Universität Wien

040669 KU Simulation I (MA) (2024W)

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

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. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

On 22.11.2024 the exam will start at 11:00, before that you will have the opportunity to ask questions between 10:00-11:00.
The deadline for the case study will be 24.11.2024, 23:59. Any homework deadline will be Wednesday before the lecture at 23:59.

  • Friday 04.10. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 11.10. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 18.10. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 25.10. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 08.11. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 15.11. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

This course aims to introduce students to simulation modeling, data analysis, and programming logic, which are important decision-support instruments 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. Julia and Visual Studio Code will be introduced for the data analysis and programming parts.
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.

Important information on the registration: If you want to participate in Advanced Topics in Smart Production and Supply Chain Management I (Simulation 2) in this semester, you have to register within the registration periods listed in u:find. If you do not pass this course before the start of
Advanced Topics (sim2), you will be de-registered from it without consequences.

Assessment and permitted materials

The final grade is composed of
- active participation in the lectures (10%)
- weekly short homework assignments (25% focused on Anylogic and programming practice)
- a final exam (35%, focused on theory and understanding of basic programming logic)
- a mini case study (30%, to be worked on individually, grading based on final report and model (Anylogic))
The final exam is a closed-book exam.

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).

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 achievable score must be obtained for a positive grade (not all individual parts must be over 50% but the sum of all parts)
The assessment is based on the students' theoretical and practical capabilities acquired throughout the course.

Examination topics

This course has a strong focus on simulation as well as a gentle introduction to programming and data analysis. The theory part mostly consists of simulation theory (queueing theory) and other principles for smart production. Individual lectures will have the first half focused on theory and the second half focused on hands-on guided practice.
In order to get a good grade one must: participate in class, understand Anylogic well enough to complete a small case study, understand the theory for the exam, and complete short weekly homework to prepare for the exam and the case study.

Reading list

* Provided short videos and documentation weekly for preparation before the lecture. (max 30 minutes per week)
* 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)

Association in the course directory

Last modified: Th 03.10.2024 16:45