MSE-485: TribologyThis introductory course in tribology (science of friction, lubrication and wear) has specific goals : to present the basic principles of tribology, to develop the attitude to analyse tribological and
MGT-483: Optimal decision makingThis course introduces the theory and applications of optimization. We develop tools and concepts of optimization and decision analysis that enable managers in manufacturing, service operations, marke
CH-223: Organometallic chemistryBasic organometallic chemistry will be covered in this course.
- Structure and bonding in organometallic compounds.
- reactivity of organometallic compounds, stoichiometric reactions, catalyzed rea
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.
EE-613: Machine Learning for EngineersThe objective of this course is to give an overview of machine learning techniques used for real-world applications, and to teach how to implement and use them in practice. Laboratories will be done i
MSE-477: NanomaterialsThis course is an introduction to the concepts and associated relevant physics and materials science principles of what makes inorganic nanomaterials outperform their bulk counterparts. It covers thei
EE-110: Logic systems (for MT)Ce cours couvre les fondements des systèmes numériques. Sur la base d'algèbre Booléenne et de circuitscombinatoires et séquentiels incluant les machines d'états finis, les methodes d'analyse et de syn
MATH-336: Randomization and causationThis course covers formal frameworks for causal inference. We focus on experimental designs, definitions of causal models, interpretation of causal parameters and estimation of causal effects.