MICRO-321(a): Optical engineering (for MT)Ce cours présente différentes facettes de l'optique moderne et met à la fois l'accent sur des bases rigoureuses et des applications pratiques. Le cours inclut une partie théorique avec un cours et des
MICRO-321(b): Optical engineering (for EL)Ce cours présente différentes facettes de l'optique moderne et met à la fois l'accent sur des bases rigoureuses et des applications pratiques. Le inclut une partie théorique avec un cours ainsi que de
ENV-617: Snow Science Winter School (WSL)The modern techniques and methods to measure snow properties in the field and in the laboratory are introduced by specialists in the corresponding field. The methods are applied in the field and in th
MATH-486: Statistical mechanics and Gibbs measuresThis course provides a rigorous introduction to the ideas, methods and results of classical statistical mechanics, with an emphasis on presenting the central tools for the probabilistic description of
MATH-516: Applied statisticsThe course will provide an overview of everyday challenges in applied statistics through case studies. Students will learn how to use core statistical methods and their extensions, and will use comput
CIVIL-308: Rock mechanicsLes étudiants comprennent le comportement mécanique de la roche intacte, des joints et des massifs rocheux et savent déterminer les facteurs influençant un projet. Ils savent utiliser les méthodes app
FIN-472: Computational financeParticipants of this course will master computational techniques frequently used in mathematical finance applications. Emphasis will be put on the implementation and practical aspects.
BIO-465: Biological modeling of neural networksIn this course we study mathematical models of neurons and neuronal networks in the context of biology and establish links to models of cognition. The focus is on brain dynamics approximated by determ
MATH-615: Gaussian free field through random walksIn this lecture series some important objects of random geometry are introduced and studied. In particular, the relation between the Gaussian free field and random walks / Brownian motions is explored
