IA158 Real Time Systems

Faculty of Informatics
Spring 2022
Extent and Intensity
2/0/1. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Taught in person.
doc. RNDr. Tomáš Brázdil, Ph.D. (lecturer), RNDr. Zdeněk Matěj, Ph.D. (deputy)
Mgr. Jan Koniarik (seminar tutor)
Guaranteed by
doc. RNDr. Tomáš Brázdil, Ph.D.
Department of Machine Learning and Data Processing - Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing - Faculty of Informatics
Basic programming skill in C is expected.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 48 fields of study the course is directly associated with, display
Course objectives
At the end of the course students should: know specific aspects of real-time systems; understand main problems of the design of real-time systems and know some solutions; be able to use formal reasoning about real-time systems.
Learning outcomes
At the end of the course student will have a comprehensive knowledge of real time systems and related areas. Will be able to distinguish basic types of real-time systems. Will be aware of typical design errors in real-time and embedded systems and their standard solutions. Will understand fundamental real-time scheduling and resource management algorithms. Will have a basic knowledge of implementation details of these algorithms in standard programming environments.
  • Real-time aspects of embedded systems; examples of real-time systems. Soft and hard real-time systems.
  • Real-time scheduling: periodic and aperiodic tasks, priority-driven scheduling, resource access control.
  • Basic information about real-time operating systems and programming.
    recommended literature
  • J.W.S. Liu: Real-Time Systems. Prentice-Hall, 2000
    not specified
  • CIBRARIO BERTOLOTTI, Ivan and Gabriele MANDUCHI. Real-time embedded systems : open-source operating systems perspective. Boca Raton, FL: CRC Press, 2012. xxvii, 506. ISBN 9781439841549. info
Teaching methods
Assessment methods
homework exercises, oral exam
Language of instruction
Further Comments
The course is taught annually.
The course is taught: every week.
The course is also listed under the following terms Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fi/spring2022/IA158