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EDEE Course book

Génie électrique 2022-23

Core courses

Cours
Langue
Examen
Crédits
Advanced Methods for Model Identification (Next time: TBA)
EE-607 / Section EDEE
Frigo, Paolone
EN
Project report
4
Advanced microwaves for wireless communications (Next time: Spring 2024)
EE-712 / Section EDEE
Skrivervik Favre
EN
Multiple
4
Advanced topics in electromagnetic compatibility (Next time: Spring 2024)
EE-708 / Section EDEE
Rachidi-Haeri
EN
Oral presentation
2
Advanced topics in network neuroscience (Next time: Fall 2022)
EE-619 / Section EDEE
Amico
EN
Written
2
Deep Learning For Natural Language Processing (Next time: Fall 2023)
EE-608 / Section EDEE
Henderson
EN
Multiple
4
Design and Optimization of Internet-of-Things Systems (Next time: Fall 2022)
EE-733 / Section EDEE
Aminian, Atienza Alonso, Burg
EN
Oral presentation
4
Digital Speech and Audio Coding (Next time: Fall 2022)
EE-719 / Section EDEE
Magimai Doss, Motlicek
EN
Multiple
4
EECS Seminar: Advanced Topics in Machine Learning (Next time: Spring 2023 )
ENG-704 / Section EDEE
Bosselut, Cevher, Faltings, Flammarion, Frossard, West
EN
Autre (reprise)
2
Fundamentals in statistical pattern recognition (Next time: Spring 2023)
EE-612 / Section EDEE
Anjos, Canévet, Marcel
EN
Multiple
4
Human language technology: applications to information access (Next time: Spring 2024)
EE-724 / Section EDEE
Popescu-Belis
EN
Multiple
4
Linear system theory (Next time: Fall 2022)
EE-611 / Section EDEE
Müllhaupt
EN
Multiple
4
Machine Learning for Engineers (Next time: Fall 2023)
EE-613 / Section EDEE
Calinon, Canévet, Odobez, Villamizar
EN
Multiple
4
Online learning in games
EE-735 / Section EDEE
Cevher
EN
Oral presentation
4
Optimal control (Next time : Spring 2024)
EE-715 / Section EDEE
Faulwasser, Jiang
EN
Project report
4
Perception and learning from multimodal sensors (CANCELLED for 2022-23 Next time: Spring 2024)
EE-623 / Section EDEE
Odobez
EN
Written & Oral
4
Research seminars in Electrical Engineering (Next time: Spring 2023)
EE-625 / Section EDEE
Choo, Fleury, Matioli
EN
Oral presentation
1
Sparse stochastic processes (Next time: Fall 2023)
EE-726 / Section EDEE
Unser
EN
Multiple
4
Theory and Methods for Reinforcement Learning (Next time: Spring 2023)
EE-618 / Section EDEE
Cevher
EN
Project report
3
Usability engineering (Next time: Spring 2023)
EE-600 / Section EDEE
Carrara, Lang, Stradolini
EN
Project report
3

Other doctoral courses (EDOC)

Cours
Langue
Examen
Crédits
Advanced biomedical imaging methods and instrumentation (Next time: Fall )
PHYS-719 / Section EDPY
Mishkovsky
EN
Term paper
4
Advanced electromagnetics (Fall 2022)
EE-624 / Section EDPO
Fleury
EN
During the semester
3
Advanced micro-/nano- manufacturing (Spring 2023)
MICRO-632 / Section EDAM
Various lecturers
EN
Written
2
Electrochemical nano-bio-sensing and bio/CMOS interfaces (Next time in June 2023)
MICRO-614 / Section EDMI
Carrara
EN
Project report
1
Energy Autonomous Wireless Smart Systems (Next time in Spring 2024)
MICRO-617 / Section EDMI
Burg, Dehollain, Maloberti, Skrivervik Favre
EN
Multiple
3
Lecture series on scientific machine learning (Next time: Fall)
PHYS-754 / Section EDPY
Carleo, Ceriotti, De Los Rios, Mathis, Schwaller, Wyart, Zdeborová
EN
Oral presentation
2
Nanoscale MOSFETs and beyond CMOS devices (Next time: November 15th - 18th 2022)
MICRO-611 / Section EDMI
Ionescu, Zota
EN
Oral
1
Scientific programming for Engineers (Next time: Fall 2022)
MATH-611 / Section EDCE
Anciaux
EN
Project report
4
Statistical physics for optimization & learning (Next time: Spring 2023)
PHYS-642 / Section EDPY
Krzakala, Loureiro, Saglietti, Zdeborová
EN
During the semester
4
Transient and dynamic analysis of electric power systems (Next time: Fall 2022, Min. 6 participants)
EE-603 / Section EDEY
Cherkaoui, Rachidi-Haeri
EN
Written
3

External courses

Cours
Langue
Examen
Crédits
Essentials of image analysis for scientists (June 27th to July 1st 2022. registration via go.epfl.ch/imaging-summer-school)
EE-804 / Section EDEE
Andò, Sage, Unser
EN
Oral presentation
1

Master courses

Cours
Langue
Examen
Crédits
Adaptation and learning
EE-566 / Section EL
Sayed
EN
Session d'été
Written
4
Advanced probability and applications
COM-417 / Section SC
Lévêque
EN
Session d'été
Written
8
Applied data analysis
CS-401 / Section SC
West
EN
Session d'hiver
Written
8
Artificial neural networks/reinforcement learning
CS-456 / Section IN
Gerstner
EN
Session d'été
Written
5
Bioimage informatics
BIO-410 / Section SV
Sage, Seitz
EN
Session d'été
Written
4
Computational neurosciences : neuronal dynamics
NX-465 / Section NX
Gerstner
EN
Session d'été
Written
5
Computational Social Media
DH-500 / Section DH
Gatica-Perez
EN
Session d'été
During the semester
4
Data visualization
COM-480 / Section SC
Vuillon
EN
Session d'été
During the semester
4
Deep learning (pas donné en 2022-23)
EE-559 / Section EL
EN
Session d'été
Written
4
Fundamentals of biomedical imaging
PHYS-438 / Section PH
Gruetter
EN
Session d'été
Written
4
Machine learning
CS-433 / Section IN
Flammarion, Jaggi
EN
Session d'hiver
Written
8
Markov chains and algorithmic applications
COM-516 / Section SC
Lévêque, Macris
EN
Session d'hiver
Written
4
Mathematics of data: from theory to computation
EE-556 / Section EL
Cevher
EN
Session d'hiver
Written
6
Networks out of control (Pas donné en 2022-23 -Cours biennal )
COM-512 / Section SC
EN
Session d'été
Written
4
Optimization for machine learning
CS-439 / Section IN
Flammarion, Jaggi
EN
Session d'été
Written
5
Statistical machine learning
MATH-412 / Section MA
Obozinski
EN
Session d'hiver
Written
5
Statistics for data science
MATH-413 / Section MA
Davison
EN
Session d'hiver
Written
6
Understanding statistics and experimental design
BIO-449 / Section SV
Herzog
EN
Session d'hiver
Written
4
Wireless receivers: algorithms and architectures
EE-442 / Section EL
Burg
EN
Session d'hiver
During the semester
4