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Matlab-Simulink in the Information Technology

Module name (EN):
Name of module in study programme. It should be precise and clear.
Matlab-Simulink in the Information Technology
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering, Bachelor, ASPO 01.10.2012
Module code: E1417
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.
P211-0183
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.
2V (2 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.
3
Semester: 4
Mandatory course: yes
Language of instruction:
English/German
Assessment:
Project work

[updated 14.07.2016]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E1417 (P211-0183) Electrical Engineering, Bachelor, ASPO 01.10.2012 , semester 4, mandatory course
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).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 90 hours (equivalent to 3 ECTS credits).
There are therefore 67.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
E1101
E1201
E1301


[updated 14.07.2016]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Martin Buchholz
Lecturer:
Prof. Dr. Martin Buchholz


[updated 14.07.2016]
Learning outcomes:
The students learn how to solve mathematical problems numerically and how to simulate systems with MATLAB and Simulink. The acquired theoretical basic knowledge can be applied in information engineering applications and practical projects. On the basis of typical tasks, the students learn how to generate, process and evaluate signals and systems of signal theory and telecommunications. They can process data and depict and analyse simulation results.

[updated 14.07.2016]
Module content:
Chapter 0: MATLAB – What is it?
Chapter 1: User guidance in MATLAB
Chapter 2: Interactive working with basic elements and functions of MATLAB
Chapter 3: Programming in MATLAB: Scripts and functions
Chapter 4: Graphic
Chapter 5: File operations
Chapter 6: Signal processing with MATLAB
Chapter 7: Symbolic calculating
Chapter 8: Introduction to Simulink
Chapter 9: Signal processing with Simulink

[updated 14.07.2016]
Teaching methods/Media:
lecture notes, smart board, PC with MATLAB Classroom Licences

[updated 14.07.2016]
Recommended or required reading:
Kammeyer, K.-D.; Kroschel, K.: Digitale Signalverarbeitung, Filterung und Spektralanalyse mit MATLAB Übungen, Teubner Hoffmann, J.; Quint F.: Signalverarbeitung mit MATLAB und Simulink, Anwendungsorientierte Simulationen, Oldenbourg Verlag Bode, H.: MATLAB - Simulink, Analyse und Simulation dynamischer Systeme, Teubner Grupp, F.: Simulink - Grundlagen und Beispiele, Oldenbourg Verlag

[updated 14.07.2016]
 
[Mon Dec 23 09:50:20 CET 2024, CKEY=ema, BKEY=e2, CID=E1417, LANGUAGE=en, DATE=23.12.2024]