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
PHYS-613: Nonlinear SpectroscopyTo provide an introduction into the field of nonlinear spectroscopy, and focus in particular on linear and nonlinear light scattering
MSE-100: Materials structureCe cours met en relation les différents niveaux de structuration de la matière avec les propriétés mécaniques, thermiques, électriques, magnétiques et optiques des matériaux.
Des travaux pratiques en
ME-467: TurbulenceThis course provides an introduction to the physical phenomenon of turbulence, its probabilistic description and modeling approaches including RANS and LES. Students are equipped with the basic knowle
ME-104: Introduction to structural mechanicsThe student will acquire the basis for the analysis of static structures and deformation of simple structural elements. The focus is given to problem-solving skills in the context of engineering desig
PHYS-428: Relativity and cosmology IIThis course is the basic introduction to modern cosmology. It introduces students to the main concepts and formalism of cosmology, the observational status of Hot Big Bang theory
and discusses major
