040188 KU Simulation II (MA) (2020W)
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 14.09.2020 09:00 bis Mi 23.09.2020 12:00
- Anmeldung von Mo 28.09.2020 09:00 bis Mi 30.09.2020 12:00
- Anmeldung von Fr 27.11.2020 18:00 bis Mi 02.12.2020 15:00
- Abmeldung bis Mi 02.12.2020 15:00
Details
max. 35 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Mittwoch 02.12. 16:45 - 18:15 Digital
- Mittwoch 02.12. 18:30 - 20:00 Digital
- Mittwoch 09.12. 16:45 - 18:15 Digital
- Mittwoch 09.12. 18:30 - 20:00 Digital
- Mittwoch 13.01. 16:45 - 18:15 Digital
- Mittwoch 13.01. 18:30 - 20:00 Digital
- Mittwoch 20.01. 16:45 - 18:15 Digital
- Mittwoch 20.01. 18:30 - 20:00 Digital
- Mittwoch 27.01. 16:45 - 18:15 Digital
- Mittwoch 27.01. 18:30 - 20:00 Digital
- Mittwoch 03.02. 16:45 - 18:15 Digital
- Mittwoch 03.02. 18:30 - 20:00 Digital
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%
- 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%
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: Fr 12.05.2023 00:12
is to be presented in class and summarized in a short seminar paper.
This course is held in English. A basic SCM/OR knowledge is strongly encouraged. Prerequisites: simulation 1 (040669).
Online attendance during the first lesson, intermediate and final presentation is mandatory, meaning that if a student is missing or not on time, they will be dropped from this course.