040299 KU Simulation II (MA) (2024S)
Continuous assessment of course work
Labels
ON-SITE
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 is open from Mo 12.02.2024 09:00 to We 21.02.2024 12:00
- Registration is open from Mo 26.02.2024 09:00 to Tu 27.02.2024 12:00
- Deregistration possible until Th 14.03.2024 23:59
Details
max. 35 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Intermediate presentation: 06.06.2024
Final presentation: 20.06.2024
Submission final report: 04.07.2024
Thursday
02.05.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
N
Thursday
16.05.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
16.05.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
23.05.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
06.06.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
06.06.
13:20 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
13.06.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
13.06.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
20.06.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
20.06.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday
27.06.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Information
Aims, contents and method of the course
Assessment and permitted materials
The final grade is composed of
- an intermediate presentation of the group project (30%)
- a final presentation of the group project (35%)
- a term paper containing a project summary and results discussion (35%)The use of AI tools (e.g. ChatGPT) for the production of texts is not permitted. Further use of AI tools must be labeled clearly.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%
- an intermediate presentation of the group project (30%)
- a final presentation of the group project (35%)
- a term paper containing a project summary and results discussion (35%)The use of AI tools (e.g. ChatGPT) for the production of texts is not permitted. Further use of AI tools must be labeled clearly.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%
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' ability to implement a small simulation project in AnyLogic, including all necessary preparatory (input data analysis) and consecutive (results interpretation and derivation of managerial implications) steps.
Examination topics
After a short intro including advanced topics in simulation (e.g., output data analysis), students will work on their assigned projects in groups of at most two.
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 with Arena, McGraw-Hill.)
Handbook of Simulation (Wiley)
Hillier, F.S., Lieberman, G. J.: Introduction to OperationsResearch, McGraw-Hill.
(Kelton, W.D.: Simulation with Arena, McGraw-Hill.)
Handbook of Simulation (Wiley)
Association in the course directory
Last modified: Mo 12.02.2024 08:05
This course is held in English. A basic SCM/OR knowledge is strongly encouraged. Prerequisites: Simulation 1.
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. Further, attendance during the intermediate and final presentations is mandatory.