The students learn to assess which mathematical methods and models are suitable for the analysis of operational issues in organizations and how these methods are used. Typical operational issues are production planning, logistics chains and inventory planning, performance measurement, route planning, decision theory, etc.

Model-based decision-support, abstraction and modeling, juxtaposition of descriptive and prescriptive models, OR case studies, efficiency and productivity measurement, introduction to queuing theory, and brief portrait of graph theory and game theory.

First meeting on March 6, 2017, 1.10 p.m. Freihaus Hörsaal 4

Students realize explanatory, illustrative and in-depth examples partly under guidance and partly independently and present them. The preparation and presentation of the examples form the basis of the assessment, short tests complement the evaluation of the achievement of the learning outcomes.