BIO-212: Biological chemistry IBiochemistry 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 m
CIVIL-459: Deep learning for autonomous vehiclesDeep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects,
MSE-203: Continuum mechanicsDans ce cours, les outils qui permettent de décrire les matériaux non pas au niveau atomique mais au niveau d'un continuum sont présentés. Les tenseurs des contraintes et des déformations, les lois de
ENG-366: Signals, instruments and systemsThe 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
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
HUM-226: Wellbeing and Planetary BoundariesL'objectif de ce cours est de donner une compréhension globale des enjeux de la durabilité et de ses implications. Que signifie "durabilité" ? Comment est-elle mesurée ? Comment l'atteindre ?
ME-323: Chemical process controlProvide 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.
