EE-411: Fundamentals of inference and learningThis is an introductory course in the theory of statistics, inference, and machine learning, with an emphasis on theoretical understanding & practical exercises. The course will combine, and alternat
PHYS-207(a): General physics : quantaCe cours est une introduction à la mécanique quantique. En partant de son développement historique, le cours traite les notions de complémentarité quantique et le principe d'incertitude, le processus
CH-312: Dynamics of biomolecular processesIn this course we will discuss advanced biophysical topics, building on the framework established in the course "Macromolecular structure and interactions". The course is held in English.
BIO-109: Introduction to life sciences (for IC)Ce cours présente les principes fondamentaux à l'œuvre dans les organismes vivants. Autant que possible, l'accent est mis sur les contributions de l'Informatique aux progrès des Sciences de la Vie.
PHYS-201(b): General physics: electromagnetismThe course covers the phenomena, concepts and principles of electricity and magnetism illustrating some of their applications. The unity of the electric, magnetic and optical phenomena and the variety
HUM-256: Brain, mind and societyCe cours aborde les sujets relatifs aux recherches sur les bases cérébrales des actions humaines, en revenant notamment sur l'histoire du cerveau, les changements actuels liés au développement des neu
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,
