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Lecturer(s)
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Course content
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1. Fundamental terms of the theory of reliability, failure differentiation 2. Failure model, reliability characteristics and his calculation 3. Continuous reliability distribution of failure 4. Discrete reliability failures distribution; Estimation of parameters distribution of failure 5. Reliability of non-renewable systems - serious and parallel systems 6. Reliability of non-renewable systems - method of decomposition, paths and sections 7. Redundancy; Probability of renewable systems - renewal theory 8. Markov model - theory; Markov chain 9. Markov process 10. Event tree analysis - theory, construction 11. Fault tree analysis - theory, construction 12. Fault tree analysis, Event tree analysis - qualitative and quantitative analysis 13. Basic concepts of statistical data processing, methods of analysis
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Learning activities and teaching methods
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- Preparation for an examination (30-60)
- 42 hours per semester
- Preparation for formative assessments (2-20)
- 10 hours per semester
- Contact hours
- 52 hours per semester
- unspecified
- 36 hours per semester
- Contact hours
- 16 hours per semester
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| prerequisite |
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| Knowledge |
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| to clarify the basic concepts of probability theory (random experiment, random phenomenon, probability of phenomenon, etc.) to describe the basic computational procedures of mathematical calculus |
| Skills |
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| to apply basic computational methods of mathematical calculus |
| Competences |
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| N/A |
| N/A |
| learning outcomes |
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| Knowledge |
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| to explain the basic concepts of quality and theory of reliability |
| to describe in its own terms the basics of the reneal theory |
| to describe ways to increase system reliability and apply reliability calculations for individual backup methods |
| to orientate in the use of mathematical statistics and data analysis in reliability |
| Skills |
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| to apply the basic calculuses of probability theory and apply them to the field of reliability |
| to apply computational methods for selected continuous and discrete statistical distribution of random variables |
| to apply methods to determine the reliability of simple and complex systems |
| to distinguish degradation mechanisms and to explain the use of Arhenius law for constructing of lifetime curves |
| to apply computational methods for evaluating renewed systems using Markov models |
| to distinguish Failure Tree Analysis (FTA) and Event Tree Analysis (ETA) and calculate them |
| to use of tools to evaluate process control and process eligibility |
| Competences |
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| N/A |
| teaching methods |
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| Knowledge |
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| Lecture with visual aids |
| Skills |
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| Lecture with visual aids |
| Seminar classes |
| Competences |
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| Lecture with visual aids |
| assessment methods |
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| Knowledge |
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| Combined exam |
| Test |
| Skills |
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| Combined exam |
| Test |
| Competences |
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| Combined exam |
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Recommended literature
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Bednařík, Josef. Technika spolehlivosti v elektronické praxi. 1. vyd. Praha : Státní nakladatelství technické literatury, 1990. ISBN 80-03-00422-5.
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Birolini, Alessandro. Reliability engineering : theory and practice. 7th ed. Heidelberg : Springer, 2014. ISBN 978-3-642-39534-5.
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Pham, Hoang. Handbook of reliability engineering. London : Springer, 2003. ISBN 1-85233-453-3.
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