Modelling and Simulation
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
Module version of SS 2012 (current)
There are historic module descriptions of this module. A module description is valid until replaced by a newer one.
Whether the module’s courses are offered during a specific semester is listed in the section Courses, Learning and Teaching Methods and Literature below.
|available module versions|
|SS 2012||WS 2011/2|
IN2010 is a semester module in English language at Bachelor’s level and Master’s level which is offered in summer semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
|Total workload||Contact hours||Credits (ECTS)|
|240 h||90 h||8 CP|
Content, Learning Outcome and Preconditions
- Discrete modelling and simulation (decision models: games, strategies, elections; scheduling problems; discrete event simulation: data and job traffic; neural networks)
- Continuous modelling and simulation (population dynamics: models and their numerical treatment; control: deterministic and fuzzy logic approaches; traffic flow: modelling via continuous quantities; heat conduction: models and their numerical treatment)
- Modelling in software design (optional; basic concepts, description techniques, methodology)
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||4||Modelling and Simulation (IN2010)||
|UE||2||Modelling and Simulation, Exercise Session (IN2010)||
Learning and Teaching Methods
Students will be encouraged to study literature and to get involved with the topics in depth. In the tutorials, concrete problems will be solved - partially in teamwork - and selected examples will be discussed.
- Fowkes, Mahoney: Einführung in die mathematische Modellierung, Spektrum,1996
- Gander, Hrebicek: Solving Problems in Scientific Computing Using Maple and MATLAB, Springer, 1997
- Bossel: Modellbildung und Simulation, Vieweg, 1994
- Banks et al.: Discrete Event System Simulation, Prentice Hall, 1996
- Golub, Ortega: Scientific Computing: An Introduction with Parallel Computing, Academic Press, 1993
- Nauck, Klawonn, Kruse: Neuronale Netze und Fuzzy-Systeme, Vieweg, 1994
Description of exams and course work
The exam takes the form of a 120 minutes written test. In the exam students should prove to be able to identify a given problem and find solutions within limited time. The examination will completely cover the content of the lectures. The answers will require own formulations. In addition, questions requiring short calculations may be posed. Exam questions check the ability to develop and to assess formal (mathematical or informatical) model concepts for a verbally described problem. The assignments test whether the participants are able to select and apply successfully strategies for simulation. Exam tasks evaluate the students' knowledge on important model classes and corresponding solution procedures for simple scenarios.
The exam may be repeated at the end of the semester.