Duration:
1 Semester | Turnus of offer:
each summer semester | Credit points:
4 |
Course of studies, specific field and terms: - Bachelor Computer Science 2019 (optional subject), major subject informatics, Arbitrary semester
- Bachelor Robotics and Autonomous Systems 2020 (optional subject), computer science, 5th or 6th semester
- Bachelor Computer Science 2016 (optional subject), major subject informatics, Arbitrary semester
- Bachelor Robotics and Autonomous Systems 2016 (optional subject), computer science, 5th or 6th semester
- Bachelor IT-Security 2016 (compulsory), IT-Security, 6th semester
- Bachelor Computer Science 2014 (optional subject), central topics of computer science, 6th semester
- Bachelor Computer Science 2014 (compulsory), specialization field IT security and safety, 6th semester
- Bachelor Computer Science 2012 (compulsory), specialization field IT security and safety, 6th semester
- Master Computer Science 2012 (optional subject), advanced curriculum security, 2nd or 3rd semester
- Master Computer Science 2012 (optional subject), specialization field software systems engineering, 3rd semester
- Master Computer Science 2012 (optional subject), advanced curriculum parallel and distributed system architecutres, 2nd or 3rd semester
- Master Computer Science 2012 (optional subject), specialization field robotics and automation, 3rd semester
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Classes and lectures: - Dependability of Computing Systems (exercise, 1 SWS)
- Dependability of Computing Systems (lecture, 2 SWS)
| Workload: - 20 Hours exam preparation
- 45 Hours in-classroom work
- 55 Hours private studies
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Contents of teaching: | - Basic terms
- General redundancy techniques
- Fault diagnosis
- Reconfiguration and recovery
- Fault masking
- Examples for fault-tolerant systems
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Qualification-goals/Competencies: - The students are able to present the most important fault types in hardware and software and their abstraction to fault models.
- They are able to elucidate the basic redundancy techniques (static and dynamic redundancy, hybrid forms etc.).
- They are able to explain various methods for fault diagnosis, reconfiguration, recovery and fault masking.
- They are able to describe typical application examples and sample fault-tolerant computers.
- They are able to analyze fault tolerance techniques quantitatively by mathematical reliability models.
- They are able to valuate and compare suitable fault tolerance techniques and to select them for a given application area.
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Grading through: - Written or oral exam as announced by the examiner
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Responsible for this module: Teachers: |
Literature: - E. Dubrova: Fault-Tolerant Design - Springer 2013
- K. Echtle: Fehlertoleranzverfahren - Springer 1990
- I. Koren, C. M. Krishna: Fault Tolerant Systems - Morgan-Kaufman 2007
- K. Trivedi: Probability and Statistics with Reliability, Queuing, and Computer Science Applications - Wiley 2001
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Language: |
Notes:Admission requirements for taking the module: - None Admission requirements for participation in module examination(s): - Successful completion of exercise assignments as specified at the beginning of the semester Module Exam(s): - CS4172-L1: Dependability of Computing Systems, written exam, 90min, 100% of the module grade |
Letzte Änderung: 2.9.2021 |
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