MATH-414: Stochastic simulationThe student who follows this course will get acquainted with computational tools used to analyze systems with uncertainty arising in engineering, physics, chemistry, and economics. Focus will be on s
FIN-417: Quantitative risk managementThis course is an introduction to quantitative risk management that covers standard statistical methods, multivariate risk factor models, non-linear dependence structures (copula models), as well as p
ME-202: Mechanical systemsCe cours vise à approfondir la compréhension des lois de fonctionnement de plusieurs principes mécaniques majeurs et largement utilisés en construction de machines, en vue d'être capable d'en faire le
COM-406: Foundations of Data ScienceWe discuss a set of topics that are important for the understanding of modern data science but that are typically not taught in an introductory ML course. In particular we discuss fundamental ideas an
EE-365: Power electronicsThe goal of the course is to present fundamentals of power electronics. The key focus is on the operating principles of power electronic converters, their modelling, sizing and design.
EE-518: Analog circuits for biochipIntroduction to analog CMOS design for Remote Biosensors on Chip. Understanding and designing of active and remotely powered biosensing systems. Basic understanding of the wireless transmission of the
