Universität Wien

040188 KU Simulation II (MA) (2019W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 35 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 21.11. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 21.11. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 28.11. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 09.01. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 09.01. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 23.01. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 23.01. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 23.01. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

Based on a small simulation project, the students will have the opportunity

to apply the theoretical knowledge and practical skills gained from the course

Simulation I. The projects will be handled by groups of at most two

people. The final implementation in the AnyLogic simulation environment

is to be presented in class and summarized in a short seminar paper.

Assessment and permitted materials

The final grade is composed of
- an intermediate presentation of the group work (30%)
- a final presentation of the project (35%)
- a term paper containing a project summary and results discussion (35%)

At least 50% have to be obtained for a positive grade. The grading key is as follows:
4: 50% to <63%
3: 63% to <75%
2: 75% to <87%
1: 87% to 100%

Minimum requirements and assessment criteria

At least 50% of the overall total achievable score have to be obtained for a positive grade. The assessment is based on the students' ability to implement a small simulation project in AnyLogic, including all necessary preparatory (input data analysis) and consecutive (results interpretation and derivation of managerial implications) steps.

Examination topics

After a short intro including advanced topics in simulation (e.g., output data analysis), students will work on their assigned projects in groups of at most two.

Reading list

– Law, A.M.: Simulation Modeling & Analysis, McGraw-Hill.
– Hillier, F.S., Lieberman, G. J.: Introduction to OperationsResearch, McGraw-Hill.
– (Kelton, W.D.: Simulation withArena, McGraw-Hill.)
– Handbook of Simulation (Wiley)

Association in the course directory

Last modified: Mo 07.09.2020 15:19