CS-421: Machine learning for behavioral dataComputer environments such as educational games, interactive simulations, and web services provide large amounts of data, which can be analyzed and serve as a basis for adaptation. This course will co
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,
HUM-414: Law and technology IICe cours présente le cadre légal applicable à certaines problématiques dans des domaines à caractère technique, tels que le droit de la construction, le droit de l'informatique, la biotechnologie, la
ENV-530: Sustainability roboticsThe goal of this course is to provide methods and tools of robotics in promoting sustainable development. The course is a balance between theoretical basics in robotics, associated case studies and pr
MICRO-453: Robotics practicalsThe goal of this lab series is to practice the various theoretical frameworks acquired in the courses on a variety of robots, ranging from industrial robots to autonomous mobile robots, to robotic dev
HUM-410: Law and technology ICe cours présente le cadre légal applicable à certaines problématiques dans des domaines à caractère technique, tels que le droit de la construction, le droit de l'informatique, la biotechnologie, la
ENG-466: Distributed intelligent systemsThe goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well-balanced mixture
