After successful completion of the course, students are able to

• use selected methods of model-based decision support
• assess the potential applications of model-based decision support in organizations
• Computer-aided planning and optimization of business processes
• outline complexity of mathematical programming and assess the usefulness of heuristic optimization methods

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).

ATTENTION: Due to the current Covid19 situation, this LVA will be processed completely online via TUWEL in 2021S. The methods are screencatch videos, ZOOM questionnaires, (partly independent and partly under supervision) working through research papers, online tasks, submission of homework

Information meeting on March 4, 2021, 11 a.m., TUWEL ZOOM online

Home assignments (TUWEL online submission) and TUWEL online tests.

It is recommended that students calculate with matrices, discuss elementary functions, apply Bayes' theorem, explain conditional probabilities, experiment with algorithms, and work on and use programming codes.