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,
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
COM-304: Communications projectThe course teaches the development of systems that solve real-world challenges in communications, signal processing, AI, and robotics. Students will work in teams, construct their ideas, and either pr
HUM-122(b): Global issues: communication BCe cours présente les enjeux mondiaux de la communication en lien avec l'essor de l'intelligence artificielle (IA). L'approche interdisciplinaire intègre les SHS avec les sciences de l'ingénierie et i
CS-330: Artificial intelligenceIntroduction aux techniques de l'Intelligence Artificielle, complémentée par des exercices de programmation qui montrent les algorithmes et des exemples de leur application à des problèmes pratiques.
ENG-601: Digitalization in electricity systemsParticipants will be equipped with specialized knowledge, grounded on latest academic research and professional practice, on potential applications and risks digitalization tendencies pose to the oper
AR-402(k): Studio MA2 (Huang)The studio examines the effects of artificial intelligence on architecture and cities. We explore data-driven design processes by the use of algorithmic and parametric tools that take into considerat
ENG-466: Distributed intelligent systemsThe goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well-balanced mixture
