040188 KU Simulation II (MA) (2024W)
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 09.09.2024 09:00 bis Do 19.09.2024 12:00
- Anmeldung von Mi 25.09.2024 09:00 bis Do 26.09.2024 12:00
- Abmeldung bis Mo 14.10.2024 23:59
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Intermediate presentation: 10.01.2025
Final presentation: 24.01.2025
Submission final report: 07.02.2025
- N Freitag 29.11. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 06.12. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 13.12. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 10.01. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 10.01. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 17.01. 09:45 - 13:00 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 24.01. 09:45 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Freitag 31.01. 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%)
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%
The use of AI tools (e.g. ChatGPT) for the production of texts is not permitted. Any further use must be labeled.
- 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%)
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%
The use of AI tools (e.g. ChatGPT) for the production of texts is not permitted. Any further use must be labeled.
Mindestanforderungen und Beurteilungsmaßstab
At least 50% of the overall total achievable score must be obtained for a positive grade. The assessment is based on the students' ability to implement a small simulation project in AnyLogic, in-cluding 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 small groups.
Literatur
* 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)
* Hillier, F.S., Lieberman, G. J.: Introduction to Operations Research, McGraw-Hill.
* (Kelton, W.D.: Simulation with Arena, McGraw-Hill.)
* Handbook of Simulation (Wiley)
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 02.09.2024 14:45
This course is held in English. A basic SCM/OR knowledge is strongly encouraged. Prerequisites: Methods in Smart Production - Simulation I (040669).
Important information on the registration: If you want to participate in Simulation 2 in this semester, you have to register within the registration periods listed in u:find. If you do not pass Simulation 1 before the start of Simulation 2, you will be de-registered without consequences.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.