Stud.IP Uni Oldenburg
University of Oldenburg
21.09.2021 07:35:21
inf502 - Simulation (Course overview)
Department of Computing Science 6 KP
Module components Semester courses Sommersemester 2021 Examination
Seminar
  • Unlimited access 2.01.502 - Simulation Show lecturers
    • Prof. Dr.-Ing. Axel Hahn
    • David Reiher

    Tuesday: 08:00 - 10:00, weekly (from 13/04/21), VL
    Tuesday: 12:00 - 14:00, weekly (from 13/04/21), Ü

Lecture
  • Unlimited access 2.01.502 - Simulation Show lecturers
    • Prof. Dr.-Ing. Axel Hahn
    • David Reiher

    Tuesday: 08:00 - 10:00, weekly (from 13/04/21), VL
    Tuesday: 12:00 - 14:00, weekly (from 13/04/21), Ü

Practical training
  • Unlimited access 2.01.502 - Simulation Show lecturers
    • Prof. Dr.-Ing. Axel Hahn
    • David Reiher

    Tuesday: 08:00 - 10:00, weekly (from 13/04/21), VL
    Tuesday: 12:00 - 14:00, weekly (from 13/04/21), Ü

Notes for the module
Time of examination
Anmeldung 2 Wochen nach Vorlesungsbeginn
Module examination
M (Seminar / Projektbericht)
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.

Self-competence
The students:
  • can apply simulation technologies on scientific research questions.