Students learn to use model-based decision support and adopt an outline of the practical use in the operative division of organisations.

Decision analysis, model-based decision support with focus on mathematical models; modelling process; simulation versus mathematical models, optimisation models; measuring productivity and efficiency (Data Envelopment Analysis); waiting line models; network planning and graph theory models; inter-temporal optimisation; modelling languages (GAMS); stochastic optimisation

Theoretical background is assessed by periodic exams. To adopt the skills, students work out examples and case studies, in class as well as at home.