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040669 KU Simulation I (MA) (2021W)
Continuous assessment of course work
Labels
REMOTE
Summary
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 27.09.2021 09:15 to We 29.09.2021 12:00
- Deregistration possible until Fr 15.10.2021 23:59
Registration information is available for each group.
Groups
Group 1
max. 35 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Exam 1: 29.10.2021
Exam 2: 12.11.2021
Submission mini-case study: 19.11.2021
Friday
01.10.
09:45 - 11:15
Digital
Friday
01.10.
11:30 - 13:00
Digital
Friday
08.10.
09:45 - 11:15
Digital
Friday
08.10.
11:30 - 13:00
Digital
Friday
15.10.
09:45 - 11:15
Digital
Friday
15.10.
11:30 - 13:00
Digital
Friday
22.10.
09:45 - 11:15
Digital
Friday
22.10.
11:30 - 13:00
Digital
Friday
29.10.
09:45 - 11:15
Digital
Friday
29.10.
11:30 - 13:00
Digital
Friday
05.11.
09:45 - 11:15
Digital
Friday
05.11.
11:30 - 13:00
Digital
Friday
12.11.
09:45 - 11:15
Digital
Friday
12.11.
11:30 - 13:00
Digital
Friday
19.11.
09:45 - 11:15
Digital
Friday
19.11.
11:30 - 13:00
Digital
Group 2
max. 35 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Exam 1: 29.10.2021
Exam 2: 12.11.2021
Submission mini-case study: 19.11.2021
Friday
01.10.
09:45 - 13:00
Digital
Friday
08.10.
09:45 - 13:00
Digital
Friday
15.10.
09:45 - 13:00
Digital
Friday
22.10.
09:45 - 13:00
Digital
Friday
29.10.
09:45 - 13:00
Digital
Friday
05.11.
09:45 - 13:00
Digital
Friday
12.11.
09:45 - 13:00
Digital
Friday
19.11.
09:45 - 13:00
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
The final grade is composed of
- a digital midterm exam (35%, focused on theory)
- a digital final exam (35%, focused on AnyLogic, i.e., modelling/practice)
- a mini case-study (30%, to be worked on individually, grading based on final report)
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%
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).
- a digital midterm exam (35%, focused on theory)
- a digital final exam (35%, focused on AnyLogic, i.e., modelling/practice)
- a mini case-study (30%, to be worked on individually, grading based on final report)
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%
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).
Minimum requirements and assessment criteria
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.
Examination topics
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.
Reading list
* 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)
Association in the course directory
Last modified: Tu 28.09.2021 16:28
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.
This course is held in English. A basic SCM/OR knowledge is strongly encouraged.
Online 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.