EE-566: Adaptation and learningIn this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications.
DH-406: Machine learning for DHThis course aims to introduce the basic principles of machine learning in the context of the digital humanities. We will cover both supervised and unsupervised learning techniques, and study and imple
CIVIL-522: Seismic engineeringThis course deals with the main aspects of seismic design and assessment of buildings including conceptual design. It covers different structural design and evaluation philosophies for new and existin
CIVIL-237: Safety and reliabilityCe cours comporte les notions de sécurité ainsi que les mesures à prendre pour maîtriser des situations de danger relatives aux structures. La modélisation des actions et les principes de vérification
HUM-367: Risk governanceLe cours étudie les risques et bénéfices liés aux nouvelles technologies, en appliquant les principes de la gouvernance des risques. Il discute en particulier l'importance des approches interdisciplin
MGT-411: Innovation managementThis is a collection of lectures on "structured innovation systems," codified approaches to stimulating and managing the process of innovation. Some of the systems to be covered may be Design Thinking
FIN-418: Machine learning for financeThis course is introduces machine learning techniques for financial applications in algorithmic trading, derivatives pricing, model calibration, hedging, and risk management. The course format is hand
BIOENG-513: Lab methods : biosafetyThe course will help students to identify and manage laboratory hazards and to run a proper risk evaluation, with a particular focus on biological and chemical activities.
