Course: Dependability of Hardware Systems

» List of faculties » PRF » KI
Course title Dependability of Hardware Systems
Course code KI/KDHW
Organizational form of instruction Lecture
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Maškov Viktor, doc. RNDr. Mgr. DrSc.
Course content
1. Introduction to the problems of dependability of hardware. 2. Basics of terminology. 3. Measurement of reliability of HW. 4. Measures and metrics. 5. Measurement techniques. 6. Development of reliable HW. 7. Reliability control. 8. Fault-tolerance of hardware. 9. Redundant structures. 10. Fault trees. 11. Fault-tolerance of distributed systems. 12. Reliable group communication.

Learning activities and teaching methods
unspecified
Learning outcomes
The course gives introduction into the problems of HW system dependability. The course gives the knowledge of how to assess the reliability of hardware and gives the explanation of what reliability control means. More attention will be devoted to the fault-tolerance of hardware and to the reliable group communication.

Prerequisites
unspecified
KI/KAPC and KI/KZPP

Assessment methods and criteria
unspecified
Recommended literature
  • Aggarwal K. Reliability Engineering. Springer, 1993. ISBN 0-7923-2524-9.
  • Laprie, J.C., ed. Dependability: Basic concepts and terminology- in English, French, German, Italian and Japanese. Springer-Verlag, Vienna, Austria, 1992.
  • Mashkov V., Fišer J. Samokontrola a samodiagnostika na systémové úrovni. Lviv: Ukrainian Academic Press, 2010. ISBN 978-966-322-169-4.
  • Mashkov V. Selected problems of system level self-diagnosis. Lviv: Ukrainian Academic Press, 2011. ISBN 978-966-322-365-0.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): - (A14) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Summer