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-487: Industrial automationThis course consists of two parts:
- architecture of automation systems, hands-on lab
- dependable systems and handling of faults and failures in real-time systems, including fault-tolerant computin
MICRO-371: Software architectureCe cours couvre des sujets liés à l'architecture software moderne et industrielle : la gestion agile de projets, la spécification des besoins, le développement d'applications critiques, la programmat
ENV-542: Advanced satellite positioningAll fundamental principles behind modern satellite positioning to acquire, track and evaluate direct and indirect satellite signals and process them in relation to example applications: Earth monito
HUM-124(b): Global issues: mobility BHuman and freight mobility in large cities is a complex process with dense population and many transport modes to compete for limited space. New emerging modes of transport, such as on-demand services
