ENV-597: SIE projectMise en pratique et synthèse de la formation théorique dans un projet de recherche appartenant spécifiquement au domaine SIE
CH-457: AI for chemistryThe 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
CS-308: Introduction to quantum computationThe course introduces the paradigm of quantum computation in an axiomatic way. We introduce the notion of quantum bit, gates, circuits and we treat the most important quantum algorithms. We also touch
MATH-329: Continuous optimizationThis 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 algorith
EE-584: Spacecraft design and system engineeringThe main objective of the course is to provide tools and notions for spacecraft design. The course will start with an introduction on systems engineering, then the different subsystems of a spacecraft
MGT-201: Introduction to entrepreneurshipThis 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 entreprene
AR-678: Harmony and ConflictsThis is a methodological PhD course focused on the history and description of one case study (building, drawing or projects) and the construction of its historical broader context.
CS-433: Machine learningMachine 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 pr