Stud.IP Uni Oldenburg
University of Oldenburg
21.02.2024 08:46:38
inf502 - Simulation (Complete module description)
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Module label Simulation
Module abbreviation inf502
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • 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
Responsible persons
  • Hahn, Axel (module responsibility)
  • Lehrenden, Die im Modul (authorised to take exams)
Programming knowledge, primarily in Java, is mandatory
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
  • understand the handling of time and problems of discretization.
  • can solve problems with simulation after lecture. This includes modelling, use of simulation environment and evaluation of results.
  • will be learned cause of practical use, the independent handling of research questions and the use of simulation as research method
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
Recommended reading
  • 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.on für wissenschaftliche Fragestellungen kritisch zu hinterfragen
Languages of instruction German, English
Duration (semesters) 1 Semester
Module frequency annual
Module capacity unlimited
Teaching/Learning method 1VL + 1S + 1P
Previous knowledge Programming knowledge, primarily in Java, is mandatory
Type of course Comment SWS Frequency Workload of compulsory attendance
Seminar 1 SoSe 14
Lecture 2 SoSe 28
Practical training 1 SoSe 14
Total module attendance time 56 h
Examination Examination times Type of examination
Final exam of module
Registration 2 weeks after the start of lectures
Seminar / Project report