AR-301(k): Studio BA5 (LDM)Le (un)studio questionne à la fois la condition matérielle d'un atelier de projet et son contenu. Il alterne entre enquête, design et dialogue, et s'engage avec sérieux et joie, ici et maintenant, dan
AR-401(k): Studio MA1 (LDM)Le (un)studio questionne à la fois la condition matérielle d'un atelier de projet et son contenu. Il alterne entre enquête, design et dialogue, et s'engage avec sérieux et joie, ici et maintenant, dan
BIO-483: Neuroscience: behavior and cognitionThe 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
BIO-341: Dynamical systems in biologyLife 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
CS-250: Algorithms IThe 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, ma
CS-456: Deep reinforcement learningThis course provides an overview and introduces modern methods for reinforcement learning (RL.) The course starts with the fundamentals of RL, such as Q-learning, and delves into commonly used approac
DH-412: History and the digitalThe 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 th
ChE-340: The engineering of chemical reactionsCe cours applique les concepts de la cinétique chimique et des bilans de masse et d'énergie pour résoudre les problèmes de génie des réactions chimiques, en mettant l'accent sur les applications indus