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,
CS-503: Visual intelligence : machines and mindsThe course will discuss classic material as well as recent advances in computer vision and machine learning relevant to processing visual data -- with a primary focus on embodied intelligence and visi
CS-413: Computational photographyThe students will gain the theoretical knowledge in computational photography, which allows recording and processing a richer visual experience than traditional digital imaging. They will also execute
BIO-410: Bioimage informaticsThe course provides a comprehensive overview of methods, algorithms, and computer tools used in bioimage analysis. It exposes fundamental concepts and practical computer solutions to extract quantitat
CS-112(i): Object oriented programmingL'objectif de ce cours est de développer des compétences de base en programmation. L'accent sera mis sur l'approche orientée-objet laquelle renforce la réutilisabilité, la maintenabilité et la fiabili
CS-112(g): Object oriented programmingCe cours approfondit les connaissances en programmation présentées dans le cours ICC du 1er semestre. L'accent est
mis sur l'approche «orientée objet» (en C++), la conception et la spécification de pr
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
