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040669 KU Simulation I (MA) (2021S)
Prüfungsimmanente Lehrveranstaltung
Labels
DIGITAL
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 11.02.2021 09:00 bis Mo 22.02.2021 12:00
- Anmeldung von Do 25.02.2021 09:00 bis Fr 26.02.2021 12:00
- Abmeldung bis Mi 31.03.2021 23:59
Details
max. 35 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Exam 1: 16.04.2021
Exam 2: 30.04.2021
Submission case-study: 30.04.2021
- Freitag 05.03. 09:45 - 11:15 Digital
- Freitag 05.03. 11:30 - 13:00 Digital
- Freitag 19.03. 09:45 - 11:15 Digital
- Freitag 19.03. 11:30 - 13:00 Digital
- Freitag 26.03. 09:45 - 11:15 Digital
- Freitag 26.03. 11:30 - 13:00 Digital
- Freitag 16.04. 09:45 - 11:15 Digital
- Freitag 16.04. 11:30 - 13:00 Digital
- Freitag 23.04. 09:45 - 11:15 Digital
- Freitag 23.04. 11:30 - 13:00 Digital
- Freitag 23.04. 13:15 - 14:00 Digital
- Freitag 30.04. 09:45 - 11:15 Digital
- Freitag 30.04. 11:30 - 13:00 Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
The final grade is composed of
- a midterm exam (35%, open book)
- a final exam (35%, open book)
- a mini case-study (30%, to be worked on individually, grading based on final report)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%Cheating during an examination will be sanctioned according to the university's constitution in its current form (i.e., the entire course will not be graded but marked as cheated and counted as one attempt). Signing for another student will be counted as cheating as well (also during homework sessions).Students who want to take part in an exam are required to bring their student ID. Otherwise, they will be asked to go to the secretary's office to make a copy of the alternative ID (driver's licence, passport, etc.). Non-official IDs (bank cards, Vorteilscards, etc.) will NOT be accepted without any exceptions. This procedure will not extend the duration of the examination.The students' IDs will be checked only after handing out the examination sheets. Students who are not on the list or don't have a valid identification card will not be allowed to participate in the examination even if they were already handed an examination sheet.
- a midterm exam (35%, open book)
- a final exam (35%, open book)
- a mini case-study (30%, to be worked on individually, grading based on final report)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%Cheating during an examination will be sanctioned according to the university's constitution in its current form (i.e., the entire course will not be graded but marked as cheated and counted as one attempt). Signing for another student will be counted as cheating as well (also during homework sessions).Students who want to take part in an exam are required to bring their student ID. Otherwise, they will be asked to go to the secretary's office to make a copy of the alternative ID (driver's licence, passport, etc.). Non-official IDs (bank cards, Vorteilscards, etc.) will NOT be accepted without any exceptions. This procedure will not extend the duration of the examination.The students' IDs will be checked only after handing out the examination sheets. Students who are not on the list or don't have a valid identification card will not be allowed to participate in the examination even if they were already handed an examination sheet.
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' theoretical (e.g., solving problems from queuing theory) and practical capabilities (implementing simulation models in AnyLogic) acquired throughout the course.
The assessment is based on the students' theoretical (e.g., solving problems from queuing theory) and practical capabilities (implementing simulation models in AnyLogic) acquired throughout the course.
Prüfungsstoff
The first part of the course is mainly geared towards acquiring the necessary theoretical foundations of queuing systems and simulation in general. This also includes a primer in statistics and selected topics like random number generation and distribution fitting. The second part focuses on "hands-on" experience with the simulation software package "AnyLogic". Students will be concerned with the implementation and analysis of small queueing systems as simulation models.
Literatur
Law, A.M.: Simulation Modeling & Analysis, McGraw-Hill.
Hillier, F.S., Lieberman, G. J.: Introduction to OperationsResearch, McGraw-Hill.
(Kelton, W.D.: Simulation withArena, McGraw-Hill.)
Handbook of Simulation (Wiley)
Hillier, F.S., Lieberman, G. J.: Introduction to OperationsResearch, McGraw-Hill.
(Kelton, W.D.: Simulation withArena, McGraw-Hill.)
Handbook of Simulation (Wiley)
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Di 09.01.2024 00:09
Besides theoretical foundations, with a strong focus on queuing theory, the students will come into contact with a professional simulation software package (AnyLogic) based on which small examples will be implemented, run and analyzed.