, wind, geothermal incl. heat pumps and buildings. Cavitation and interface phenomena (FR) Introduction, basic concepts; cavitation bubble collapse; dynamique des cavits; cavitation in vorticalstructures; industrial applications. Introduction to nuclear engineering (EN) This course is intended to understand the engineering design of nuclear power plants using the basic principles of reactor physics. This course includes the following: Reactor designs, Nuclear safety and Reactor dynamics Advanced heat transfer (EN) The course will deepen the fundamentals of heat transfer. Particular focus will be put on radiative and convective heat transfer, and computational approaches to solve complex, coupled heat transfer problems. Instability (EN) This course focuses on the physical mechanisms at the origin of the transition of a flow from laminar to turbulent using the hydrodynamic instability theory. Turbulence (EN) This course provides an introduction to the physical phenomenon of turbulence, its probabilistic description and modeling approaches including RANS and LES. Students are equipped with the basic knowledge to tackle complex flow problems in science and engineering practice.
Solar energy conversion (EN) The course will provide fundamentals and technological details of solar energy conversion devices and systems, including 1) solar fuels by photoelectrochemistry, photocatalysis, and solar thermochemistry, 2) solar electricity by PV and concentrated solar power, and 3) solar heat by solar collectors. Nano-scale heat transfer (EN) In this course we study heat transfer (and energy conversion) from a microscopic perspective. First we focus on understanding why classical laws (i.e. Fourier Law) are what they are and what are their limits of validity. Next we discuss emerging opportunities in nanoengineering energy devices. Mechanics of soft and biological matter (EN) This course aims to provide students with a comprehensive understanding of theoretical and computation modeling approaches applicable to soft and biological matter, which closely aligned with currently active research topics. Dynamic finite element analysis of structures (EN) The course focuses on the dynamic analysis of 3D structures using the finite element method in the context of linear elasticity. Students will gain proficiency in numerical techniques widely employed in static and dynamic structural analysis, and apply these methods to address real-world problems. Numerical flow simulation (EN) This course provides practical experience in the numerical simulation of fluid flows. Numerical methods are presented in the framework of the finite volume method. A simple solver is developed with Matlab, and a state-of-the-art software is used for more complex problems. Biomechanics of the musculoskeletal system (EN) The basis for a mechanical description of the musculoskeletal system are presented. This description is based on the concepts of solid mechanics, physiology and anatomy of the musculoskeletal system. Concrete examples of the development of implants are also covered. Numerical methods in biomechanics (EN) Students understand and apply numerical methods (FEM) to answer a research question in biomechanics. They know how to develop, verify and validate multi-physics and multi-scale numerical models. They can analyse and comment results in an oral presentation and a written report. Continuous improvement of manufacturing systems (EN) Continuous Improvement encompasses the ongoing effort to capture, create, and deliver value to internal and external customers. This course empowers students to lead teams and harness technology to improve products, services, and processes. Product decarbonization and life cycle analysis (EN) This course will address the need to decarbonize engineered products and to reduce their environmental and societal impacts. Life cycle analysis (LCA) will be used as a tool to quantify the impacts of engineered products and to aid design of lower impact alternatives. Nonlinear Control Systems (FR) Analysis of nonlinear systems is performed towards controlling them. Stability in the sense of Lyapunov is introduced, together with geometrical methods (Exact Feedback Linearization). Various examples are treated (pen and pencil, and computer). Advanced control systems (EN) This course covers some theoretical and practical aspects of robust and adaptive control. This includes H-2 and H-infinity control in model-based and data-driven framework by convex optimization, direct, indirect and switching adaptive control. The methods are implemented in a hands-on lab. Engines and fuel cells (EN) The students describe and explain the thermodynamic and operating principles of internal combustion engines and all fuel cell types, identify the determining physical parameters for the operating regimes, the efficiencies and the polluting emissions, and compare the systems against each other. Innovation in and from space (EN) The course provides MA students with a strategic understanding of the space sector and how to translate research into industrial applications. It covers space economy, project mngt, leadership, and interdisciplinary innovation, with skills applicable to large transformative projects across sectors. Selected topics in poromechanics (EN) This course presents fundamental and selected topics of the mechanics and physics of fluid-infiltrated porous media with applications to geo-mechanics. Mathematical modeling and the techniques for the solution of the resulting initial boundary value problems will be emphasized (scaling,numerics…). Designing Testing Machines for Geomechanics (EN) Develop your own machines to meet your scientific needs. Learn how to build high-pressure, high-temperature machines, as well as low-to-high-speed friction machines for geomechanics experiments. Additionally, gain knowledge about commonly used sensors in geomechanics. Similarity and Transport Phenomena in Fluid (EN) The course is an introduction to symmetry analysis in fluid mechanics. The student will learn how to find similarity and travelling-wave solutions to partial differential equations used in fluid and continuum mechanics. The course covers mathematical and physical aspects Introduction to entrepreneurship (EN) This course provides an introduction to the field of entrepreneurship, in particular the process of new venture creation and the commercialization of technologies. It integrates theories of entrepreneurship with a practical, process-based
project, where students develop a business concept in teams. Technologie, économie et politique: en face des crises (FR) This course deals with the role of innovations as essential responses to the big potential crises of our time – the so-called Grand Societal Challenges. The course alternates theoretical presentations – based on micro-economic analysis – and case studies. Sustainable entrepreneurship (EN) This course introduces sustainable entrepreneurship through the creation of innovative startups addressing social and environmental challenges. Working in teams, students identify opportunities and develop sustainable business models using entrepreneurial tools. Game theory and strategic decisions (EN) Game theory studies the strategic interactions between rational agents. It has a myriad of applications in politics, business, sports. A special branch of Game Theory, Auction Theory, has recently guided the development of Ebay, Google advertising auctions, and of the Wireless spectrum auctions. Foundations in financial economics (EN) The aim of this course is to expose EPFL bachelor students to some of the main areas in financial economics. The course will be organized around six themes. Students will obtain both practical insights through real-world examples and understand how one can model the main economic trade-offs. Introduction to data driven business analytics (EN) This course focuses on methods and algorithms needed to apply machine learning with an emphasis on applications
in business analytics. Introduction to economics of innovation (EN) This class will provide students with an understanding of some real-world issues related to the “knowledge economy.” Why should we innovate as a society? Why innovation doesn’t just happen, and how can the government help firms innovate? We will answer these questions and others using economic tools Corporate strategy (EN) Why are some firms more successful than others? This is the fundamental question of strategy. The course aims to familiarize the student with the most important themes relevant for corporate strategy. We will take the a top management perspective to better understand decisions’ underlying complexity Strategic marketing & technology commercialization (EN) This course teaches students the power of building and implementing marketing strategies in order to help businesses to commercialize successfully their technological innovations.
It offers a large overview of modern marketing and is not suited for students with advances marketing knowledge. Management of intellectual property (EN) This class provides an introduction to the management of intellectual property (IP), primarily patents. It covers strategic and legal considerations related to IP. The class relies on formal lectures, case studies, debates, speakers, and a project. Design in innovation: creation for adoption (EN) Using a human-centered and transdisciplinary approach, this course applies a structured design process to develop creative and viable propositions benefiting both society and the economy. Applied corporate & industry analysis (EN) This course turns strategic theory into practice. Students learn established tools for analyzing companies and their industries, then apply them throughout the semester to a real firm, producing a hands-on analysis of its competitive position. Entrepreneurship & new venture strategy (EN) A foundational course on the science and practice of launching new ventures. The purpose is to study and experience the first stages of the entrepreneurial process: from the identification of promising opportunities to the development of a viable and innovative business concept. Technology & innovation strategy (EN) This course focuses on the economic and organizational conditions that shape technological innovation by firms. The intent is for students to learn core concepts that can make innovation initiatives within a firm more successful, and to then apply those concepts to real business problems and cases. Causal inference (EN) Students will learn the core concepts and techniques of network analysis with emphasis on causal inference. Theory and
application will be balanced, with students working directly with network data throughout the course. Value chain management in practice (EN) Learn through practice (using a Value Chain Management simulation) the key drivers of effective Value Chain Management. From Purchasing to Sales, through Operations and Supply Chain Management, understand the key drivers of corporate performance. Convex optimization (EN)
This course introduces the theory and application of modern convex optimization from an engineering perspective. Innovation management (EN) In this course, you will learn state-of-the-art knowledge and best practices needed to successfully develop innovation-based growth and renewal strategies for organizations. Machine learning methods in econometrics (EN) This course aims to provide graduate students a grounding in the methods, theory, mathematics and algorithms needed to apply machine learning techniques to in business analytics domain. The course covers topics from machine learning, classical statistics, and data mining. Strategic management of innovation (EN) The purpose of this course is to describe innovation and how it impacts business dynamics. It also aims to teach students how to think strategically and holistically about technological innovation, new product development and market deployment. Logistics and demand analysis (FR) Logistics, a cross-disciplinary function par excellence, integrates all the dimensions of value-adding industrial processes, from supply to distribution to customers and beyond, while taking sustainable development into account. Particular emphasis will be placed on the forecasting approach. Project management and risk analysis (FR) This course focuses on a general approach to project management while assessing risk approach at each step of the project. Information: strategy & economics (EN) Introduction to the economics of information and its strategic ramifications. The main objectives are to use economic theory to understand strategic interactions in the presence of uncertainty, estimate the value of information, and to analyze competitive strategy in an information economy. Data science for business (EN) Students will learn how data science can support business decisions from prediction and evaluation to sequential decision-making. The course covers core machine learning tools for business analytics and introduces reinforcement learning as a framework for optimizing repeated business decisions. Technology Ventures I (EN) Technology Ventures provides a science-based foundation and hands-on experience in launching new ventures. By working on their own concepts, students learn to recognize attractive market opportunities, design scalable business models, and develop effective market-entry strategies. Algorithmic game theory (EN) We will study mathematical models of the interplay between algorithms and strategic behavior. We cover fundamental concepts from game theory and mechanism design, including Nash equilibria, the price of anarchy, auctions and market design, incentive compatibility, and online learning and dynamics. Technology Ventures II (EN) Technology Ventures provides a science-based foundation and hands-on experience in launching new ventures. By working on their own concepts, students learn to recognize attractive market opportunities, design scalable business models, and develop effective market-entry strategies. Technology, sustainability and public policy (EN) Technology is a driver of long-term growth but it can also undermine sustainable development. This course introduces microeconomic models of market and collective action failures, models of complex systems, as well as the design of optimal public policies to tackle these issues. Principles of microeconomics (EN) The course introduces students to the core tools and concepts of modern microeconomic analysis. Combining graphical reasoning and analytical methods, it emphasizes continuous links between theory and real-world economic issues. Practical business law (EN) The course covers the fundamental concepts of business law from a practical standpoint, including contracts and company law, intellectual property, data protection and competition law, with a special focus on issues specific to start-up companies. Negotiation techniques (EN) This course is designed to give you a practical, hands-on opportunity to learn the basics of negotiating, self leadership and the impact of culture. Strategies and techniques are presented and practiced that will enable you to develop your skills and become a confident negotiator. Leading and managing in a global context (EN) This course examines management and leadership concepts and provides tools to apply when working in global environments. Participants will explore and develop their self awareness and how to apply the course content to adapt the way they work with, lead and manage teams in a multicultural context. Intercultural presentation skills (EN) In this course students learn how make an effective presentation, structure and organize information, develop storytelling techniques, empathise with and engage diverse audiences, use visual support materials effectively, and manage challenges and Q&A with confidence and conviction. Sustainability in the global context (EN) This course equips you with the tools needed to evaluate the economic, historical, and political dimensions of climate change from a global perspective. You will also learn about the international institutions and megatrends shaping and constraining the solutions. Strategy, sustainability and innovation (EN) The current world of business is changing fast, in particular through the need to find a more sustainable economic model and through the rise of new technologies. These changes generate constraints but also tremendous opportunities to rethink competitive landscapes & to come up with disruptive strat Improve your personal effectiveness (EN) The aim of this integration week is to improve personal effectiveness by building self-awareness through activities, reflections, and academic material. You will have built trust and relationships that will help you work together in developing your leadership throughout the rest of the program. Improve your group effectiveness (EN) During the leadership integration sessions, you will learn what are the conditions for a team to effectively work together. You will explore the stages of group development and team dynamics. You will analyze team performance through the lens of the BART model. Principles of finance (EN) The course provides a market-oriented framework for analyzing the major financial decisions made by firms. It provides an introduction to valuation techniques, investment decisions, asset valuation, financing decisions, derivatives, and sustainable finance. Optimal decision making (EN) This course introduces the theory and applications of optimization. We develop tools and concepts of optimization and decision analysis that enable managers in manufacturing, service operations, marketing, transportation and finance to transform data into insights for making better decisions. Applied probability & stochastic processes (EN) This course focuses on dynamic models of random phenomena, and in particular, the most popular classes of such models: Markov chains and Markov decision processes. We will also study applications in queuing theory, finance, project management, etc. Complex problem solving in organizations (EN) As a professional you will need to solve all sorts of complex problems, requiring you to think strategically. This course develops your strategic thinking skills by giving you a demonstrated process and actionable tools that will be useful no matter the nature of the challenge you face. Economics for challenging times (EN) This course analyzes socio-economic issues related to poverty, inequalities, climate change, globalization, migration, AI, etc. We teach students how to analyze data using quantitative methods in economics and develop solutions compatible with the functioning of market economies. Introduction to ethics & critical thinking (EN) In a society that is changing at high speed, the solutions that we have learned and the challenges we face, do no longer fit together. The accelerating ecological crisis and digitalization are profoundly transforming our way of life. In times of great change and disorientation, ethics moves center s Data Science & Causal Inference for Sustainability (EN) This class explores key climate questions through data. Students will learn to collect, clean, and analyze data, apply causal methods using Python, and communicate insights clearly. With a focus on sustainability, the course builds skills to avoid pitfalls and draw meaningful conclusions. Data science and machine learning (EN) Hands-on introduction to data science and machine learning. We explore recommender systems, generative AI, chatbots, graphs, as well as regression, classification, clustering, dimensionality reduction, text analytics, neural networks. The course consists of lectures and coding sessions using Python. Environmental assessment and reporting (EN) Learn how to assess, analyse, report and communicate the environmental impacts of companies, projects and products considering whole value chains, i.e. applying Life Cycle Impact Assessment. State-of-the-art standards, methodologies, databases and indicators will be considered. Social entrepreneurship (EN) The purpose of this interdisciplinary course is to equip students with tools to make sense of, and act in, an ever more complex and interdependent world. Performance Management (EN) The objective of the course is to provide participants with the main processes and tools a company applies to evaluate the financial and non financial performance.
Supply chain management (EN) This course introduces key concepts in supply chain management. It uses a combination of case studies, simulation exercises, formal lectures and group discussions to illustrate how the various concepts can be successfully implemented in practice. Sustainable logistics operations (EN) We address quantitatively the management of logistics operations, focusing notably on their environmental impact. Considering practical situations, focus is paid on the optimization of logistics systems, in particular when the objective is to minimize their associated environmental footprint. Marketing & sustainability in a digital world (EN) The goal of this course is to understand the key role that marketing could be playing when firms seek to develop sustainable strategies : a positive force of change. This, however, will require a substantial re-orientation of current practices. Come with an open mind! Advanced sustainable accounting and finance (EN) Students will learn tools and techniques to improve society and create value from an accounting and finance perspective. This course will develop the student’s critical thinking, problem-solving and presentation skills to assess and understand the problematics linked to ESG investing and reporting. Nature finance (EN) This course explores the many financial instruments that can come as a support for protection and regeneration of natural assets. Communication for impact (EN) Effective communication is a critical skill in both personal and professional settings. This course is designed to equip you
with the fundamental principles and practical techniques to enhance your ability to communicate with impact. Sustainable transformation and future-fit business (EN) This course explores the practical side of sustainability in business, by diving into the key impact areas and examining concrete steps businesses can take to drive transformation. Students will work on a practical project with a company to identify and implement strategic impact improvements. Entrepreneurial Leadership Project – Spring (EN) This course, in collaboration with the Talent Kick program, helps aspiring student entrepreneurs gain hands-on entrepreneurial experience on the path from research into practice. Talent Kick is an initiative of the Kick Foundation. Innovation & entrepreneurship in engineering (EN) This course is a joint initiative between the School of Engineering and the College of Management to encourage and promote entrepreneurship and management skills, engineering design, hands-on experience, teamwork, and awareness of social and ethical implications in engineering and management. ESG accounting and reporting (EN) We will look at the trends that led to mandatory ESG reporting and to what extent they are affecting current business practice. Open Innovation Lab (EN) The Open Innovation Lab is an experiential, project-based course where students design open innovation strategies with industry partners. Teams tackle strategic challenges proposed by companies at the EPFL Innovation Park, applying classroom concepts to real innovation management problems. Introduction to econometrics (EN) The course provides an introduction to econometrics for economics, management, and financial applications. The objective is to learn how to make valid (causal) inference from economic and social data. Mathematical models in supply chain management (EN) Over the past decade, supply chain management has drawn enormous attention by industry and academia alike. Given an increasingly global economy, pronounced trends towards outsourcing and advances in information technology, more and more complex business relationships among companies have evolve Microeconomics (EN) This course presents a first introduction to microeconomic theory and its applications. It lays the foundation for more advanced courses. Publishing in Management, Technology and Innovation (EN) The seminar aims to improve doctoral students’ competencies in management, technology, and innovation to publish their work in leading academic journals. Technology and Public Policy – Technology and innovation policies for grand and global challenges (EN) This course addresses the design of policies for Grand Challenges. It aims at providing a policy toolkit – about innovation, economic regulation and societal inclusion – while supporting students about writing the first pillars of a roadmap to address one specific Grand Challenge. From lab to market: key steps (EN) In this course, participants will learn how to identify and evaluate market opportunities stemming from new technologies. It is targeted to everyone who seeks to create a startup or wants to understand critical steps in the innovation process. Electrotechnics I (FR) The course covers the basics of electrical circuits composed of linear components, in direct current (DC) operation. A series of transforming methods are studied. At the end of the semester, alternate current (AC) systems are treated (complex numbers). Many examples and demos illustrate the course. Electrotechnics II (EN) This course gives an introduction to electronic systems, building upon the foundational components you have learned about in Electrotechnique-I. You will study the frequency behavior of complex RLC systems, three-phase systems and time-dependent systems. Probability & statistics for engineers (EN) This course covers the basics of probability and statistical techniques for engineers, including major probability concepts, data analysis, and statistical inference. Mechanism Design I (FR) This course introduces the basics of structural mechanics: calculation of stresses and strains caused by external forces and calculation of strains. This theoretical training is applied to the design of important elements of precision mechanisms. Mechanism Design II (FR) This second semester develops creative design skills applied to the field of microtechnology mechanisms. It focuses both on knowledge (components, physical principles, dimensioning) and cognitive process of design. Microcontrollers (FR) Microcontrollers covers the internal operation of a microcontroller, basic notions of microprocessor architecture and computer systems as well as microcontroller interfaces and serial communication protocols. Machining training course in Microtechnics (FR) The Micro-220 machining practicum is a fundamental step in the engineering program at EPFL. This concise and intensive training exposes students to essential machining skills, a valuable asset for a future career. Manufacturing technologies (EN) This course gives an introduction to production methods and manufacturing technologies used in microengineering. The focus is given on the understanding of physical phenomena underlying the processes, the relation between materials, manufacturing processes and design, as well as economical aspects. Microfabrication I (EN) This course introduces the fundamental process technologies and applications of modern micro- and nanofabrication as practised in cleanroom environments. Microfabrication II (EN) This course focuses on advanced process technologies and microsystem integration strategies. Students will deepen their understanding of selected state-of-the-art fabrication techniques and learn how to design, optimise, and evaluate complete fabrication workflows for complex microsystems. Signals and systems I (for MT) (FR) Introduction of the basic concepts and mathematical tools for the characterization of signals and for the analysis and design of linear systems (filters or transmission channels). Application of these techniques to signal processing and communications. Signals and systems I (for SV) (FR) Introduction of the basic concepts and mathematical tools for the analysis and characterization of signals, the design of processing algorithms, and the linear modeling of systems for students in the life sciences. Application of these techniques to signal processing and communications. Signals and systems II (for MT) (FR) This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform). Physics of semiconductors devices (FR) The students are able to explain the physics of semiconductor devices like diodes, transistors, and MOS devices. They use such devices in fundamental electronic circuits, like inverters and amplifiers. Actuators and Electromagnetic systems I (FR) The course covers the main methods for the analysis of electromechanical systems. A study of magnetic physical quantities is followed by the conversion of electrical energy into mechanical energy. The permanent magnet is studied macroscopically. The dynamic aspect of the system is seen at the end. Actuators and Electromagnetic systems II (FR) The students will be able to model, simulate and measure actuators and electrical motors Embedded Systems and Robotics (FR) This course deals with the programming of embedded systems: cross-compilation, the use of FPU in microcontrollers, the use of DSP instructions and the mechanisms available in a Real-time Operating System. The whole is implemented in a robotic context. Optical engineering (for MT)
(FR) This class presents different facets of modern optics and emphasizes both rigorous foundations and practical applications. The course includes lectures and exercises, as well as experiments in the DLLs. Optical engineering (for EL) (FR) This class presents different facets of modern optics and emphasizes both rigorous foundations and practical applications. Sensors (FR) Physical principles and electronics used in sensors. Applications of sensors. Microfabrication practicals (EN) The goal of this course is to introduce students to the practical aspects of some basic micro-fabrication techniques. Wireless sensor practicals (EN) In this course, students will design, fabricate, and characterize a wireless sensor wearable. Students will design a custom-chosen wearable around a standardized wireless microcotroller platform, including the electronics and packaging, and will characterize and analyze its performance. Software architecture (FR) This courses covers topics in modern and industrial software architecture including: agile project management, specifications, development of critical applications, design patterns, robuste code, and devOps aspects (automating tests, and continuous integration and deployment) Advanced microfabrication practicals (EN) This TP allows for in-depth training on advanced micro and nanofabrication methods in a clean-room environment for selected applications, gain deeper knowledge in MEMS/NEMS processes, work in a small group together with PhD students/postdocs during 14 weeks touching all aspects of a microprocess. Light, liquids and interfaces (EN) This course provides an overview of relevant interactions in liquids, combining thermodynamics, statistical physics and pair potetnials. Water and aqueos systm,es will be considered in detail. Optical techniques to investigate liquid and liquid interfacial structure will treated. Machine learning programming (EN) This is a practice-based course, where students program algorithms in machine learning and evaluate the performance of the algorithm thoroughly using real-world dataset. Products design & systems engineering (EN) This course will cover all the aspects of product design and system engineering from learning relevant methods to the actual implementation in a hands-on practice of product development. Materials design for vat photopolymerization (EN) This course is focused on designing materials for vat photopolymerization 3D printing technologies. The course combines theoretical description with practical lab work where students will design, formulate, and print their own materials.
Laboratory introduction to biochemistry (EN) This course introduces engineers to the most commonly used techniques required to conduct work in Molecular Biology and Biochemistry. During this course students will generate and characterize a functional cell-free transcription translation system. Advanced additive manufacturing technologies (EN) Advanced 3D forming techniques for high throughput and high resolution (nanometric) for large scale production. Digital manufacturing of functional layers, microsystems and smart systems. Selected topics in advanced optics (EN) This course proposes a selection of different facets of modern optics and photonics. Computational optical imaging (EN) Modern imaging systems combine traditional optical devices (lenses, endoscopes, cameras, laser scanners, etc) with digital computers. In this course we learn how to use computational tools to simulate the optical system and combine them with neural networks that process the optical images Optics laboratories (spring) (EN) This laboratory work allows students to deepen their understanding of optical instruments, optoelectronic devices and diagnostic methods. Students will be introduced in state of the art optical instruments and measurement principles. Optics laboratories (autumn) (EN) This laboratory work allows students to deepen their understanding of optical instruments, optoelectronic devices and diagnostic methods. Students will be introduced in state of the art optical instruments and measurement principles.
Laser fundamentals and applications for engineers (EN) The course will cover the fundamentals of lasers and focus on selected practical applications using lasers in engineering. The course is divided approximately as 1/3 theory and 2/3 covering selected applications.
Metrology (EN) The course deals with the concept of measuring in different domains, particularly in the electrical, optical, and microscale domains. The course will end with a perspective on quantum measurements, which could trigger the ultimate revolution in metrology. Metrology practicals (EN) The student will get familiar with the techniques learnt in class (MICRO-428) and will put them to practice with experiments in the laboratory. There will be a practical training for each theme covered in class; the students will also learn good practices during measurements (lab notebook included). Quantum and nanocomputing (EN) The course teaches non von-Neumann architectures. The first part of the course deals with quantum computing, sensing, and communications. The second focuses on field-coupled and conduction-based nanocomputing, in-memory and molecular computing, cellular automata, and spintronic computing. Computational motor control (EN) The course gives (1) a review of different types of numerical models of control of locomotion and movement in animals, from fish to humans, (2) a presentation of different techniques for designing models, and (3) an analysis of the use and testing of those models in robotics and neuroprosthetics. Conceptual design of products and systems (FR) Reverse engineering – a methodology of discovering the technological principles of a device, object, or system through analysis of its structure, function and operation. The purpose is to deduce design decisions from end-products with little or no additional knowledge about the original production. Manufacturing systems and supply chain dynamics (EN) This course discusses quantitatively some important and generic performance and reliability issues that affect the behavior of manufacturing systems and supply chains. Applied Electromagnetics for Metamaterial Design (FR) This course provides the students with the appropriate electromagnetics foundation to understand, model and design metamaterials, especially two-dimensional electromagnetic and optical structures such as metasurfaces. This course covers concepts that apply to both the microwave and optical regimes. Basics of robotics for manipulation (EN) This course introduces the basics of robotics for manipulation. The aspects concerning robot architectures (Serial , Parallel and Cartesian), sensors, kinematics and dynamic modelling and control are presented. Each of these theoretical topics is i concern with a industrial context. Applied and industrial robotics (EN) This course is a real contact with industrial robotic applications. Components and mechanisms are reminded. The fields of microtechnical assembly and packaging are treated. CTOs from established companies (BlueBotics, Adept, Maxon motors and UniTechnologies) are involved in this course. Basics of mobile robotics (EN) This course gives an overview of the field of mobile robotics, introducing to the main techniques and allowing to test them in exercises and a team-based project. Robotics practicals (EN) The goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic devices, all the way to interactive robots. Machine learning I (EN) Real-world engineering applications must cope with a large dataset of dynamic variables, which cannot be well approximated by classical or deterministic models. This course gives an overview of methods from Machine Learning for the analysis of non-linear, highly noisy and multi dimensional data Learning and adaptive control for robots (EN) To cope with constant and unexpected changes in their environment, robots need to adapt their paths rapidly and appropriately without endangering humans. this course presents method to react within millisecunds. Fundamentals of integrated photonic components (EN) This course gives an introduction to basic integrated photonics components that are at the core of photonic nanotechnologies today. The course combines theoretical description with practical lab work where students will do simulations in CST Microwave Studio. MEMS Actuator practicals (EN) The goal of this practical work is to create thermal micro-actuators consisting of micro-cantilevers made out of silicon dioxide and covered by chromium meander-shaped electrical tracks and contact pads. Aerial robotics (EN) The course provides an introduction to the design, control, and applications of aerial robots. Students will be able to translate theoretical concepts into practice by means of hands-on exercises with simulated and real drones. MEMS sensors practicals (EN) The objective of this practical is to apply in specific experimental settings the knowledge acquired in various MEMS related class. Organic and printed electronics (EN) This course addresses the implementation of organic and printed electronics technologies using large area manufacturing techniques. It will provide knowledge on materials, printing techniques, devices, systems, and applications: state of the art and current status on commercialization. Legged robots (EN) The course presents the design, control, and applications of legged robots. It gives a review of different types of legged robots (including two-, four- and multi-legged robots), and an analysis of different control methods for legged locomotion. Embedded motor control (FR) The student will be able to design, implement and program a motor control electronic. He will know how to apply the theory of motor control to real systems. Image processing I (EN) Introduction to the basic techniques of image processing. Introduction to the development of image-processing software and to prototyping using Jupyter notebooks. Application to real-world examples in industrial vision and biomedical imaging. Image processing II (EN) Study of advanced image processing; mathematical imaging. Development of image-processing software and prototyping in Jupyter Notebooks; application to real-world examples in industrial vision and biomedical imaging. Nanophotonics (EN) Students understand and apply the physics of the interaction of light with semiconductors. They understand the operating mechanism of scaled photonic devices such as photodetectors, LEDs and lasers, as well as challenges and opportunities relating to their integration and dimensional scaling. Optical design with ZEMAX (EN) Introduction to computer-aided design of optical systems using “ZEMAX OpticStudio” optical design software. Principles of optical systems design and performance analysis with geometrical optics and raytracing. Evaluation and minimization of optical aberrations in an optical design. Quantitative imaging for engineers (EN) This course will arm students with knowledge of different imaging techniques for practical measurements in many different fields of engineering.
Modalities will range from drone imaging all the way down to x-ray microscopy with practical sessions Laser microprocessing (EN) The physical principles of laser light materials interactions are introduced with a large number of industrial application examples. Materials processing lasers are developing further and further, the lecture presents the physical limitations of the processes. Optical detectors (EN) Students analyse the fundamental characteristics of optical detectors, their architectures, selected applications and case studies. Photoemissive devices, photodiodes, infrared and single-photon detectors are studied. CCD, CMOS and SPAD cameras are analysed in detail, including advanced systems. Nanotechnology (EN) This course gives the basics for understanding nanotechnology from an engineer’s perspective: physical background, materials aspects and scaling laws, fabrication and imaging of nanoscale devices. Advanced MEMS & microsystems (EN) In depth analysis of the operation principles and technology of advanced micro- and nanosystems. Familiarisation to their implementation into products and their applications. Haptic human robot interfaces (EN) This course teaches basic knowledge on haptic devices, force feedback and mechanical man-machine interfaces. Lectures are about 40 %, the rest is hands-on practical work with the “haptic paddle”, a complete mechanical device with full laptop control interface. Realization of project in groups of 2. Iontronics (EN) Iontronics is an emerging field that focuses on the use and control of ions as signal carriers to perform specific tasks. The course covers the fundamentals of iontronics and introduces its applications in many fields. Seminars in Electrical and Micro Engineering (EN) This course introduces broad research directions in electrical and micro engineering through a series of weekly, wide-audience seminars delivered by distinguished speakers. The students practice transferable skills, including active listening, critical thinking, and scientific communication. Fundamentals of biomicroscopy (EN) Introduction to the basic operational principles of the most commonly used optical microscopes such as widefield and fluorescence.
Introduction to essential microscopy components such as lenses, objectives, filters, cameras and light sources. Experimental biomicroscopy (EN) By combining hands-on and theoretical training, this course introduces commonly used optical microscopy techniques. The lab training takes place in BIOP Core Facility and provides access to use microscopes and image biological samples. Theoretical part covers their basic operation principles. Fundamentals & processes for photovoltaic devices (EN) The objective of this lecture is to give an in-depth understanding of the physics and manufacturing processes of photovoltaic solar cells and related devices (photodetectors, photoconductors). The principle and techniques addressed in this lecture will be useful in a wide range of related fields. Seminar in physiology and instrumentation (FR) To get familiar with the state-of-the-art in medical and bio-instrumentation. To acquire basic understanding of related physiology associated to these instruments. Micro-magnetic field sensors and actuators (EN) The course provides the basis to understand the physics, the key performance, and the research and industrial applications of magnetic sensors and actuators. Together with a detailed introduction to magnetism, several magnetic sensors
and actuators are studied. Optical MEMS and micro-optics (EN) Micro-optics and Optical MEMS let us shape light with unmatched precision and speed. From fiber networks to LIDAR, they drive innovation in compact systems. MICRO 605 takes you from core principles to breakthrough applications in this fast-evolving field. Scaling in MEMS (EN) This doctoral class covers the scaling of MEMS devices, including mechanical, thermal, electrostatic, electromagnetic, and microfluidic aspects. Optical Computing (EN) In this course we will start with a brief history of optical computing, describe methods for implementing optical interconnection and logic and then spend most of our time on learning about the recent efforts in optical computing machines for machine learning. Electrochemical nano-bio-sensing and bio/CMOS interfaces (EN) Main aim of the course is to introduce, in designing of modern wearable and implantable devices, the new concept of co-design three system’ layers: Bio for Specificity, Nano for Sensitivity, and CMOS for autonomy. Recent examples of devices realised for m-Health are presented and deeply discussed. Energy Autonomous Wireless Smart Systems (EN) The course provides in depth knowledge on how to design an energy autonomous microsystem embedding sensors with wireless transmission of information. It covers the energy generation, power management, and data processing and transmission with an emphasis on low-power and energy efficient operation. Soft Microsystems Processing and Devices (EN) Amongst others, following topics will be covered during the course:
– Soft Microsystems and Electronics
– Electroactive polymers
– Printed electronics and microsystems
– Inkjet printing of polymers
– Stretchable electronics
– Mechanical reliability
– Stencil lithography
– Scanning Probe Lithography MOOC: Micro and Nanofabrication (MEMS) (EN) Micro- and nanofabrication can be taught to students and professionals by textbooks and ex-cathedra lectures, but the real learning comes from seeing the manufacturing steps as they happen. This MOOC will not only explain the basics of microfabrication but also show the practice through videos. Modelling micro-/nano- field effect electron devices (EN) The course provides an in depth modeling of emerging field effect transistors in CMOS technologty. Starting from the basis, the course will gardually introduce essential aspects to end up with a rigorous description of key features, Nanowire FET & its application to biosensing will also be analyzed. Wearables and implantables for personalized and preventive healthcare (EN) This multidisciplinary course presents, from both engineering and medical perspectives, the state-of-the-art, applications and impact of wearable and implantable technologies, with focus on cardiovascular healthcare shift from intervention-based to personalized and preventive medical strategies. Selected topics in advanced manufacturing (EN) The course aims to provide a comprehensive overview of ongoing advanced manufacturing research topics and an opportunity for students to investigate current research trends. Advanced micro-/nano- manufacturing (EN) This course contains lectures covering the latest research and development done in the field of micro-/nano- manufacturing methods and processes.
It consists on an intensive 5 days training and is done in the framework of a collaboration between FEMTO-ST in France and EPFL. Single-photon detectors (EN) Students analyse the fundamental characteristics of single-photon detectors, their specific strengths and architectures, selected applications and case studies. Topics will include solid-state detectors, such as SPADs, photoemissive devices, and superconducting detectors, such as SNSPDs. Sustainable lab practices for engineering (EN) This course equips researchers to assess and reduce the environmental impact of laboratory research. Through lectures, workshops, and project work, participants learn to measure their lab’s carbon footprint, apply sustainability frameworks,
and lead metric-driven sustainability initiatives. Microfluidics for lab-on-a-chip (EN) The course covers the entire field of lab-on-a-chip technology, including microfluidic principles and various microfabrication approaches, and presenting concrete examples of devices for (bio)analysis, cell biology, tissue regeneration and microreactors. 3D Printing with light (EN) Optical aspects of 3D printing technology. This includes optical systems for scanning and excitation, photopolymers, glass and other photoactive materials, and optical components fabricated with 3D printing technology. Advanced topics in micro- and nanomanufacturing: top-down meets bottom-up (EN) This course introduces advanced fabrication methods enabling the manufacturing of novel micro- and nanosystems (NEMS/MEMS). Both top-down techniques (lithography, stenciling, scanning probes, additive techniques) and bottom-up approaches (self-assembly) are presented. Advanced Photonics (EN) The course offers an overview on selected advanced photonics topics. It targets students with a broad photonics background or equivalent, who are willing to broaden their knowledge in the discipline. The course is given by lecturers from both EPFL and FEMTO-ST. Beyond CMOS devices and advanced computing architectures (EN) This course provides the trends in nanoelectronics for scaling, better performances and lower energy per function. It
covers fundamental phenomena of nanoscale devices, beyond CMOS steep slope switches, emerging architectures,
cryo electronics, non-volatile memories and energy efficient smart sensin Introduction to materials science (FR) Ce cours met en relation les différents niveaux de structuration de la matière avec les propriétés mécaniques, thermiques, électriques, magnétiques et optiques des matériaux.
Des travaux pratiques en laboratoire et un projet de groupe permettent d’appréhender le métier d’ingénieur en matériaux. Materials:from chemistry to properties (FR) This course enables to acquire the essential notions relative to the structure of matter, equilibrium and chemical reactions in relation to mechanical, thermal, electric, and magnetic properties of materials. Materials:from chemistry to properties (FR) This class will teach the fundamental concepts regarding materials and their micro-structure, as well as the equilibrium and dynamics of chemical reactions. A link will be made between these concepts and the mechanical, thermal, electrical, magnetic and optical properties of materials. Materials (FR) Introduction course of material science applied to usual building materials, especially concrete and metals. Description of their fabrication, mechanical and thermal properties and use in construction. Continuum mechanics (FR) In this course, the tools to describe the materials not at the atom level but as a continuum are presented. The stress and deformation tensors, the conservation laws (mass, energy, momentum), the linear elasticity and the Newtonian flow are treated using examples of practical applications. Thermodynamics for materials science (EN) This course establishes the basic concepts of thermodynamics and defines the main state functions. The concepts are then applied to the study of phase diagrams of various systems. Materials mechanics (FR) Mechanics of deformable solids is introduced to determine stresses and strains into various isotropic materials loaded in tension, compression, shear, torsion and bending. Failure criteria and limits of elasticity are discussed. Structures from engineering and biology are provided. Rheology and fluid mechanics (FR) This course is an introduction to the rheology of linear viscoelastic solids, and to fluid flow and methods used in rheology of fluids. Various types of fluids and phenomena are considered with various exemples, Newtonian or non-newtonian liquids, turbulence, reactive systems and suspensions. Functional properties of materials (FR) The main objective of this course is to present the concepts allowing the understanding of the fundamental principles that enable to predict the properties of the materials. The goal is that with these concepts, one will be able to realize material design and/or to understand novel materials. Organic chemistry (EN) This course provides a basic foundation in organic
chemistry and polymer chemistry, including chemical nomenclature of organic compounds and polymers, an understanding of chemical structures, chemical reaction mechanisms, as well as methods of organic and polymer synthesis. Probability and statistics for materials science (EN) The course establishes the concepts of statistical analysis, probability theory, and data analysis. This includes standard statistical tests, correlation analysis and experimental design. It introduces computational statistical methods to analyse large data sets. Materials engineering I (EN) An introduction to the processing-microstructure-property relationships of polymers and metals. The objectives of the course are to understand a) basic behaviors of polymers and metals and b) how to select materials for components relevant in microtechnology Materials engineering II (FR) After Materials engineering I on polymers and metals, the links between processing-structures-properties of ceramics for microtechnology are presented. Hands-on works will allow to process and characterize properties of the 3 types of materials. Mechanical behaviour of materials (FR) This course provides an introduction to the mechanical behaviour, the processing, the structure and life-cycle of major classes of structural materials (metals, polymers, ceramics and composites). Metals and alloys (FR) Introduction to metals and alloys used in engineering, and to the relationships between their processing, their microstructure and their mechanical behaviour, taught with focus on the three main engineering metal alloy systems, namely alloys of aluminium, copper, and iron. Practice in materials (FR) TPs matériaux BA4 aim at illustrating the notions seen in the classes Introduction à la Science des Matériaux and Métaux et Alliages. The link between microstructure, process and properties is emphasized, together with the analysis of measurements and the writing of a report. Structure of materials (EN) Introduction to materials structure including crystallography, the structure of amorphous materials such as glasses, polymers and biomaterials as well as the basics of characterization techniques. Phase transformations (FR) This course is an introduction to the thermodynamics and crystallography liquid-solid and solid-solid phase transformations. It is essentially focused on metallic materials, but will occasionally make extensions to ceramics and rocks. Surfaces and interfaces (EN) This lecture introduces the fundamental concepts for describing, characterizing, and engineering surfaces and interfaces. Students will develop both theoretical and practical understanding of how interfacial phenomena influence surface properties and technological applications. Introduction to atomic-scale modeling (EN) This course provides an introduction to the modeling of matter at the atomic scale, using interactive Jupyter notebooks to see several of the core concepts of materials science in action. Crystalline materials: structures and properties (EN) The properties of crystals and polycrystalline (ceramic) materials including electrical, thermal and electromechanical phenomena are studied in connection with structures, point defects and phase relations. The students learn how to analyse/predict properties based on structure, symmetry and defects Deformation of materials (FR) Introduction to deformation mechanisms in inorganic materials: elasticity, plasticity and creep. Corrosion and protection of metals + Laboratory Work (FR) This introductory corrosion course aims at familiarizing the student with the mechanisms of corrosion, with various forms of corrosion and with the principles of protection against corrosion. Building materials + Laboratory work (FR) Materials science of common non metallic building materials, with emphasis on cementitious materials (concrete). Chemical composition, fabrication and behaviour in service Ceramic and colloidal processing (EN) The course covers the production of ceramics and colloids from the basic scientific concepts and theories needed to understand the forming processes to the mechanisms and methods of sintering (firing) ceramics. Including the scientific principles behind the formation of colloidal dispersions. Polymer composites + Laboratory Work (FR) Mechanical and physical properties of anisotropic materials and calculation tools are presented. Constituents, processing techniques and structure-processing-properties relationships are given for different types of organic matrix composites. Applications in transport,sport and energy are discussed. Sustainability and materials (EN) This course addresses sustainability across the materials life cycle, from extraction to end of life. Students learn the concepts, metrics, and tools to evaluate the environmental and societal impacts of materials, then apply them to real-world cases. Surface analysis (EN) The course treats the main surface analysis methods for the characterization of surfaces, interfaces and thin films. It discusses how these methods can be applied to gain specific knowledge about structural, chemical and functional properties of surfaces and thin films. Limitation to 18 students! Introduction to microscopy + Laboratory work (FR) This course of introduction to microscopy aims at giving an overview of the various techniques of microstructure and composition analysis of materials. It focuses in particular on electron and optical microscopy. This course is composed of lectures and practical demonstrations on microscopes. Polymer science + TP (EN) Introduction to polymer physics and the link between chemical structure and macroscopic properties, with emphasis on morphology and thermomechanical behaviour, polymer technology and manufacturing techniques, providing a basis for the rational selection of polymers in an industrial context. Polymer science (EN) Introduction to polymer physics and the link between chemical structure and macroscopic properties, with emphasis on morphology and thermomechanical behaviour, polymer technology and manufacturing techniques, providing a basis for the rational selection of polymers in an industrial context. Finite element theory and practice (FR) The aim of this class is to understand the finite element method i.e. the weak and strong variational formulations and the resolution schemes in space and time. The second part of the semester is dedicated to the practice using the commercial program Abaqus. Materials project (FR) The student applies the acquired skills to an academic or industrial projects. Cementitious materials (advanced) (EN) This course provides students with the scientific and engineering foundations to develop next-generation low-carbon cementitious materials. It links composition, processing, microstructure, performance, durability, and environmental impact to advance sustainable construction. Statistical mechanics (EN) This course presents an introduction to statistical mechanics geared towards materials scientists. The concepts of macroscopic thermodynamics will be related to a microscopic picture and a statistical interpretation. Lectures and exercises will be complemented with hands-on simulation projects. Advanced metallurgy (EN) This course covers the metallurgy, processing and properties of modern high-performance metals and alloys (e.g. advanced steels, Ni-base, Ti-base, High Entropy Alloys etc.). In addition, the principles of computational alloy design as well as approaches for a sustainable metallurgy will be addressed Fundamentals of solid-state materials (EN) Fundamentals of quantum mechanics as applied to atoms, molecules, and solids. Electronic, optical, and magnetic properties of solids. Fracture of materials (EN) This course covers elementary fracture mechanics and its application to the fracture of engineering materials. Soft matter (EN) The first part of the course is devoted to the self-assembly of molecules. In the second part we discuss basic physical chemical principles of polymers in solutions, at interfaces, and in bulk. Finally, we look at colloids and emulsions. Physical chemistry of polymeric materials (EN) The student has a basic understanding of the physical and physicochemical principles which result from the chainlike structure of synthetic macromolecules. The student can predict major characteristics of a polymer from its chemical structure and molecular architecture. Introduction to magnetic materials in modern technologies (EN) Interactive course addressing bulk and thin-film magnetic materials that provide application-specific functionalities in different modern technologies such as e.g. wind energy harvesting, electric article surveillance, spintronics, sensing, and data storage. Towards sustainable materials (EN) This course will address and model key sustainability issues through an engineering lens. It will examine emerging materials, hard to abate, and critical materials used to manufacture items in our economy during the transition to NetZero targets and their environmental, societal, and human impacts. Material science at large scale facilities (EN) This course provides a broad introduction into materials research using synchrotron X-rays, neutrons and myons. After an introduction into large scale facilities, we will dive into the different methods, including application examples from various fields of materials science. Polymer chemistry and macromolecular engineering (EN) Know modern methods of polymer synthesis. Understand how parameters, which determine polymer structure and properties, such as molecular weight, molecular weight distribution, topology, microstructure can be controlled by proper choice of polymerization method and optimization of reaction condition Composites technology (EN) The latest developments in processing and the novel generations of organic composites are discussed.
Nanocomposites, adaptive composites and biocomposites are presented. Product development, cost analysis and study
of new markets are practiced in team work. Electrochemistry for materials technology (EN) This course aims at familiarizing the student with state of the art applications of electrochemistry in materials science and technology as well as material requirements for electrochemical engineering. Electron microscopy: advanced methods (EN) With this course, the student will learn about advanced methods in transmission electron microscopy, especially what is the electron optical setup involved in the acquisition, and how to interpret the data. After the course, students will be able to understand and assess TEM encountered in papers. Thin film fabrication technologies (EN) The students will learn about the essential chemical, thermodynamic and physical mechanisms governing thin film growth, about the most important process techniques and their typical features, including process-microstructure-film properties relationships. Wood structures, properties and uses (EN) The presentation of tree growth and formation of wood anatomical structures, linked to the description of specific physical and mechanical properties, makes it possible to understand the different forms of utilisation of this material, including aspects of sustainable development. IMX Colloquium (autumn) (EN) A series of seminars on selected current and emerging topics in Materials will be presented by experts.
Biomaterials (pour MX) (EN) This course introduces the principles governing biomaterials and their interactions with biological systems. Topics include material properties, biointerfaces, mechanobiology, drug delivery, tissue engineering, and immune engineering, with emphasis on design, performance, and clinical translation. Materials selection (EN) Propose suitable materials, design, and production routes depending on different performance criteria using a computer based software approach. The course is based on Prof. Mike Ashby’s well known “Ashby plots” comparing different material properties (mechanical, thermal, chemical, etc.). Optical properties of materials (EN) Students will study fundamental principles of light-matter interaction and apply classical and quantum mechanical models for quantitative estimates. Optical phenomena in glasses, organic/inorganic semiconductors, liquid crystals, quantum structures as well as device applications will be treated. Advanced phase transformations (EN) This course provides an overview of the phenomenological concepts and mathematical tools that have been developed to study the thermodynamics, kinetics and mechanics of phase transformations. Tribology (EN) This introductory course in tribology (science of friction, lubrication and wear) has specific goals : to present the basic principles of tribology, to develop the attitude to analyse tribological and to illustrate correlations between materials and tribological properties.
Organic electronic materials (EN) This course will introduce students to the field of organic electronic materials. The goal of this course is to discuss the origin of electronic properties in organic materials, charge transport mechanisms, chemical synthesis, materials processing, and device fabrication. Mathematical methods for materials science (EN) The aim of the course is to review mathematical concepts learned during the bachelor cycle and apply them to concrete problems commonly found in Engineering, and Materials Science in particular. Engineered living materials (EN) This course provides an introduction to the topic of engineered living materials (ELMs), a class of materials that incorporates living cells, thus enabling distinct functionalities such as the ability to grow, heal, adapt, sense, and respond. Quantum materials: fundamentals and applications (EN) Introduces the exceptional electromagnetic and optical properties of low-dimensional, Dirac and superconducting materials – the quantum-mechanical models that explain them, and experimental techniques to probe them. Surveys new applications in information processing, sensing, energy technologies.. Advanced ceramic technologies (EN) Advanced ceramic processing concepts and technologies will be presented. Students will learn concepts on advanced technologically-relevant ceramic materials for a wide range of applications from MedTech, energy conversion & storage, with insights on sustainability & material lifecycle. Charge transport in energy conversion and storage (EN) Fundamental concepts of charge transport in solar cells, batteries, and electrolysers, emphasizing analogies between semiconductor physics and electrochemistry. Introduction to food science and technology (EN) We consider food as a material at molecular & micro-structure levels, in relation to nutritional and organoleptic properties. We will learn about food process engineering principles applied to create taste and texture. We explore aspects of environmental sustainability, economy and public health. Effects of radiation on materials (EN) The purpose of this course is to provide the necessary background to understand the effects of irradiation on pure metals and on alloys used in the nuclear industry. The relation between the radiation-induced defects and the evolution of the mechanical properties is highlighted. Nanofabrication with focused electron and ion beams (EN) Nanofabrication with focused charged particle beams (SEM, FIB) and their applications such as lithography, gas assisted deposition / etching, and milling are discussed and the limitations of these processes are developed based on the acquired understanding of the interactions. X-Ray Analysis for thin films (EN) Intro into the relation between physical and structural properties; introduction into different X-Ray techniques; examples of successful technological transfer using X-Ray techniques;
Structural properties; coherent and non coherent scattering; high resolution X-Ray techniques;
stress; coatings. CCMX Advanced Course – Advanced X-ray Diffraction Methods for Coatings: strain, defects and deformation analysis of thin films (EN) After introducing thin film and HR-XRD characterisation methods, theory and limitations are discussed, including examples and how the film structure influences its characteristics. Protocols are presented for establishing reproducible and reliable measurements, and for interpreting their results. Scanning electron microscopy techniques (a) (EN) This intensive course is intended for researchers who envisage to use scanning electron microscopy techniques for their
research or who want to understand how to interpret SEM images and analytical results presented in scientific
publications. Scanning electron microscopy techniques (b) (EN) This intensive course is intended for researchers who envisage to use scanning electron microscopy techniques for their
research or who want to understand how to interpret SEM images and analytical results presented in scientific
publications. Transmission electron microscopy and diffraction (a) (EN) This intensive course is intended for researchers who envisage using transmission electron microscopy to study materials samples or to help them interpret TEM data in publications. It presents basics of TEM instrumentation, imaging, electron diffraction, specimen preparation and high-resolution TEM. Transmission electron microscopy and diffraction (b) (EN) This intensive course is intended for researchers who envisage using transmission electron microscopy to study materials samples or to help them interpret TEM data in publications. It presents basics of TEM instrumentation, imaging, electron diffraction, specimen preparation and high-resolution TEM. Statistical methods in atomistic computer simulations (EN) The course gives an overview of atomistic simulation methods, combining theoretical lectures and hands-on sessions. It
covers the basics (molecular dynamics and monte carlo sampling) and also more advanced topics (accelerated sampling
of rare events, and non-linear dimensionality reduction) Optical Materials: Fundamental concepts and recent developments (EN) In this class we will review the fundamental origin of the optical properties exhibited by different classes of materials. We will then give examples of the most up-to-date research on optical materials in a few growing scientific and technological fields. Crystal growth by epitaxy (EN) This is an interactive course explaining the main physical and chemical concepts to understand epitaxy of crystalline thin films and what determines the morphology, composition and structure of a material grown per epitaxy both in the bulk and as nanostructure. CCMX Advanced Course – Instrumented Nanoindentation (EN) This course is intended for current nanoindentation users who want to gain the experience and knowledge required to extract useful data from challenging sample materials. It is also intended for users of conventional indentation methods who wish to add this approach to their portofolio of methods. Electrochemistry in Corrosion Research (EN) This course introduces the basic principles of electrochemistry, focusing on corrosion research. It covers the basics of corrosion testing and monitoring techniques, such as linear polarization, cyclic voltammetry and electrochemical impedance spectroscopy (EIS). Limestone-Calcined Clay – Cement : Characterisation methods (EN) Le but est de former doctorants et post doctorants aux méthodes de charactérisation des ciments composés comme la microstructure, la diffraction des rayons X, la calorimétrie, la formulation et la durabilité dans le cadre des actions internationales du project LC3 financé par la DDC. Limestone-Calcined Clay – Cement : Characterisation methods (SPRING) (EN) Le but est de former doctorants et post doctorants aux méthodes de charactérisation des ciments composés comme la
microstructure, la diffraction des rayons X, la calorimétrie, la formulation et la durabilité dans le cadre des actions
internationales du project LC3 financé par la DDC. Powder Diffraction School – Modern Syncrotron Methods (EN) Modern synchrotron-radiation methods not only provide data of exceptional quality, but have allowed previously inaccessible experiments to be performed. The school will give a broad overview of all possibilities using synchrotron radiation, including hands-on practicals. Additive Manufacturing of Metals and Alloys (EN) This course is designed to cover a number of materials science aspects related to the field of additive manufacturing of metals and alloys, and to provide an in-depth review of corresponding fundamentals. CCMX Tribology and Surfaces Interactions (EN) This course is intended to give to the participants (graduates, researchers and industrial professionals) a solid background in tribology and surface interactions. It covers the fundamentals concepts of tribology including surfaces, contact mechanics, friction, lubrication and wear. Non-destructive methods for industry and research (EN) Basic knowledge ofthe classical non-destructive testing methods as they are used today in industrial applications and the advanced
(mosily imaginé) technologies used for the analysis of materials and components in special applications. lt covers several material groups and various applications. Thin film and small scale mechanics (EN) The course focuses on mechanics of solid thin films and small scale structures and on state-of-the-art experimental techniques employed for evaluation and extraction of thin films and small scale structures mechanical properties. Lectures are example intensive, with in depth theoretical analysis. LNM Workshop 2023 (EN) Seminar for PhD/master-students and postdocs on experimental nuclear materials research and simulation for present and future nuclear systems, with some emphasis on advanced manufacturing and analytics. In a group project the students will work on and present scientific and framing aspects. Multidisciplinary NPs characterization (EN) Four experienced scientists will guide students into the world of NPs characterization with different approaches, from laboratory characterization to X-ray/neutron scattering and electron microscopy. The main knowledge acquired will concern the overview of possible complementary technique. Advanced Microscopy for Materials (EN) This course provides an overview of advanced materials characterization techniques, focusing on modern Scanning Electron Microscopy (SEM) combined with Focused Ion Beam (FIB) systems (dual-beam), as well as Transmission Electron Microscopy (TEM) and Atom Probe Tomography (APT). 3D Electron Microscopy and FIB-Nanotomography (EN) The principles of 3D surface (SEM) reconstruction and its limitations will be explained. 3D volume reconstruction and tomography methods by electron microscopy (SEM/FIB and TEM) will be explained and compared with x-ray tomography. Characterization of Materials 2025 (EN) This course introduces materials characterization techniques used by scientists and engineers. Lectures cover basic theory, applications, and limitations, while lab sessions offer hands-on experience, providing a well-rounded understanding of each method.
Scanning and Analytical Transmission Electron Microscopy (EN) This intensive course discusses advanced TEM techniques such as: scanning TEM; analytical TEM using EELS and EDX; aberration corrected imaging; and image simulation. It is intended for researchers who have taken the introductory TEM course MSE-637 or who have a good background in conventional TEM. Brain-like computation and intelligence (EN) Recent advances in machine learning have contributed to the emergence of powerful models of intelligence. In this course we will compare the behavior and underlying mechanisms between these models and biological brains. Neural signals and signal processing (EN) Understanding, processing, and analysis of signals and images obtained from the central and peripheral nervous system Neural interfaces (EN) Neural interfaces (NI) are bioelectronic systems that interface the nervous system to digital technologies. This course presents their main building blocks (transducers, instrumentation & communication), reviews current and upcoming materials and technological solutions for implantable & wearable NI Translational neuroengineering (EN) This course integrates knowledge in basic, systems, clinical and computational neuroscience, and engineering with the goal of translating this integrated knowledge into the development of novel methods, technology for the clinical application for patients suffering from neuropsychiatric disorders. Systems neuroscience (EN) The course “Systems Neuroscience” explores neural circuits and networks to understand how groups of neurons process information and generate behavior. It integrates techniques from neurophysiology, anatomy, genetics, and computer science to investigate complex brain cell interactions. Advanced methods for human neuromodulation (EN) Neuromodulation is an expending field especially in human translational neuroscience and neurotechnology. This course will introduce to different approaches / technologies for neuromodulation, their underlying mechanisms of action and application in humans in healthy and pathological conditions. Regulatory, quality and clinical affairs (EN) This regulatory, quality, and clinical module provides the essential tools and competencies to understand and apply the European and US regulatory frameworks for developing, validating, and marketing a medical device, outlining key compliance activities. Computational neurosciences: neuronal dynamics (EN) In this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by deterministic or stochastic differential equations.
La maîtrise du sol en droit suisse (FR) This course is an introduction to Swiss law. The goal of this course is to make aware the students of the 3 ENAC sections of the importance of this subject for their future profession and allow them to share their knowledges to “Design & Build together”. Making structural logic (EN) The ENAC week provides students the possibility to engage into an iterative process of testing and exploring structural and material limits and possibilities through the collaborative design and construction of structural elements in folded steel. The ENAC week will take place at EPFL Fribourg. Terra Epidermis (FR) This transversal project aims to test around a case study chosen, the specifics of ” reverse soil .” On a chose site, students will be invited to propose a single technical and architectural gesture, and synthesize their concept graphically. Constructive second hand (FR) Building second-hand means seizing the opportunity offered by the circular economy to improve design by reusing components from deconstruction, at minimum environmental cost. This week will introduce students to these concepts through hands-on experience. Chantier urbain : perception, gouvernance, usages (FR) This week ENAC aims to apprehend urban construction sites as key moments in the territorial fabric, in the articulation between urban planning and the effective implementation of a vision for the territory. Hidden rivers (EN) Hidden Rivers aims at fulfilling the need for an interdisciplinary understanding of the problematics surrounding urban streams, through ecological, hydrological, and spatial relationships found in riverscapes. The land of a thousand dances (EN) Let’s consider the act of maintenance as a potential for project making : let’s observe uses and traces that result from it in order to develop and carry out interventions that will allow us to reinforce, adapt, remove or increase the dynamics identified. This sixth round is taking place on campus. Rhonescape (EN) RHONEscape aims at realizing the necessary interdisciplinary educational background of the problematics affecting highly-corrected large rivers, by examining riverine ecological, hydrological and morphological spatial features with new methods of conceiving the space in and around rivers. Night in Lausanne (FR) This course will take an interdisciplinary approach to night in Lausanne. Through a nocturnal journey, we will take stock of the city as it exists at night time. During the week, we’ll collectively reflect on the future of nights in Lausanne, and present our initial ideas.
Floating offshore renewables (EN) The objective is to allow the students to work within a small group to develop a concept for offshore infrastructure for multifunctinal purposes. Adventure on Planet B (EN) This course will take students on a cosmic journey and then back to Earth to reflect on planetary challenges and their solutions. Stone masonry: Past, present, and future (EN) This course introduces students to the historical, structural, and environmental aspects of stone masonry. Emphasis is on understanding the role of stone masonry in architecture, basic structural behavior, and approaches to predict and assess the performance of stone masonry buildings.
Urban dialogues: sustainability and mediation (FR) This course, in partnership with HEP Vaud, deals with sustainable cities and the potential of cultural and scientific mediation. Environmental and social issues are addressed in relation to the Chamberonne River, with the aim of designing and running a mediation workshop for school classes. The city-tree (FR) This ENAC week is an invitation to question how cities are reinventing their relationship with living and natural entities, focusing in particular on the question of trees.
Forma urbis (FR) Some ancient cities are ruins, while others evolve, integrating their history into the urban fabric. These transformations create architectural palimpsests, making the city a living monument where past and present coexist and revealing captivating stories around every corner. Saxa Loquuntur: Culture of construction (EN) The course explores how material extraction, territorial change, trade, local traditions, and industrial production interconnect. By examining scales from territory to building detail, students learn how various professions interact to shape the built environment. Light as project driver (FR) This interdisciplinary course explores the structuring role of light in architectural design, in relation to the environment, materiality, comfort and energy performance. Students develop an exhibition pavilion project based on lighting intentions, using simulation tools, environmental analysis (LCA Living in Mars (FR) This course proposes to students of the 3 ENAC sections (AR,GC,SIE) to design in groups a space habitat on planet Mars. In an interdisciplinary way, they will approach problematics which they will have to analyze, interpret, integrate and represent. Urban planning in the South (FR) This course is an introduction to the technical and conceptual tools essential to urban planning and evidence-based decision-making. These tools are introduced in the context of cities in the Global South, in order to understand the spatial and social dynamics behind urbanisation. TRC LC3 Research Platform Fribourg (EN) The UE TRC-LC3 Research Platform Fribourg will develop prototypes of structural elements in textile reinforced concrete (TRC) and Limestone Calcined Clay Cement (LC3) concrete that allow the continuation of the TRC prototype pavilion started at EPFL in 2019. The UE will take place in EPFL Fribourg. Urban neighborhoods, infrastructures and sustainable development (FR) This ENAC Teaching Unit aims to present and implement new concepts of sustainable urban neighbourhood planning. SKIL Student Kreativity and Innovation Laboratory (EN) This course will allow students to engage in hands-on projects that can be defined by themselves, in a dedicated workshop environment. Students work together in small groups, with access to a wide range of tools, materials, software, etc. – assisted by highly specialized labmanagers. DRAG(UE): Performativity and the built environment (FR) The built environment will be explored through its performativity, thanks to perspectives offered by gender studies as well as queer and feminist theories. Discussions will enable a critical analysis of our environments in terms of their social frameworks and norms. Border Forensics (EN) The course will introduce students to different forms of violence related to the existence of state borders and social boundaries in Switzerland. Grounded into the work of the agency Border Forensics, it will focus on investigative methods to document and contest this violence. Navigating exhausted landscapes (EN) This course focuses on the challenges of transforming urban industrial sites in light of the living dynamics that run through them. It aims to experiment with an interdisciplinary approach their regeneration through the prism of a field investigation and a construction of a vision. Urban voids: mind the gap! (EN) This course focuses on transforming urban voids, like vacant lots or abandoned buildings, into valuable spaces addressing challenges such as climate change and social cohesion. It equips engineers and architects with interdisciplinary skills to creatively repurpose these areas for multiple benefits. International Geneva: An urban system in crisis (FR) This course explores the challenges facing Geneva’s international ecosystem in the context of declining multilateralism and reduced U.S. support. Using the concept of the urban system, students analyze how political shifts impact institutions, real estate, and territorial structures. Cognitive Landscapes (EN) This course explores how brainwave dynamics can inform urban design through cross-frequency coupling as a model for adaptability, variability, and integration in urban systems. Advanced physics I (mechanics) (FR) Introductory Physics I (advanced) covers the mechanics of point particles and solids. The purpose of the course is to develop the ability to describe physics phenomena by using mathematical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (IN) (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanics of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (English) (EN) Students will learn the principles of mechanics to enable a better understanding of physical phenomena, such as the kinematics and dyamics of point masses and solid bodies. Students will acquire the capacity to quantitatively analyze these effects with the appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanics of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : mechanics (flipped classroom) (FR) The course establishes the basic notions that will allow the student to have a better understanding of the physical phenomena in mechanics. The students acquires the capability to quantitatively analyse the consequences of these effects with appropriate theoretical tools. General physics : mechanics (english flipped classroom) (EN) The principles of classical mechanics successfully describe many phenomena encountered in the world. In this course students will develop a conceptual understanding of the core concepts and an ability to apply the theoretical framework to describe and predict the motions of solid bodies. Advanced physics II (thermodynamics) (FR) This course presents thermodynamics as a means of describing a large number of important phenomena in physics, chemistry, and engineering, including transport effects. An introduction to statistical physics reinforces the notions acquired thanks to microscopic modeling. General physics : thermodynamics (FR) Give the students the basic notions that will allow their to have a better understanding of physical phenomena. Acquire the capability to analyse quantitatively the consequences of these effects with appropriate theoretical tools.
General physics : thermodynamics (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : thermodynamics (FR) The goal of General Physics is to give the student the basic notions to have a better understanding of physical phenomena. This objective is attained when the student can quantitatively analyse the consequences of these effects with the appropriate theoretical tools. General physics : thermodynamics (English) (EN) Students acquire the abilities to analyze physical systems through the lens of thermodynamics and statistical physics. General physics : thermodynamics (FR) Provide the student with the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyze quantitatively the consequences of these effects with appropriate theoretical tools. General physics : fluids and electromagnetism (FR) The course covers two important chapters of physics: physics of fluids and electromagnetism. An introduction to the physics of waves is also given in order to study the solutions of the equations of hydrodynamics and Maxwell’s equations.
General physics : thermodynamics (for chemistry) (FR) Give the student the basic notions that will allow him or her to have a better understanding of physical phenomena, such as the mechanic of point masses. Acquire the capacity to analyse quantitatively the consequences of these effects with appropriate theoretical tools. General physics : electromagnetism (FR) The course covers the concepts of electromagnetism, with the support of experiments. The covered topics include electrostatics, electric current and circuits, magnetostatics, electromagnetic induction, Maxwell’s equations, and electromagnetic waves. Physics lab (metrology) (FR) This course is a practical introduction to classical measurement techniques in a physics laboratory. It aims at familiarising the students with data acquisition, sensors, signal processing, vacuum and cryogenics. Building physics (FR) This course covers the main physical phenomenon occurring within buildings and will allow the student to acquire basic knowledge in the field of building science. Physics III (EN) The students understand and apply the physics of fluids, and the basics of electromagnetism and electronic schemes General physics : electromagnetism (FR) The topics covered by the course are concepts of electromagnetism and electromagnetic waves. General physics: electromagnetism (EN) The course covers the phenomena, concepts and principles of electricity and magnetism illustrating some of their applications. The unity of the electric, magnetic and optical phenomena and the variety of their applications are emphasized. General physics : electromagnetism (FR) Introduction to fluids mechanics, to electromagnetism, and to wave phenomena. General physics : electromagnetism (FR) This course introduces electrostatics and magnetostatics, then electromagnetic coupling in a time-varying regime and the resulting wave perturbation phenomena. Certain analogies are used to connect to prior knowledge from general physics and to introduce a few fundamental laws of fluid dynamic. General physics: electromagnetism (EN) Introduction to electromagnetism. Analytical mechanics (for SPH) (FR) This course offers an introduction to analytical mechanics. It introduces the Lagrangian and Hamiltonian formalisms, emphasizing their ability to simplify the description of constrained systems, symmetries, and conservation laws. Numerous examples of applications are presented.
Physics lab IIa (FR) This practical course provides a contact with basic physical phenomena and their applications, it should help students acquire knowledge about the methods of observation and measurement as well as data analysis and presentation. Physics IV (FR) Wave physics and introduction to special relativity. Quantum mechanics I (EN) The objective of this course is to familiarize the student with the concepts, methods and consequences of quantum physics. General physics : quanta (FR) The course treats electromagnetic waves, including both geometrical optics and physical optics, and
gives an introduction to quantum physics. Physique numérique (pour SPH) (FR) Formulate and solve physics problems using elementary numerical methods. Understand the advantages and limitations of these methods (stability, convergence). Illustrate various physics subjects seen in other courses. Physics lab IIb (FR) This practical course provides a contact with basic physical phenomena and their applications, it should help students acquire knowledge about the methods of observation and measurement as well as data analysis and presentation. Mathematical methods (for SPH) (FR) This course complements the analysis and linear algebra courses by providing further mathematical methods and techniques required for 3rd year physics courses, in particular electrodynamics and quantum mechanics. Data sciences (EN) This course introduces tools for data analysis in physics: numerical linear algebra, regression, dimensionality reduction, probability, statistics, uncertainty quantification, random walks, Monte Carlo methods and phase transitions, with Python exercises. Introduction to construction technics (FR) To get some basic notions as it concerns technical design, machining and practical electronics for physics laboratory activities. Biophysics : physics of the cell (EN) In this course we will study the cell (minimum unit of life) and its components. We will study several key cellular features : membranes, genomes, channels and receptors. We will apply the laws of physics to develop models to make quantitative and predictive statements. Physics of materials (EN) This course discusses materials physics associated with the mechanical and structural properties of solids, primarily focusing on the physics of dislocation defect dynamics and linking diffusion kinetics to the fundamental physics of phase transformations. Particles and fundamental interactions (EN) General overview of current knowledge in elementary particle physics: from relativistic kinematics to the phenomenological interpretation of high-energy collisions. Quantum physics II (EN) The aim of this course is to familiarize the student with the concepts, methods and consequences of quantum physics. Physics lab IIIa (FR) The students observe a number of physical phenomena and their technological applications. The course aims at acquiring knowledge about the methods of observation, measurement and experimental data analysis. The students practice scientific communication. Physics lab IIIb (FR) The students observe a number of physical phenomena and their technological applications. The course aims at acquiring knowledge about the methods of observation, measurement and experimental data analysis. The students practice scientific communication. Classical electrodynamics (EN) The goal of this course is the study of the physical and conceptual consequences of Maxwell equations. Introduction to plasma physics (FR) Introduction to plasma physics aimed at giving an overall view of the unique properties specific to a plasma. The models commonly used to describe its behavior are presented and illustrated with examples. Application to thermonuclear fusion and some astrophysical phenomena. Atomic, molecular physics and optics (EN) This course presents the fundamental physics of atoms and molecules, their structure and their interaction with electromagnetic fields. Solid state physics (FR) This lecture gives an introduction to Solid State Physics. We will treat crystal structure, lattice vibrations, electronic properties, electric and heat conductance, as well as magnetic properties. The level is the one of the book by Ashcroft & Mermin. Statistical physics (FR) This course introduces the fundamental principles of statistical physics, one of the most fundamental theories of modern physics, focusing on the description of collective phenomena from microscopic laws. Advanced computational physics (EN) The course covers dense/sparse linear algebra, variational methods in quantum mechanics, and Monte Carlo techniques. Students implement algorithms for complex physical problems. Combines theory with coding exercises. Prepares for research in computational physics and related fields. Fluid mechanics and soft matter (EN) This course introduces the core principles of fluid mechanics and connects them to the physics of soft matter systems such as colloids, polymers, emulsions, and biological materials. Emphasis is placed on understanding behavior bridging the microscopic and continuum perspectives. Nuclear physics (FR) Genral introduction to the physics of atomic nuclei: from bound states to scattering. Systèmes complexes (FR) This courses show how known (entropy, phase transitions) and new (glasses, percolation, avalanche-type response) physical concepts can be used in various fields (including Computer science, neuroscience, social sciences). Quantum mechanics for non-physicists (EN) This course introduces quantum mechanics to students who are interested in pursuing quantum science and technology but have not gone through the standard bachelor physics curriculum. The students will develop quantum intuition by working out numerical examples based on qubits and oscillator systems. Introduction to astrophysics: the basics (FR) General presentation of the methods and knowledge of modern astrophysics to illustrate our perception and understanding of the universe. This course constitutes the basis for more advanced courses, but also provides general ‘astrophysics’ culture for any student. Selected topics in nuclear and particle physics (EN) This course presents the physical principles and the recent research developments on three topics of particle and nuclear physics: the physics of neutrinos, dark matter, and plasmas of quarks and gluons. An emphasis is given on experimental aspects in these three research fields. Astrophysics IV : stellar and galactic dynamics (EN) The aim of this course is to acquire the basic knowledge on specific dynamical phenomena related to the origin, equilibrium, and evolution of star
clusters, galaxies, and galaxy clusters. Astrophysics V : observational cosmology (EN) Cosmology is the study of the structure and evolution of the universe as a whole. This course describes the principal themes of cosmology, as seen
from the point of view of observations. Computer simulation of physical systems I (EN) The two main topics covered by this course are classical molecular dynamics and the Monte Carlo method. Frontiers in nanosciences (EN) The course covers relevant experimental and theoretical concepts in nanoscale science, from fundamental aspects like quantum tunneling and quantum size effects, to hot topics like quantum transport and nanoscale magnetism. Particle physics I (EN) Presentation of particle properties, their symmetries and interactions.
Introduction to quantum electrodynamics and to the Feynman rules. Particle physics II (EN) This course aims to make students familiar and comfortable with the main concepts of particle physics, providing a clear connection between the theory and relevant experimental results, including the most recent ones from modern particle physics experiments. Solid state physics III (EN) The aim of this course is to provide an introduction to the theory of a few remarkable phenomena of modern condensed matter physics ranging from the quantum Hall effects to superconductivity. Solid state physics IV (EN) Solid State Physics IV provides a materials and experimental technique oriented introduction to the electronic and magnetic
properties of strongly correlated electron systems. Established knowledge is complemented by current research trends,
aiming to prepare the students for independent research. Plasma I (EN) Following an introduction of the main plasma properties, the fundamental concepts of the fluid and kinetic theory of plasmas are introduced. Applications concerning laboratory, space, and astrophysical plasmas are discussed throughout the course. Plasma II (EN) This course completes the knowledge in plasma physics that students have acquired in the previous two courses, with a discussion of different applications, in the fields of magnetic confinement and controlled fusion, astrophysical and space plasmas, and societal and industrial applications. Quantum physics III (EN) To introduce several advanced topics in quantum physics, including
semiclassical approximation, path integral, scattering theory, and
relativistic quantum mechanics Quantum physics IV (EN) Introduction to the path integral formulation of quantum mechanics. Gauge invariance. Derivation of the perturbation expansion of Green’s functions in terms of Feynman diagrams. Several applications will be presented, including non-perturbative effects, such as tunneling and instanton Relativity and cosmology I (EN) Introduce the students to general relativity and its classical tests. Relativity and cosmology II (EN) This course is the basic introduction to modern cosmology. It introduces students to the main concepts and formalism of cosmology, the observational status of Hot Big Bang theory
and discusses major physical processes in the early Universe. Quantum field theory I (EN) The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions. Quantum field theory II (EN) The goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions such as Quantum Electrodynamics. Semiconductor physics and light-matter interaction (EN) Lectures on the fundamental aspects of semiconductor physics and the main properties of the p-n junction that is at the heart of devices like LEDs & laser diodes. The last part deals with light-matter interaction phenomena in bulk semiconductors such as absorption, spontaneous & stimulated emission. Physics of photonic semiconductor devices (EN) Series of lectures covering the physics of quantum heterostructures, dielectric microcavities and photonic crystal cavities
as well as the properties of the main light emitting devices that are light-emitting diodes (LEDs) and laser diodes (LDs). Stochastic methods in classical & quantum physics (EN) Noise and fluctuations play a crucial role in science and technology. This course treats stochastic methods, applying them to both classical problems and quantum systems. It emphasizes the frameworks of fluctuation-dissipation theorems, stochastic differential equations, and Markov processes. Introduction to biomedical imaging (EN) This course introduces the fundamentals of biomedical imaging and provides an overview of the major imaging modalities used in medicine and biological research. It focuses on understanding the physical principles, the mechanisms of image formation, and their biomedical applications. Particle detection (EN) The course will cover the physics of particle detectors. It will introduce the experimental techniques used in nuclear and particle physics. The lecture includes the interaction of particles with matter, scintillators, gas detectors, silicon detectors, detectors for particle ID and photo-detectors. Statistical physics of biomacromolecules (EN) Biological macromolecules such as DNA, RNA, proteins and cytoskeletal filaments are polymers. As such, they share a set of properties that are common to any polymer, which are the focus of this course. Details about the protein folding problem will be covered in the last part. Modeling and design of experiments (EN) In the academic or industrial world, to optimize a system, it is necessary to establish strategies for the experimental approach. The DOE allows you to choose the best set of measurement points to minimize the variance of the results. The concepts learned are applicable in all areas. Physics of nuclear reactors (EN) In this course, one acquires an understanding of the basic neutronics interactions occurring in a nuclear fission reactor as well as the conditions for establishing and controlling a nuclear chain reaction. Nuclear fusion and plasma physics (EN) The goal of the course is to provide the physics and technology basis for controlled fusion research, from the main elements of plasma physics to the reactor concepts. Introduction to particle accelerators (EN) The course presents basic physics ideas underlying the workings of modern accelerators. We will examine key features and limitations of these machines as used in accelerator driven sciences like high energy physics, materials and life sciences. Radiation biology, protection and applications (EN) This is an introductory course in radiation physics that aims at providing students with a foundation in radiation protection and with information about the main applications of radioactive sources/substances in the industry. The course includes presentations, lecture notes and problem sets. Radiation and reactor experiments (EN) The reactor experiments course aims to introduce the students to radiation detection techniques and nuclear reactor experiments. The core of the course is the unique opportunity to conduct reactor experiments with the EPFL reactor CROCUS. Radiation detection (EN) The course presents the detection of ionizing radiation in the keV and MeV energy ranges. Physical processes of radiation/matter interaction are introduced. All steps of detection are covered, as well as detectors, instrumentations and measurements methods commonly used in the nuclear field. Quantum electrodynamics and quantum optics (EN) This course develops the quantum theory of electromagnetic radiation from the principles of quantum electrodynamics. It will cover historic developments (coherent states, squeezed states, quantum theory of spontaneous emission) and moreover modern developments, e.g. quantum noise and circuit QED Quantum optics and quantum information (EN) This lecture describes advanced concepts and applications of quantum optics. It emphasizes the connection with ongoing research, and with the fast growing field of quantum technologies. The topics cover some aspects of quantum information processing, quantum sensing and quantum simulation. Introduction to medical radiation physics (EN) This course covers the physical principles underlying medical diagnostic imaging (radiography, fluoroscopy, CT, SPECT, PET, MRI, US), radiation therapy and radiopharmacy. The focus is not only on risk and dose to the patient and staff, but also on an objective description of the image quality. Nonlinear dynamics, chaos and complex systems (EN) The course provides students with the tools to approach the study of nonlinear systems and chaotic dynamics. Emphasis is given to concrete examples and numerical applications are carried out during the exercise sessions. Quantum transport in mesoscopic systems (EN) This course aims to introduce the transport behaviors of micron-size systems, emphasizing learning about recent path-breaking experiments on 2D systems such as Graphene and other vad der Waala materials. The course will also introduce the concept of topological protection and strong correlations. Computational quantum physics (EN) The numerical simulation of quantum systems plays a central role in modern physics. This course gives an introduction to key simulation approaches, through lectures and practical programming exercises. Simulation methods based both on classical and quantum computers will be presented. Solid state systems for quantum information (EN) This course will give an overview of the experimental state of the art of quantum technology for Quantum Information Processing (QIP). We will explore some of the most promising approaches for realizing quantum hardware and critically assess each approach’s strengths and weaknesses. Astrophysics III : galaxy formation and evolution (EN) Galaxy formation & evolution is about studying how galaxies in our Universe come into existence, how they evolve and what shapes their properties. This course describes the observational facts of galaxies and the various processes of galaxy evolution as seen from theoretical/numerical models. Topics in biophysics and physical biology (EN) This course provides exposure to research in biophysics and physical biology, with emphasis on the nature of scientific breakthroughs, and using critical reading of scientific literature. Each week, we will discuss the research of one recipient of the Max Delbruck Prize in Biological Physics. Machine learning for physicists (EN) Machine learning and data analysis are central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practised. Physics of life (EN) Life has emerged on our planet from physical principles such as molecular self-organization, thermodynamics, stochastics and iterative refinement. This course will introduce the physical methods to study life and will discuss the quantitative and physical concepts that make life possible. Mathematical aspects of quantum physics (EN) This lecture is a more advanced course in fonctionnel Analysis, presenting techniques with spécial interests for quantum Mechanics Nonlinear optics for quantum technologies (EN) This course provides the fundamental knowledge and theoretical tools needed to deal with nonlinear optical interactions, covering both classical and quantum theory of nonlinear optics. Particle physics: the flavour frontiers (EN) This course will present experimental aspects of flavour physics primarily in the quark sector but also in the lepton sector and their role in the development of the Standard Model of particle physics. Astrophysics II : interactions radiation-matter (EN) This course provides the essential concepts for understanding how stars form, evolve, radiate, and synthesize their chemical elements. These are fundamentals to tackle the variety of galaxy properties, and how their interstellar medium is gradually enriched with metals. MRI Practicals on CIBM preclinical imaging systems (EN) The goal of this course is to teach students how to perform basic MRI and MRS experiments in-vivo and ex-vivo directly on preclinical horizontal ultra-high field MRI systems. Physics of low dimensional materials (EN) This course covers the concepts and physics of matter at reduced dimensions. The fabrication and characterization as well as their potential application is discussed. The critical review and presentation of scientific publications is trained. Statistical physics : theory of phase transitions (EN) Phase transitions are ubiquitous, from the first instants of the universe to living matter. Despite the vast difference in microscopic details, some features of phase transitions are universal and can be explained by the careful use of statistical mechanics, leading up to the renormalisation group. Advanced superconducting magnet technologies (EN) The course will focus on the technologies related to the practical use of superconductors, from the manufacturing to their exploitation. The course also provides some examples of the use of superconductivity for relevant applications and the main technological challenges related to each of them. Fundamentals of crystallography and diffraction (EN) Crystallography and diffraction are fundamental to much of condensed matter and materials physics research. By developing the relevant formalisms, this course builds a solid basis for utilizing crystallography and diffraction, extending to crystalline phenomena that impact physical properties. Physics of magnetic resonance imaging (EN) The goal of this course is to develop a fundamental understanding of the physical principles underlying signal acquisition, image formation and reconstruction in magnetic resonance imaging (MRI) and to demonstrate how these principles enable modern biomedical imaging techniques and applications. Magnetism in materials (EN) The lectures will provide an introduction to magnetism in materials, covering fundamentals of spin and orbital degrees of freedom, interactions between moments and some typical ordering patterns. Selected experimental techniques and their application in current research will be presented. Nonlinear Optics (EN) Basic principles of optics Quantum field theory III (EN) The course builds on the material covered in Quantum Field Theory I and Quantum Field Theory II. It focusses on scalar field theories only. The course develops a deeper understanding of quantum field theory, while introducing advanced concepts and methods and applies them to concrete problems. Modern approaches to quantum gravity (EN) This course is an introduction to holography, the modern approach to quantum gravity. The 2026-2027 edition will consist of 3 parts taught by 3 different external teachers. The standard model (EN) The goal of this course is to explain the conceptual and mathematical bases of the Standard Model of fundamental interactions and to illustrate in detail its phenomenological consequences. Spintronics : basics and applications (EN) Starting from fundamentals of magnetism, the course develops the concepts required to understand and describe reading and writing processes of a magnetic bit. Similarities and differences between classical and quantum systems are addressed.
Statistical physics of computation (EN) The students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning. Quantum computing (EN) This course introduces quantum computing, starting with quantum mechanics and information theory. It covers the quantum circuit model, universal gates, foundational quantum algorithms, noise, quantum error correction, NISQ quantum algorithms, and an overview of recent progress. Quantum information theory (EN) After recapping the basics of quantum theory from an information
theoretic perspective, we will cover more advanced topics in
quantum information theory. This includes introducing measures of quantum information, and developing a more advanced understanding quantum states, channels and measurements. Frederic Joliot/Otto Hahn Summer School on nuclear reactors Physics, fuels and systems (EN) The School’s aim is to address the challenges of reactor design and optimal fuel cycles, and to broaden the understanding of theory and experiments.
The programme of each School session is defined by the International FJOH Scientific Board. Modern photovoltaic technologies (EN) A link between the fundamental physics, device operation and technological development of various solar cell technologies. Learning about all modern photovoltaic technlogies incl. industrially relevant wafer based silicon, thin film chalcogenide, III-V, multijunction, organic and hybrid solar cells. Nonlinear Spectroscopy (EN) To provide an introduction into the field of nonlinear spectroscopy, and focus in particular on linear and nonlinear light scattering Many-Body Approaches to Quantum Fluids (EN) Starting from a microscopic description, the course introduces to the physics of quantum fluids focusing on basic concepts like Bose-Einstein condensation, superfluidity, and Fermi liquid theory. Fusion and industrial plasma technologies (EN) The course provides an overview of the technologies that are essential for fusion developments and for industrial plasma
applications, highlighting the synergies between the two fields. The aim is to provide a combined theoretical and
experimental background to the various topics. General aspects of the electronic structure of crystals (EN) The course is aimed at giving a general understanding and building a feeling of what electronic states inside a crystal are. Electron Matter Interactions in Transmission Electron Microscopy (EN) This course will present the fundamentals of electronâmatter interactions, as occuring in the energy range available in modern transmission electron microscopes, namely 60-300 keV electrons. Diffraction and high-resolution image formation as well as electron energy-loss spectrometry will be covere Field Theory in Condensed Matter Physics (EN) Topics covered: Superfluidity in weakly interacting Bose gas, the random phase approximation to the Coulomb interaction in the Jellium model, superconductivity within the random phase approximation, the renormalization group analysis of non-linear-sigma models, the Kosterlitz-Thouless transition. Neutron and X-ray Scattering of Quantum Materials (EN) Neutron and X-ray scattering are some of the most powerful and versatile experimental methods to study the structure and dynamics of materials on the atomic scale. This course covers basic theory, instrumentation and scientific applications of these experimental methods. Statistical physics for optimization & learning (EN) This course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction to inference to machine learning, neural networks and statitics. Nonlinear Optics in Waveguides (EN) This doctoral level course will present an overview of nonlinear optical effects in waveguides/optical fibers.It will be focused on third order nonlinear effects which occurs in centrosymmetric media. Technical drawing for experimentalists (EN) This course covers the basics of technical drawings using CAD software, and transmits good practices to have complex, custom mechanical parts manufactured. Mechanical fabrication for physicists (EN) This course covers the basics of manufacturing using lathe, drilling and milling machines. This includes the safe operation of these machine, that students can then later use on their own at the IPHYS facilities. Integrated Nonlinear Photonics (EN) Integrated Nonlinear Photonics is an intensive doctoral-level course that trains participants in the theory, simulation, and design of optical devices based on second- and third-order nonlinear effects. Physical Optics and Advanced Imaging (EN) This course gives an introduction to principles of Fourier and physical optics, numerical propagation, and sampling. On the second half the course covers topics of advanced imaging, including 3 external lecturers who are experts in application or development of advanced imaging techniques. Advanced biomedical imaging methods and instrumentation (EN) The main goal of this course is to give the student a solid introduction into approaches, methods, and instrumentation used in biomedical research. A major focus is on Magnetic Resonance Imaging (MRI) and related methods, but other imaging modalities will be increasingly covered. Introduction to Frustrated Magnetism (EN) To provide an introduction to all aspects of the rapidly evolving field of frustrated magnetism:
1) New paradigms: spin liquids, spin ice, topological order, …
2) Basic models and methods
3) Experimental realizations
Non-equilibrium statistical mechanics simulations (EN) This course will introduce important results in non-equilibrium statistical mechanics and algorithms to compute properties out-of equilibrium. Coding exercises will deepen understanding of the formal results and provide insight in the physics of open systems. Magnetic confinement (EN) To provide an overview of the fundamentals of magnetic confinement (MC) of plasmas for fusion.The different MC configurations are presented, with a description of their operating regimes.The basic elements of particle & energy transport, of plasma-wall interaction & of burning plasma are introduced. Plasma Diagnostics in Basic Plasma Physics Devices and Tokamaks: from Principles to Practice (EN) The programme will allow students to learn plasma diagnostics and data processing methods of modern fusion experiments and to bridge the gap between diagnostics theory and experimental practice. Plasma instabilities (EN) To complete the theoretical knowledge acquired before the graduate studies. Parallel programming (EN) Learn to debug, benchmark, optimize, and parallelize scientific applications on HPC clusters using OpenMP and MPI. Through profiling and measurement, you’ll identify bottlenecks, evaluate optimizations, and understand performance using a finite-difference Poisson solver as a case study. Introduction to Metalorganic Vapour Phase Epitaxy of III-V semiconductors (EN) This course offers an insight into the science of epitaxial growth, a chapter of surface science requiring basic understanding of thermodynamics, crystallography, electronic and optical properties of semiconductors. Control and Operation of Tokamaks (EN) This course treats the main issues in operation and control of a tokamak. Control-oriented models are derived and controllers are designed using techniques from modern control theory. Operational limits are discussed as well as state-of-the-art research questions for future reactors. Advanced concepts in particle accelerators (EN) Accelerator physics covers a wide range of very exciting topics. This course presents basic physics ideas and the technologies underlying the workings of modern accelerators. An overview of the new ideas and challenges of the possible paths towards the next generation of accelerators will be given. Lecture series on scientific machine learning (EN) This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method. Axiomatic Quantum Field Theory (EN) Presentation of Wightman’s axiomatic framework to QFT as well as to the necessary mathematical objects to their understanding (Hilbert analysis, distributions, group representations,…).
Proofs of the main mathematical consequences (CPT, spin-statistics, Reeh-Schlieder, Haag no-go). Attosecond radiation sources (EN) This course describes the principles of attosecond photons and electron pulses generation Atomic and radiative processes in plasmas (EN) The course covers atomic structure, collisional-radiative (CR) processes, and spectroscopic techniques. Students learn to critically apply CR models, evaluate spectroscopic tools, and interpret experimental data obtained in different plasmas. CIBM translational MR neuroimaging & spectroscopy (EN) Magnetic resonance imaging (MRI) and spectroscopy (MRS) will be addressed in detail, along with experimental design, data gathering and processing on MRS, structural and functional MRI in humans and rodents, and hands-on experience with MRI scanners. Introduction to quantum science and technology (EN) A broad view of the diverse aspects of the field is provided: quantum physics, communication, quantum computation, simulation of physical systems, physics of qubit platforms, hardware technologies. Students will grasp the field as a whole and better orient themselves on specialized topics. Microwave engineering in physics (EN) This course aims at teaching basic notions and tricks of microwave engineering to students with only an elementary knowledge of applied electromagnetism. Emphasis is made on topics that often arise in modern physics experiments, including quantum science and technology research. Aspects of quantum science and sustainability (EN) We explore the intersection of quantum technologies and sustainability. Topics: 1)discussions of fundamental aspects of thermodynamics of computation; 2)analysis and benchmarks of energy consumption in current and near term real quantum devices; 3)projects on use cases through personal student work. Fundamentals of quantum sensing and metrology (EN) This course introduces the physical principles and technologies behind quantum measurement systems. Emphasis is placed on both theoretical foundations and real-world implementations. Modern quantum algorithms (EN) Modern Quantum Algorithms is a fast-paced, proof-based introduction to the algorithmic toolkit of quantum computing, starting from quantum circuits and universality, and building up core primitives before proceeding to a unifying Fourier-analytic view and more modern perspectives. Systems approaches for urban transitions (EN) The objective of this course is to rethink urban transitions by taking a systemic perspective. It provides the foundation for analyzing and designing urban transitions, integrating technical infrastructure, ecological, and social aspects. Urban governance (EN) This course equips students with the tools for influence within institutional systems, drawing on the fields of sociology, political science, and social psychology. It explores how to better convince decision-makers, shift behaviors, and design more effective and impactful public policies. Social justice and transition in the urban context (EN) This course explores the connections between spatial justice, social equity, and the socio-ecological transition. Through theoretical insights and empirical case studies, it provides tools to critically assess urban transformations and imagine fairer and more hospitable cities. Computational methods in urban studies (EN) CMUS will focus on acquiring insights into, engaging with, and modeling the processes of spatial transformation in contemporary societies. It will integrate statistical techniques and critical urban theory to promote socially and environmentally fair policies against the climate crisis. Railway systems and their transition (EN) This course provides foundational knowledge of transport systems, with a particular emphasis on rail systems, highlighting their strengths and weaknesses, amongst others in the context of climate change. Science and technology in urban transformation (EN) Cities are complex systems shaped by natural, technological, and social factors with historical roots. Through global case studies, this course will explore how science and technology transform cities into objects of knowledge and intervention. Shaping future railway systems (EN) This course focuses on the strategies and decisions involved in planning future rail systems in an era of decarbonized mobility. AI for urban history (EN) This course explores how AI and LLMs can be used to analyze historical urban data. Students study city evolution (1700-now) through hands-on projects, producing a web interface and a visual booklet based on sources like maps, directories, and cadastral records. Urban digital twins (EN) This course explores urban digital twins through theory and hands-on modeling. Students build dynamic models integrating real-time, historical, and predictive data. A project on the EPFL campus using real data serves as the case study. Core project: Urban Systems studio (EN) Interdisciplinary urban design studio addressing site and territory through multiple urban systems. Combines architectural, infrastructural, and social approaches to develop critical, experimental, and context-responsive urban interventions. Astrophysics II : interactions radiation-matter (EN) This course provides the essential concepts for understanding how stars form, evolve, radiate, and synthesize their chemical elements. These are fundamentals to tackle the variety of galaxy properties, and how their interstellar medium is gradually enriched with metals.
