Universität Wien

040669 KU Simulation I (MA) (2026W)

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. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine

Freitag 02.10.2026 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß U1.611
Freitag 09.10.2026 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß U1.611
Freitag 16.10.2026 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß U1.611
Freitag 23.10.2026 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß U1.611
Freitag 30.10.2026 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß U1.611
Freitag 06.11.2026 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß U1.611
Freitag 13.11.2026 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß U1.611
Freitag 20.11.2026 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß U1.611

Exam 1: 23.10.2026
Exam 2: 20.11.2026


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.

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.
Important information on the waiting list: The waiting list will be processed in the exact order of the waiting list. Due to the compact nature of this course, it is recommended that you attend the first lesson (if capacity allows it) even if you are only on the waiting list.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The final grade is composed of
- a midterm exam (35%, focused on theory)
- homework exercises (30%, focused on AnyLogic (incl. documentation), i.e., modeling/practice)
- a final exam (35%, focused on AnyLogic)
The exams are closed-book exams.

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%

The use of AI tools (e.g. ChatGPT) is only permitted if explicitly requested by the instructor (e.g. for specific assignments). To ensure good scientific practice, the course instructor may request a "grade-relevant talk" (plausibility check) regarding the submitted work. This interview has to be completed successfully. Uploading documents anywhere other than the university’s platforms is expressly forbidden. Not adhering to this rule constitutes copyright infringement.

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). Signing for another student will be counted as cheating as well (also during homework sessions).

Students who want to take part in an exam are required to bring their student ID. Otherwise, they will be asked to go to the secretary's office to make a copy of the alternative ID (driver's licence, passport, etc.). Non-official IDs (bank cards, Vorteilscards, etc.) will NOT be accepted without any exceptions. This procedure will not extend the duration of the examination.

The students' IDs will be checked only after handing out the examination sheets. Students who are not on the list or don't have a valid identification card will not be allowed to participate in the examination even if they were already handed an examination sheet.

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 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 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: Di 08.09.2026 20:45