Embedded Software

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Code Completion Credits Range Language
NIE-ESW Z,ZK 5 2P+1C English
Garant předmětu:
Hana Kubátová
Hana Kubátová, Miroslav Skrbek
Miroslav Skrbek
Department of Digital Design

Embedded software course acquainted students with the specifics of software development for embedded systems. The course covers the areas from the basic techniques of programming in C language and code optimizations, through typical areas as the reliable software development, embedded operating systems, signal processing, up to sophisticated techniques combined with artificial intelligence.


Programming in C, embedded systems fundamentals.

Syllabus of lectures:

1. Specifics of software development for embedded systems.

2. Programming languages.

3. Code optimization with respect to power consumption, cost, and performance.

4. Reliable software development, debugging, and testing.

5. Interrupt, cooperative multitasking, RTOS.

6. Real-time operating systems.

7. Signal processing.

8. DSP applications programming.

9. Software for control applications.

10. Model-based design and HW/SW co-design.

11. Programming of industrial robots.

12. Artificial intelligence in embedded systems.

Syllabus of tutorials:

Course labs are project-oriented. The topics of student projects reflect the topics in the lectures. Projects also emphasize project management and students' presentation skills.

Study Objective:

The aim of the course is to provide students with a deeper insight into embedded systems. Mainly to show the integration of modern technologies and artificial intelligence in embedded systems and to provide students with a broad perspective with a view to applying advanced technologies in their final theses and technical practice after graduation.

Study materials:

[1] Hobbs, C. : Embedded Software Development for Safety-Critical Systems (1st Edition). Auerbach Publications, 2015. ISBN 978-1498726702.

[2] Fan, X. : Real-Time Embedded Systems: Design Principles and Engineering Practices. Newnes, 2015. ISBN 978-0128015070.

[3] Lynch, K. M. - Park, F. C. : Modern Robotics: Mechanics, Planning, and Control. Cambridge University Press, 2017. ISBN Cambridge University Press.

[4] ElAli, T. - Karim, M. A. : Continuous Signals and Systems with MATLAB. CRC Press, 2018. ISBN 978-1420054743.

[5] Dinwiddie, K. : Industrial Robotics.Cengage Learning (1st Edition). Delmar Cengage Learning, 2018. ISBN 978-1133610991.

[6] Moons, B. - Bankman, D. - Verhelst, M. : Embedded Deep Learning: Algorithms, Architectures and Circuits for Always-on Neural Network Processing. Springer, 2018. ISBN 978-3319992228.

Further information:
Time-table for winter semester 2024/2025:
Time-table is not available yet
Time-table for summer semester 2024/2025:
Time-table is not available yet
The course is a part of the following study plans:
Data valid to 2024-04-13
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