CIVIL-459: Deep learning for autonomous vehiclesDeep Learning (DL) is the subset of Machine learning reshaping the future of transportation and mobility. In this class, we will show how DL can be used to teach autonomous vehicles to detect objects,
ENG-430: Risk managementThis course provides students with the opportunity to acquire the methods and tools necessary for modern risk management from an engineering standpoint. It emphasizes actors, resources, and objectives
COM-301: Computer security and privacyThis is an introductory course to computer security and privacy. Its goal is to provide students with means to reason about security and privacy problems, and provide them with tools to confront them.
ENV-140: Fundamentals of geomaticsBases de la géomatique pour les ingénieur·e·s civil et en environnement. Présentation des méthodes d'acquisition, de gestion et de représentation des géodonnées. Apprentissage pratique avec des méthod
MSE-212: Biology for engineersThis course consists of an introduction to biology and more particularly to biology as a multidisciplinary field, emphasizing
natural examples of materials engineering. It should therefore allow engin
