040299 KU Simulation II (MA) (2025S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 10.02.2025 09:00 bis Di 18.02.2025 12:00
- Anmeldung von Mi 26.02.2025 09:00 bis Do 27.02.2025 12:00
- Abmeldung bis Fr 14.03.2025 23:59
Details
max. 35 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Intermediate presentation: 30.05.2025 / 06.06.2025 (to be discussed)
Final presentation: 20.06.2025
Submission final report: 29.06.2025
- N Freitag 09.05. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 16.05. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 23.05. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 30.05. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 06.06. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 13.06. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 20.06. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 27.06. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
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%
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
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.
Literatur
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)
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 03.03.2025 08:45
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.