Universität Wien FIND

Due to the COVID-19 pandemic, changes to courses and exams may be necessary at short notice. Inform yourself about the current status on u:find and check your e-mails regularly. Registration is mandatory for courses and exams. Wearing a FFP2 face mask and a valid evidence of being tested, vaccinated or have recovered from an infection are mandatory on site.

Please read the information on studieren.univie.ac.at/en/info.

040669 KU Simulation I (MA) (2021S)

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

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: 16.04.2021
Exam 2: 30.04.2021
Submission case-study: 30.04.2021

There are overlaps with the seminar Smart Production and Supply Chain Management on March 5 and April 23. The lecture for Simulation 1 on March 5 will therefore start at 10.00. The lecture for Simulation 1 on April 23 will either start later (than 09.45) or it will start as planned and be recorded for those participating in the seminar. The details will be announced later.

Friday 05.03. 09:45 - 11:15 Digital
Friday 05.03. 11:30 - 13:00 Digital
Friday 19.03. 09:45 - 11:15 Digital
Friday 19.03. 11:30 - 13:00 Digital
Friday 26.03. 09:45 - 11:15 Digital
Friday 26.03. 11:30 - 13:00 Digital
Friday 16.04. 09:45 - 11:15 Digital
Friday 16.04. 11:30 - 13:00 Digital
Friday 23.04. 09:45 - 11:15 Digital
Friday 23.04. 11:30 - 13:00 Digital
Friday 23.04. 13:15 - 14:00 Digital
Friday 30.04. 09:45 - 11:15 Digital
Friday 30.04. 11:30 - 13:00 Digital

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.

Assessment and permitted materials

The final grade is composed of
- a midterm exam (35%, open book)
- a final exam (35%, open book)
- a mini case-study (30%, to be worked on individually, grading based on final report)

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 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.

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: We 21.04.2021 11:25