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040669 KU Simulation I (MA) (2021W)

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

Summary

1 Söffker , Moodle
2 Söffker , 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).
Registration information is available for each group.

Groups

Group 1

max. 35 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Exam 1: 29.10.2021
Exam 2: 12.11.2021
Submission mini-case study: 19.11.2021

Friday 01.10. 09:45 - 11:15 Digital
Friday 01.10. 11:30 - 13:00 Digital
Friday 08.10. 09:45 - 11:15 Digital
Friday 08.10. 11:30 - 13:00 Digital
Friday 15.10. 09:45 - 11:15 Digital
Friday 15.10. 11:30 - 13:00 Digital
Friday 22.10. 09:45 - 11:15 Digital
Friday 22.10. 11:30 - 13:00 Digital
Friday 29.10. 09:45 - 11:15 Digital
Friday 29.10. 11:30 - 13:00 Digital
Friday 05.11. 09:45 - 11:15 Digital
Friday 05.11. 11:30 - 13:00 Digital
Friday 12.11. 09:45 - 11:15 Digital
Friday 12.11. 11:30 - 13:00 Digital
Friday 19.11. 09:45 - 11:15 Digital
Friday 19.11. 11:30 - 13:00 Digital

Group 2

max. 35 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Exam 1: 29.10.2021
Exam 2: 12.11.2021
Submission mini-case study: 19.11.2021

Friday 01.10. 09:45 - 13:00 Digital
Friday 08.10. 09:45 - 13:00 Digital
Friday 15.10. 09:45 - 13:00 Digital
Friday 22.10. 09:45 - 13:00 Digital
Friday 29.10. 09:45 - 13:00 Digital
Friday 05.11. 09:45 - 13:00 Digital
Friday 12.11. 09:45 - 13:00 Digital
Friday 19.11. 09:45 - 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.
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.

Assessment and permitted materials

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).

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 Operations Research, McGraw-Hill.
* (Kelton, W.D.: Simulation with Arena, McGraw-Hill.)
* Handbook of Simulation (Wiley)

Association in the course directory

Last modified: Tu 28.09.2021 16:28