EE-411: Fundamentals of inference and learningThis is an introductory course in the theory of statistics, inference, and machine learning, with an emphasis on theoretical understanding & practical exercises. The course will combine, and alternat
MATH-202(c): Analysis IIIThe course studies the fundamental concepts of vector analysis and Fourier-Laplace analysis with a view to their use in solving multidisciplinary problems in scientific engineering.
MSE-236: Metals and alloysCe cours constitue une introduction aux principes qui régissent l'élaboration, la microstructure et les propriétés des matériaux métalliques. Trois systèmes principaux d'alliages (Al, Cu, Fe) seront u
PHYS-432: Quantum field theory IIThe goal of the course is to introduce relativistic quantum field theory as the conceptual and mathematical framework describing fundamental interactions such as Quantum Electrodynamics.
CIVIL-425: Continuum mechanics and applicationsThis course covers the fundamentals of continuum mechanics theory at the graduate level and provides modern examples of applications. Extra emphasis is on emerging data-driven approaches. It is adequa
CH-242(b): Statistical mechanics for chemistryCe cours construit la base théorique universelle permettant de comprendre les systèmes à grand nombre de particules. Les méthodes introduites sont utilisées pour éclairer de nombreux phénomènes à trav
PHYS-424: Plasma IIThis course completes the knowledge in plasma physics that students have acquired in the previous two courses, with a discussion of different applications, in the fields of magnetic confinement and co
