040299 KU Simulation II (MA) (2024S)
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 12.02.2024 09:00 bis Mi 21.02.2024 12:00
- Anmeldung von Mo 26.02.2024 09:00 bis Di 27.02.2024 12:00
- Abmeldung bis Do 14.03.2024 23:59
Details
max. 35 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Intermediate presentation: 06.06.2024
Final presentation: 20.06.2024
Submission final report: 04.07.2024
N
Donnerstag
02.05.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
16.05.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
16.05.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
23.05.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
06.06.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
06.06.
13:20 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
13.06.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
13.06.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
20.06.
09:45 - 13:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
20.06.
13:15 - 14:45
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
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 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.