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
HUM-436: Sciences and religions ILe but de cet enseignement est de revenir sur les conditions (historiques mais aussi épistémologiques) qui ont permis aux sciences de prendre de l'autonomie par rapport à la religion.
COM-598: Master project in Data scienceThe student carries out an academic or industrial master's project. The student will use the required skills and knowledge to accomplish an independent Master in Data Science.
CIVIL-607: Communication for Research EngineersCommunication proficiency is one of the most important results of a good PhD and postdoc experience and it is valued
equally in academia and in industry. EPFL PhD students and postdocs are expected to
ME-523: Nonlinear Control SystemsLes systèmes non linéaires sont analysés en vue d'établir des lois de commande. On présente la stabilité au sens de Lyapunov, ainsi que des méthodes de commande géométrique (linéarisation exacte). Div
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
