The seminar consisted of two parts, which took place in the winter semester (Part I) and in the summer semester (Part II).
In Part I we dealt with the state-of-the-art (SoA) in probabilistic modeling using probabilistic programming languages (as an example the DSL WebPPL) in cognition (perception, problem solving, evaluation, decision making) and behavioral control of predominantly natural agents.
Part II dealt with probabilistic modeling in technical, epidemiological and ecological contexts.We also considered the SoA in the development of new probabilistic modeling languages (e.g. PyRo, TURING, Greta, PyMC3).
This division of the contents adapted to the students' previous knowledge and wishes.
The successful participation in both seminars could be combined in such a way that it corresponded to a lecture module.

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