ELT10180 – Selected Topics in Embedded Systems: Software, Tools and Algorithms

Module
Selected Topics in Embedded Systems: Software, Tools and Algorithms
Selected Topics in Embedded Systems: Software, Tools and Algorithms
Module number
ELT10180
Version: 1
Faculty
Electrical Engineering
Level
Master
Duration
1 Semester
Semester
Summer semester
Module supervisor

Herr Prof. Dr.-Ing. Gernot Herbst
gernot.herbst(at)fh-zwickau.de
Lecturer(s)

Herr Prof. Dr.-Ing. Gernot Herbst
gernot.herbst(at)fh-zwickau.de
Lecturer in: "Selected Topics in Embedded Systems: Software, Tools and Algorithms"

Prof. Dr. Kevin Hipp
Kevin.Hipp(at)fh-zwickau.de
Lecturer in: "Selected Topics in Embedded Systems: Software, Tools and Algorithms"
Course language(s)

English
in "Selected Topics in Embedded Systems: Software, Tools and Algorithms"
ECTS credits

5.00 credits

Workload

150 hours

Courses

4.00 SCH (2.00 SCH Internship | 2.00 SCH Lecture with integrated exercise / seminar-lecture)
Self-study time

90.00 hours

Pre-examination(s)
None
Examination(s)

schriftliche Prüfungsleistung
Module examination | Examination time: 90 min | Weighting: 100% | wird in englischer Sprache abgenommen
in "Selected Topics in Embedded Systems: Software, Tools and Algorithms"
Media type
No information
Instruction content/structure

This lecture series covers various topics in the domain of embedded systems software, e.g.:

  • Algorithms for data integrity, signal processing and control systems
  • Data coding and compression
  • Features of real-world embedded software (e.g. boot loaders, self-testing abilities)
  • Tools for model-based development and code generation
  • Tools for in-the-loop simulation and testing

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Qualification objectives

Students will be familiar with a variety of topics connected with the design and implementation of embedded systems software for real-world industrial applications. After completing the course, they should be able to understand and implement selected algorithms, and have gained experience with relevant software tools.

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Special admission requirements

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Recommended prerequisites
No information
Continuation options

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Literature

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Notes
No information
Assignment to curriculum
No information
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