IA158 Real Time Systems

Faculty of Informatics
Spring 2009
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Radek Pelánek, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Václav Přenosil, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Fri 8:00–9:50 B311, Fri 8:00–9:50 B411
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 18 fields of study the course is directly associated with, display
Course objectives
For many computer systems, particularly for embedded systems, correct real time behavior is fundamental. Examples of applications that require real time computing include air traffic control, robotics, nuclear power plants, railway switching systems. This course overviews the area of real time systems with a focus on three topics: real time programming languages, real time scheduling, and formal verification of real time systems. After 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; have a practical experience with a real time system.
Syllabus
  • Real time aspects of embedded systems; examples of real time systems. Soft and hard real time systems.
  • Real time scheduling: periodic tasks, priority-driven scheduling, resource access control.
  • Real time programming, real time operating systems, POSIX.
  • Lego Mindstorms project.
  • Verification of real time systems: timed automata, timed logics, verification with the Uppaal tool.
Literature
  • J.W.S. Liu: Real-Time Systems. Prentice-Hall, 2000
Assessment methods
lectures, lab sessions, project (Lego Mindstorms) evaluation: 60% written exam, 40% homework excercises and projects
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~xpelanek/IA158/
The course is also listed under the following terms Spring 2007, Spring 2008, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024.
  • Enrolment Statistics (Spring 2009, recent)
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