The course “Decision making and probabilistic reasoning” focuses on decision making theory and, more specifically, decision analysis methods and knowledge models involving probabilities. The course spans from simple table-based models of probabilistic events to complex influence diagrams and fuzzy reasoning systems. Participants will gain an understanding of how decision problems are framed, modeled, and evaluated to gain a deeper insight into the decision problem. Elements of artificial intelligence will be covered by multiple methods performing probabilistic reasoning. This course teaches how probabilistic reasoning can help make better decisions.