105.632 Model-based Decision Support
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2018S, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Aim of course

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

Subject of course

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

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu11:00 - 13:0001.03.2018 - 28.06.2018EI 8 Pötzl HS - QUER MB-DS
Model-based Decision Support - Single appointments
DayDateTimeLocationDescription
Thu01.03.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu08.03.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu15.03.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu22.03.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu12.04.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu19.04.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu26.04.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu03.05.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu17.05.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu24.05.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu07.06.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu14.06.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu21.06.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS
Thu28.06.201811:00 - 13:00EI 8 Pötzl HS - QUER MB-DS

Examination modalities

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.

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
066 926 Business Informatics Mandatory2. Semester

Literature

No lecture notes are available.

Language

English