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A course is the basic teaching unit, it's design as a medium for a student to acquire comprehensive knowledge and skills indispensable in the given field. A course guarantor is responsible for the factual content of the course.
For each course, there is a department responsible for the course organisation. A person responsible for timetabling for a given department sets a time schedule of teaching and for each class, s/he assigns an instructor and/or an examiner.
Expected time consumption of the course is expressed by a course attribute extent of teaching. For example, extent = 2 +2 indicates two teaching hours of lectures and two teaching hours of seminar (lab) per week.
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The difficulty of a given course is evaluated by the amount of ECTS credits.
The course is in session (cf. teaching is going on) during a semester. Each course is offered either in the winter ('zimní') or summer ('letní') semester of an academic year. Exceptionally, a course might be offered in both semesters.
The subject matter of a course is described in various texts.

ANI-ESW Embedded Software Extent of teaching: 2P+2C

Instructor: Kubátová H., Skrbek M. Completion: Z,ZK

Department: 18103 Credits: 5 Semester: Z

Annotation:
The course introduces students to the principles and distinctive features of software development for embedded systems. It leads students from the basics of programming in C and code optimization through key topics such as reliable software design, embedded operating systems, and signal processing, culminating in advanced methods that integrate embedded software development with artificial intelligence.

Lecture syllabus:

1. Software in embedded systems.

2. Programming languages and high level synthesis

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

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

5. Reliable software development, debugging, and testing.

6. Operating systems for embedded systems.

7. Signal processing.

8. Digital filters and their implementation.

9. Software for control applications.

10. Programming of industrial robots.

11. Artificial intelligence in embedded systems.

12. AI model optimization for systems with limited resources and computational power.

13. Development of autonomous systems.

Seminar syllabus:
The exercises include seminars on signal processing, laboratory tasks on high-level synthesis, model-driven design, and AI solutions for embedded systems.

Literature:

1. Hobbs, C.: Embedded Software Development for Safety-Critical Systems (2st Edition). Auerbach Publications, 2019. ISBN 978-0367338855.

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. P. P. Vaidyanathan: Continuous Signals and Systems with MATLAB. Cambridge: Cambridge University Press, 2024. ISBN 978-1009412292.

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.

Requirements:
Knowledge of C/C++ programming and basic knowledge of computer hardware and architectures

Výukové materiály na https://courses.fit.cvut.cz

The course is also part of the following Study plans:

Study Plan Study Branch Role Recommended semester

QNI Unspecified Specialisation of Study V 1

ANI-WI Web Engineering VO 1

ANI-SI Software Engineering (in Czech) VO 1

NI-PB.2026 Computer Security V 1

NI-SPOL.2026 Unspecified Specialisation of Study V 1

NI-UI.2026 Artificial Intelligence V 1

NI-PJ.2026 Programming Languages V 1

NI-TI.2026 Computer Science V 1

NI-PSS.2026 Computer Systems and Networks V 1

ANI-MI Business Informatics VO 1

ANI-VG Visual computing and Game design VO 1

ANI-SPOL Unspecified Specialisation of Study VO 1

ANI-ES Embedded systems PS 1

Page updated 18. 8. 2026, semester: Z/2023-4, Z/2021-2, Z/2022-3, L/2025-6, L/2022-3, Z/2025-6, L/2023-4, L/2024-5, Z/2026-7, L/2021-2, L/2026-7, Z/2024-5, Send comments to the content presented here to Administrator of study plans Design and implementation: J. Novák, I. Halaška

ANI-ESW	Embedded Software			Extent of teaching:	2P+2C
Instructor:	Kubátová H., Skrbek M.			Completion:	Z,ZK
Department:	18103	Credits:	5	Semester:	Z

1.		Software in embedded systems.
2.		Programming languages and high level synthesis
3.		Code optimization with respect to power consumption, resources and performance.
4.		Model-based design and HW/SW co-design.
5.		Reliable software development, debugging, and testing.
6.		Operating systems for embedded systems.
7.		Signal processing.
8.		Digital filters and their implementation.
9.		Software for control applications.
10.		Programming of industrial robots.
11.		Artificial intelligence in embedded systems.
12.		AI model optimization for systems with limited resources and computational power.
13.		Development of autonomous systems.

1.		Hobbs, C.: Embedded Software Development for Safety-Critical Systems (2st Edition). Auerbach Publications, 2019. ISBN 978-0367338855.
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.		P. P. Vaidyanathan: Continuous Signals and Systems with MATLAB. Cambridge: Cambridge University Press, 2024. ISBN 978-1009412292.
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.