EE-568: Reinforcement learningThis course describes theory and methods for Reinforcement Learning (RL), which revolves around decision making under uncertainty. The course covers classic algorithms in RL as well as recent algorith
ME-201: Continuum mechanicsContinuum conservation laws (e.g. mass, momentum and energy) will be introduced. Mathematical tools, including basic algebra and calculus of vectors and Cartesian tensors will be taught. Stress and de
ME-615: Introduction to earthquake source physicsThis course presents the classical and new approaches required to study the source mechanisms of earthquakes, combining theory and observations in a unified methodology, with a key focus on the mechan
PHYS-720: Quantum Chaos and Black HolesThis class will introduce quantum chaos and it's connection to black holes and quantum gravity. We will first review chaos in classical mechanics, before turning to semi-classical chaos and random mat
MATH-495: Mathematical quantum mechanicsQuantum mechanics is one of the most successful physical theories. This course presents the mathematical formalism (functional analysis and spectral theory) that underlies quantum mechanics. It is sim
MATH-606: Statistical Field TheoryThe goal of this class is to teach how to look at two-dimensional field theories, how to analyse them, how to put structures on them. In the end, the student should have a good picture into what we un
