Stud.IP Uni Oldenburg
University of Oldenburg
25.10.2020 01:54:22
inf502 - Simulation (Complete module description)
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Module label Simulation
Module code inf502
Credit points 6.0 KP
Workload 180 h
Faculty/Institute Department of Computing Science
Used in course of study
  • Master's Programme Business Informatics (Master) > Akzentsetzungsmodule der Informatik
  • Master's Programme Computing Science (Master) > Angewandte Informatik
  • Master's Programme Engineering of Socio-Technical Systems (Master) > Systems Engineering
Contact person
Module responsibility
Authorized examiners
Entry requirements
Skills to be acquired in this module
Simulation is a major tool for gaining knowledge about systems and their behavior. It can be used to gain system understanding and prediction future system status. The module covers mathematical basic as well a basic simulation technology. The module completes itself by addressing application examples. By seminar and practical work, the students get hands on experience of simulation technologies.

Professional competence
The students:
  • get an overview on methods, tools and application areas of simulation. They know what simulation can do and what are its limitation. Covered application are mainly in transportation and production domain.

Methodological competence
The students:
  • know simulation technologies and model building basics. They understand the handling of time and problems of discretization. After lecture students can solve problems with simulation. This includes modelling, use of simulation environment and evaluation of results. Cause of practical use, the independent handling of research questions and the use of simulation as research method will be learned.

Social competence
The students:
  • gain team and social skills by self-organized development of simulation.

The students:
  • can apply simulation technologies on scientific research questions.
Module contents
In lectures the students get background information and simulation basics. Then they apply their knowledge by developing an own simulation by using state of the art simulation environments
Reader's advisory
  • Bungart, H. J., Zimmer, S., Bucholz, M., & Pflüger, D. (2013). Modellbildung und Simulation.
  • Bartholomae, F., & Wiens, M. (2016). Spieltheorie: ein anwendungsorientiertes Lehrbuch. Springer-Verlag.
  • Banks, J., CARSON II, J. S., & Barry, L. (2010). Discrete-event system simulation fifth edition. Pearson.
  • Wooldridge, M. (2009). An introduction to multiagent systems. John Wiley & Sons.
Languages of instruction German, English
Duration (semesters) 1 Semester
Module frequency annualy
Module capacity unlimited
Modullevel AS (Akzentsetzung / Accentuation)
Modulart je nach Studiengang Pflicht oder Wahlpflicht
Lern-/Lehrform / Type of program V+S+P
Vorkenntnisse / Previous knowledge Programmierkenntnisse vornehmlich in Java sind zwingend erforderlich
Course type Comment SWS Frequency Workload attendance
Seminar 1.00 SuSe 14 h
Lecture 2.00 SuSe 28 h
Practical 1.00 SuSe 14 h
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
Anmeldung 2 Wochen nach Vorlesungsbeginn
M (Seminar / Projektbericht)