Universität Wien

040188 KU Simulation II (MA) (2020W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 35 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Mittwoch 02.12. 16:45 - 18:15 Digital
Mittwoch 02.12. 18:30 - 20:00 Digital
Mittwoch 09.12. 16:45 - 18:15 Digital
Mittwoch 09.12. 18:30 - 20:00 Digital
Mittwoch 13.01. 16:45 - 18:15 Digital
Mittwoch 13.01. 18:30 - 20:00 Digital
Mittwoch 20.01. 16:45 - 18:15 Digital
Mittwoch 20.01. 18:30 - 20:00 Digital
Mittwoch 27.01. 16:45 - 18:15 Digital
Mittwoch 27.01. 18:30 - 20:00 Digital
Mittwoch 03.02. 16:45 - 18:15 Digital
Mittwoch 03.02. 18:30 - 20:00 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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 small groups. The final implementation in the AnyLogic simulation environment
is to be presented in class and summarized in a short seminar paper.
This course is held in English. A basic SCM/OR knowledge is strongly encouraged. Prerequisites: simulation 1 (040669).
Online attendance during the first lesson, intermediate and final presentation is mandatory, meaning that if a student is missing or not on time, they will be dropped from this course.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The final grade is composed of
- an intermediate presentation of the group project (30%)
- a final presentation of the group project (35%)
- a term paper containing a project summary and results discussion (35%)
At least 50% must 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%

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

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

Literatur

* Law, A.M.: Simulation Modeling & Analysis, McGraw-Hill.
* Hillier, F.S., Lieberman, G. J.: Introduction to Operations Research, McGraw-Hill.
* (Kelton, W.D.: Simulation with Arena, McGraw-Hill.)
* Handbook of Simulation (Wiley)

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 12.05.2023 00:12