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-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
HUM-333: Ethics of emerging technologiesThis course examines key technological developments and challenges from an ethical and policy perspective. The primary aim of this course is to get students to think critically about the ethical-socia
HUM-486: Data in context: Critical Data Studies IILe cours "Critical Data Studies" s'inscrit dans la nouvelle offre d'enseignements UNIL/EPFL qui propose de croiser des savoirs provenant des SHS et des sciences de l'ingénieur afin d'aborder des théma
HUM-485: Data in context: Critical Data Studies ILe cours "Critical Data Studies" s'inscrit dans la nouvelle offre d'enseignements TILT qui propose de croiser des savoirs provenant des SHS et des sciences de l'ingénieur afin d'aborder des thématique
HUM-384: The ethics of robotsThis course enables students to sharpen their proficiency in tackling ethical challenges linked to robots. Students acquire the competence to define a robot and identify ethical and legal questions li
AR-610: Digital mindsThe course deals with the role of digital culture in Architecture and Sciences of the city research. Stories of the vicissitudes, the potential for innovation and the research problems related to digi