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EE-472: Smart grids technologies

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EE-465: Industrial electronics I

The course deals with the control of grid connected power electronic converters for renewable applications, covering: converter topologies, pulse width modulation, modelling, control algorithms and co

ME-326: Control systems and discrete-time control

Ce cours inclut la modélisation et l'analyse de systèmes dynamiques, l'introduction des principes de base et l'analyse de systèmes en rétroaction, la synthèse de régulateurs dans le domain fréquentiel

ME-324: Discrete-time control of dynamical systems

On introduit les bases de l'automatique linéaire discrète qui consiste à appliquer une commande sur des intervalles uniformément espacés. La cadence de l'échantillonnage qui est associée joue un rôle

ME-425: Model predictive control

Provide an introduction to the theory and practice of Model Predictive Control (MPC). Main benefits of MPC: flexible specification of time-domain objectives, performance optimization of highly complex

EE-350: Signal processing

Dans ce cours, nous présentons les méthodes de base du traitement des signaux.

PHYS-201(d): General physics: electromagnetism

The topics covered by the course are concepts of fluid mechanics, waves, and electromagnetism.

EE-202: Electronics I

Les concepts de base permettant de comprendre, d'analyser et de concevoir les circuits à base d'AmpliOp, dédiés à l'acquisition et conditionnement des signaux analogiques sont traités en théorie et pr

EE-205: Signals and systems (for EL)

Ce cours pose les bases d'un concept essentiel en ingénierie : la notion de système. Plus spécifiquement, le cours présente la théorie des systèmes linéaires invariants dans le temps (SLIT), qui sont

ENG-612: Power electronics for renewable applications

Introduction to key aspects of power-electronics utilization in renewable energy applications, including the basic operation principles, system-level properties, control, and modeling. Practical exper

PHYS-467: Machine learning for physicists

Machine learning and data analysis are becoming increasingly central in sciences including physics. In this course, fundamental principles and methods of machine learning will be introduced and practi