Major code: ELEC3055
Entry points: Aalto University, Royal Institute of Technology (KTH), Technische Universität Berlin (TU Berlin), University of Trento (UNITN)
Exit points with specializations:
Aalto: Robotics and Artificial Intelligence
KTH: Intelligent Autonomous Systems
TU Berlin:Applications of Autonomous Systems
UNITN: Real-time perception, decision and control for autonomous driving
EURECOM: Sensing, Communicating and Processing Big Data for Autonomous Systems
ELTE: Computer Science for Autonomous Driving
| Professor in charge: | Quan Zhou |
| Other professors of the major: | Ville Kyrki Arto Visala |
Objectives of the programme
AUS is a combination of computer science and electronic engineering. During the programme, students will gain new skills in both areas. In computer science, relevant skills include Internet of Things (IoT), machine learning, artificial intelligence and robot vision. In electronic engineering, relevant fields are automation, control, embedded systems and communications. Students learn the latest theoretical knowledge and know how to apply their skills in practical real-life problems. Typical application areas of autonomous systems include autonomous vehicles, intelligent robots, industrial IoT and autonomous software systems.