Universität Wien

040669 KU Simulation I (MA) (2022S)

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

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

Exam 1 (midterm exam): 01.04.2022
Exam 2 (final exam): 29.04.2022
Submission mini case study: 06.05.2022

  • Friday 04.03. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 18.03. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 25.03. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 01.04. 09:45 - 13:00 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 08.04. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 25.04. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Friday 29.04. 09:45 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 06.05. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

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.

Assessment and permitted materials

The final grade is composed of
- a midterm exam (35%, focused on theory)
- a 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 and model)
The final exam is an open-book exam. The midterm exam is a closed-book exam if the class is conducted on-site as planned and an open-book exam if the class is conducted online.

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%

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.

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' theoretical (e.g., solving problems from queuing theory) and practical capabilities (implementing simulation models in AnyLogic) acquired throughout the course.

Examination topics

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.

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: Tu 09.01.2024 00:09