Universität Wien

040669 KU Simulation I (MA) (2020W)

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

An/Abmeldung

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

Details

max. 25 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Mittwoch 07.10. 16:45 - 18:15 Digital
  • Mittwoch 07.10. 18:30 - 20:00 Digital
  • Mittwoch 14.10. 16:45 - 18:15 Digital
  • Mittwoch 14.10. 18:30 - 20:00 Digital
  • Mittwoch 21.10. 16:45 - 18:15 Digital
  • Mittwoch 21.10. 18:30 - 20:00 Digital
  • Mittwoch 28.10. 16:45 - 18:15 Digital
  • Mittwoch 28.10. 18:30 - 20:00 Digital
  • Mittwoch 04.11. 16:45 - 18:15 Digital
  • Mittwoch 04.11. 18:30 - 20:00 Digital
  • Mittwoch 11.11. 16:45 - 18:15 Digital
  • Mittwoch 11.11. 18:30 - 20:00 Digital
  • Mittwoch 18.11. 16:45 - 18:15 Digital
  • Mittwoch 18.11. 18:30 - 20:00 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The purpose of this course is to introduce students to simulation modeling and analysis which is an important decision support instrument in production and logistics.
Besides theoretical foundations, with a strong focus on queuing theory, the students will come into contact with a professional simulation software package (AnyLogic) based on which small examples will be implemented, run and analyzed.
This course is held in English. A basic SCM/OR knowledge is strongly encouraged.
Online attendance during the first lesson is mandatory, meaning that if a student is missing or not on time, they will be dropped from this course.
Besides theoretical foundations, with a strong focus on queuing theory, the students will come into contact with a professional simulation software package (AnyLogic) based on which small examples will be implemented, run and analyzed.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The final grade is composed of
- a digital midterm exam (35%, focused on theory)
- a digital final exam (35%, focused on AnyLogic, i.e., modelling/practice)
- a mini case-study (30%, to be worked on individually, grading based on final report)
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%
Cheating during an examination will be sanctioned according to the university's constitution in its current form (i.e., the entire course will not be graded but marked as cheated and counted as one attempt).

Mindestanforderungen und Beurteilungsmaßstab

At least 50% of the overall total achievable score have to be obtained for a positive grade.
The assessment is based on the students' theoretical (e.g., solving problems from queuing theory) and practical capabilities (implementing simulation models in AnyLogic) acquired throughout the course.

Prüfungsstoff

The first part of the course is mainly geared towards acquiring the necessary theoretical foundations of queuing systems and simulation in general. This also includes a primer in statistics and selected topics like random number generation and distribution fitting. The second part focuses on "hands-on" experience with the simulation software package "AnyLogic". Students will be concerned with the implementation and analysis of small queueing systems as simulation models.

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