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,
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
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
ENG-606: EU EIT Urban Mobility 3-day seminarThe 3-Day Seminar provides an insight into Urban mobility aspects including fuels (electricity, batteries, fuel cells, hydrogen, biomethane), charging infrastructure, country overviews (CH, FIN, ISR,