Decision-making for Autonomous Systems
Computer Vision
Intelligent Agents and Multi-agent Systems
Machine Learning
Robotics
Applications of AI
This course will teach you the fundamental mathematical models for many real-world problems with autonomous systems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems.
This course is aimed at learners with a bachelor’s degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems.
Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.