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Lecturer(s)
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Maškov Viktor, doc. RNDr. Mgr. DrSc.
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Fišer Jiří, Mgr. Ph.D.
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Beránek Pavel, Ing. Mgr.
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Course content
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1. Introduction to the problems of dependability 2. Fault-tolerance of information systems 3. Techniques for providing fault-tolerance of information systems 4. Self-checking and self-diagnosis at system level 5. Selfdiagnosis: basics 6. Algorithms of selfdiagnosis 7. Organization of selfdiagnosis 8. Recovery blocks 9. N-variant programming and object oriented programming 10. Exception handling in N-variant programming 11. Competing and cooperative concurrent systems 12. Coordinated atomic actions 13. Dependability concepts with respect to malicious faults
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The course gives introduction into the problem of dependability of information systems. The issues of self-checking and self-diagnosis of computing systems will be explained in details during the given course. The main subject of the course focuses on the tasks of reliability and fault-tolerance of information system.
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Prerequisites
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unspecified
KI/KPGL1
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Assessment methods and criteria
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unspecified
- student draws lots to answer questions; - the questions are restricted to the course syllabus; - the level of knowledge should correspond to the content of lectures; - students will get the list of questions two weeks prior to the exam; The expected knowledge of students: - knowledge of terminology and concepts; - knowledge and understanding of the main threats to system dependability; - knowledge of the means for achieving system dependability; - knowledge of the means for providing software reliability.
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Recommended literature
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Laprie, J.C., ed. Dependability: Basic concepts and terminology- in English, French, German, Italian and Japanese. Springer-Verlag, Vienna, Austria, 1992.
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Mashkov V., Fišer J. Samokontrola a samodiagnostika na systémové úrovni. Lviv: Ukrainian Academic Press, 2010. ISBN 978-966-322-169-4.
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Mashkov V. Selected problems of system level self-diagnosis. Lviv: Ukrainian Academic Press, 2011. ISBN 978-966-322-365-0.
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