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Simulation

Module name (EN):
Name of module in study programme. It should be precise and clear.
Simulation
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Bachelor, ASPO 01.10.2021
Module code: WIBb21-660
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P450-0341
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
30SU (30 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 6
Mandatory course: yes
Language of instruction:
German
Assessment:
Exam

[updated 18.06.2025]
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
450 class hours (= 337.5 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore -187.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
WIBb21-230


[updated 28.05.2025]
Recommended as prerequisite for:
Module coordinator:
Studienleitung
Lecturer: Studienleitung

[updated 08.10.2021]
Learning outcomes:
After successfully completing this module, students will:
• be able to implement specified systems in Matlab/Simulink
• be able to analyze the implemented models and the signals generated by them with regard to selected properties
• be able to analyze and describe the influence of various parameters and initial conditions on the behavior of the system in response to questions
• be able to select and adjust parameters and start conditions to generate a specified system behavior in a model

[updated 18.06.2025]
Module content:
1. Basics of MATLAB/Simulink
2. The implementation of technical and economic models from various fields of application (e.g., production, automotive, etc.)
3. Analysis and interpretation of simulation models


[updated 18.06.2025]
Teaching methods/Media:
Lectures, seminar-style teaching, digitally supported teaching, self-study

[updated 18.06.2025]
Recommended or required reading:
• Glöckler, M.: Simulation mechatronischer Systeme – Grundlagen und Beispiele für MATLAB und Simulink. Springer 2018
• Pietruszka, W.: MATLAB und Simulink in der Ingenieurpraxis. Modellbildung, Berechnung, Simulation. Springer, 2014
• Hoffmann, J.: Simulation technischer linearer und nichtlinearer Systeme mit Matlab/Simulink, DeGruyter, Oldenbourg, 2014
• Nollau, R.: Modellierung und Simulation technischer Systeme. Springer, 2009
• RRZN-Handbuch: Matlab/Simulink – Eine Einführung.
• Bosl, A.: Einführung in MATLAB/Simulink. Berechnung, Programmierung, Simulation. Hanser Verlag, 2017


[updated 18.06.2025]
 
[Wed Jul  9 19:40:43 CEST 2025, CKEY=wsc, BKEY=wit, CID=WIBb21-660, LANGUAGE=en, DATE=09.07.2025]