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DH-406: Machine learning for DH

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ME-416: Fundamentals of computer aided manufacturing

Students will be exposed to basic computer-aided manufacturing (CAM) modeling concepts, basic mathematical simulation, verification and optimization algorithms and methodologies and their applications

ME-424: Mecatronics

Mécatronique, Systèmes dynamiques, Commande, Electronique, Informatique temps réel.

ME-628: High Strain Rate Mechanics of Materials

This course offers fundamentals concepts of material behavior under dynamic loads such as impact and shock. lt will cover experimental methods and analytical modeling approaches to describe the dynami

MGT-411: Innovation management

This is a collection of lectures on "structured innovation systems," codified approaches to stimulating and managing the process of innovation. Some of the systems to be covered may be Design Thinking

MGT-481: Financial & managerial accounting

The aims of the course are to explain how information helps investors to analyze the financial profile of a company, and to provide analytical tools for assisting managers in evaluating various decisi

MGT-489: Project management & collaboration

This course is dedicated to integrating 1) a project thinking mindset, by mastering what needs to be ensured for any project to be carried out in the most favorable conditions, and 2) practice collabo

MGT-492: Data science and machine learning I

This class provides a hands-on introduction to data science and machine learning topics, exploring areas such as data acquisition and cleaning, regression, classification, clustering, neural networks,

MGT-618: Computational research methods for social sciences

The objective of this course is to introduce doctoral students to computational methods for data-driven research in the social sciences.

MGT-644(b): Computational Methods for Doctoral Research in Management

The objective of this course is to introduce doctoral students to computational methods for data-driven empirical research in management.

MICRO-211: Analog circuits and systems

This course introduces the analysis and design of linear analog circuits based on operational amplifiers. A Laplace early approach is chosen to treat important concepts such as time and frequency resp