PHYS-512: Statistical physics of computationThe students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and m
AR-201(q): Studio BA3 (Assemble)The work this year will investigate how we can imagine, design and demonstrate the ways in which affordable, low-impact housing on small scale agroecological farms could be built.
AR-430: Magma and principlesNous proposons à une dizaine de personnalités de mettre en relation deux séquences spatiales issues de deux univers représentatifs l'architecture et le cinéma. Pour ce semestre "TEMPUS SESSORIUM" Le t
HUM-317: Cooperation and environmental psychologyCet enseignement abordera la formation, la modification et le maintien des comportements comportements individuels et collectifs pro-environnementaux, tels qu'étudiés par la psychologie sociale de l'
BIO-378: Physiology lab ILe TP de physiologie introduit les approches expérimentales du domaine biomédical, avec les montages de mesure, les capteurs, le conditionnement des signaux, l'acquisition et traitement de données.
Le
BIO-379: Physiology lab IILe TP de physiologie introduit les approches expérimentales du domaine biomédical, avec les montages de mesure, les capteurs, le conditionnement des signaux, l'acquisition et traitement de données.
Le
HUM-465: Understanding modern Switzerland IIBased on the knowledge acquired during the fall semester course (Understanding modern Switzerland I), students are asked to work by group of 3-4 students and prepare a paper on a topic previously disc
MATH-417: Number theory II.b - selected topicsThis year's topic is "Additive combinatorics and applications." We will introduce various methods from additive combinatorics, establish the sum-product theorem over finite fields and derive various a
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
