PHYS-642: Statistical physics for optimization & learningThis course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction to inference to machine learning, neural networks and st ...
MSE-421: Statistical mechanicsThis course presents an introduction to statistical mechanics geared towards materials scientists. The concepts of macroscopic thermodynamics will be related to a microscopic picture and a statistical interpretation. Lectures and exercises will be compleme ...
MSE-422: Advanced metallurgyThis course covers the metallurgy, processing and properties of modern high-performance metals and alloys (e.g. advanced steels, Ni-base, Ti-base, High Entropy Alloys etc.). In addition, the principles of computational alloy design as well as approaches fo ...
PHYS-423: Plasma IFollowing an introduction of the main plasma properties, the fundamental concepts of the fluid and kinetic theory of plasmas are introduced. Applications concerning laboratory, space, and astrophysical plasmas are discussed throughout the course. ...
MSE-362: Polymer scienceIntroduction to polymer physics and the link between chemical structure and macroscopic properties, with emphasis on morphology and thermomechanical behaviour, polymer technology and manufacturing techniques, providing a basis for the rational selection of ...
PHYS-619: Many-Body Approaches to Quantum FluidsStarting from a microscopic description, the course introduces to the physics of quantum fluids focusing on basic concepts like Bose-Einstein condensation, superfluidity, and Fermi liquid theory. ...
MSE-360: Polymer science + TPIntroduction to polymer physics and the link between chemical structure and macroscopic properties, with emphasis on morphology and thermomechanical behaviour, polymer technology and manufacturing techniques, providing a basis for the rational selection of ...
MSE-639: Statistical methods in atomistic computer simulationsThe course gives an overview of atomistic simulation methods, combining theoretical lectures and hands-on sessions. It
covers the basics (molecular dynamics and monte carlo sampling) and also more advanced topics (accelerated sampling
of rare events, and n ...
