Syllabus
The core of the seminar is the reading and analysis of a chosen text dealing with decisions under uncertainty.
The theoretical insights will be turned into practice by using real-life examples or if possible use programming tools (e.g. suitable Python Bayesian processes).
Annotation
A seminar focusing on the theory and practice of decision processes under uncertainty. Each year focuses on a chosen concept of decision processes and investigates these in a form of a discussion seminar and experiments.