Digital Resources for Instruction and Learning
The vice-presidency for education created the DRIL fund to support teachers in creating digital resources for education. Two calls for proposal are organised per year. An editorial committee composed of representatives from schools evaluates the projects.
Contents. The vice-presidency wishes to strengthen the use of MOOCs in teaching basic polytechnic skills (math, physics, computational thinking) and core concepts in science and engineering (e.g. control systems and fluid dynamics for mechanical engineers; electromechanical conversion and electronics for microtechnics).
MOOC production can also be supported for master and doctoral courses when the content preparation is taken over by the labs.
Tools. In addition to MOOCs, we invite you to develop digital tools that provide more, quicker and richer feedback to students, that help them solve complex problems, give them the possibility to run experiments and link domain knowledge with a computational approach. The goal is not to replace practical work in the labs but rather allow to integrate experimentation and problem-solving in lectures.
Application. We encourage you to coordinate the application with other colleagues who might benefit from the same developments and to discuss your project with your section director. We also recommend that you contact the Center for Digital Education (Patrick Jermann) to assist you in preparing your project application.
Next call for proposal: November 22nd 2021. Download the submission form.
|Notebook||Notebooks for signal processing.||Paolo Prandoni|
|Notebook||Interactive Linear Algebra.||Daniel Kressner|
|Notebook||Computational Classroom Demonstrations and Problem sets for Materials Science and Engineering teaching.||Véronique Michaud|
|Notebook||Jupyter Notebooks for first year physics.||Cécile Hébert|
|MOOC||Creation of a MOOC for the course “Information, Computation, and Communication”.||Olivier Lévêque, Martin Rajman|
|Notebook||Understanding Electromagnetism through Interactive Learning and Computational Thinking||Christophe Galland, Cécile Hébert|
|Notebook||Coherent treatment of core concepts in fluid mechanics and heat transfer via a multimodal representation using Jupyter notebooks||François Gallaire, Sophia Haussener, Karen Mulleners, Giulia Tagliabue, Tobias Schneider|
|Notebook||Computational thinking tools for solid state physics courses||Oleg Yazyev, Henrik Ronnow|
|Tool||Open-ended project design companion||Marc Laperrouza, Marius Aeberli|
|MOOC||Innovative Governance of Large Urban Systems||Matthias Finger|
|MOOC||Advanced CECAM Class: Path Integral Methods for Quantum Thermodynamics and Dynamics||Ignacio Pagonbarraga, Michele Ceriotti|
|Tool||FROG – collaborative learning in practice||Pierre Dillenbourg|
|Notebook||Notebooks for Finite Elements of Solids and Structures||Guillaume Anciaux, Jean-François Molinari|
|Notebook||Computational Thinking||Alexandre Alahi|
|Tool||Self-Assessment for Mathematics||François Genoud, Guido Burmeister|
|Tool||Speakup – MCQ questions||Denis Gillet|
|MOOC||MOOC for Analysis I||Joachim Krieger, SMA|
|MOOC and Notebook||Classe inversée – Physique Générale I – Mécanique pour ingénieurs||Cécile Hébert|
|Notebook||IPLAB – Image Processing Laboratories on Noto||Daniel Sage, Pol del Aguila Pla|
|Notebook||Jupyter web applications for quantum simulations||Giovanni Pizzi, Dou Du|
|Notebook||FeedbackNow – Automatic grading and formative feedback for image processing laboratories||Daniel Sage, Pol del Aguila Pla|
|Notebook||Introduction to Machine Learning for Engineers||Alexandre Alahi|
|Notebook||Interactive Virtual Demonstrations for Signals and Systems||Michaël Unser|
|Notebook||Digital tools for structural mechanics and visualization of experimentsand failure surfaces||Dimitrios Lignos|
|MOOC||Statisticalphysics IV||Tobias Kippenberg|
|MOOC||Parallelism and Concurrency in Scala 3||Martin Odersky|
|MOOC||New Space Economy||Volker Gass, Jean-Paul Kneib|