Decision Analytics

Students acquire the competence to classify complex decision-making situations and to derive normative decision recommendations using appropriate optimization concepts.

They gain comprehensive theoretical knowledge for dealing with complex decision situations, with a particular focus on the appropriate modeling of individual risk preferences and the adequate consideration of ambiguity and uncertainty. Practical, software-supported exercises demonstrate the relevance of the theoretical knowledge for the responsible and rigorous application of the methods learned.