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,
BIO-499: Neural circuits of motivated behaviorsMotivated behaviors fulfil the basic physiological needs of animals and enable their safety. In this course, you will learn about the neuronal circuits that sense and regulate internal states, detect
PHYS-467: Machine learning for physicistsMachine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi
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
CS-423: Distributed information systemsThis course introduces the foundations of information retrieval, data mining and knowledge bases, which constitute the foundations of today's Web-based distributed information systems.
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
ENG-633: Supervising Students in ProjectsThe combination of practical and reflective activities in this course provide participants with evidence-informed teaching skills for supervising and evaluating students working on projects.
