CS-451: Distributed algorithmsComputing is nowadays distributed over several machines, in a local IP-like network, a cloud or a P2P network. Failures are common and computations need to proceed despite partial failures of machin
CS-456: Deep reinforcement learningThis course provides an overview and introduces modern methods for reinforcement learning (RL.) The course starts with the fundamentals of RL, such as Q-learning, and delves into commonly used approac
HUM-327: Design industriel - projet expérimentalLe cours propose d'expérimenter les spécificités du design industriel en confrontant les étudiant.e.s à la création d'un objet. Il s'agit d'un enseignement pratique qui repose sur le développement d'u
CS-721: Privacy at the communication layerIn this seminar course students will get in depth understanding of mechanisms for private communication. This will be done by reading important papers that will be analyzed in the class. Students will
MATH-432: Probability theoryThe course is based on Durrett's text book
Probability: Theory and Examples.
It takes the measure theory approach to probability theory, wherein expectations are simply abstract integrals.
CS-457: Geometric computingThis course will cover mathematical concepts and efficient numerical methods for geometric computing. We will explore the beauty of geometry and develop algorithms to simulate and optimize 2D and 3D g
MSE-304: Surfaces and interfacesThis lecture introduces the basic concepts used to describe the atomic or molecular structure of surfaces and interfaces and the underlying thermodynamic concepts. The influence of interfaces on the p
