Data and Their Processing for Engineering Fields Needs
Code | Completion | Credits | Range | Language |
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23Y1DZ | KZ | 2 | 2P+0C | Czech |
- Course guarantor:
- Lecturer:
- Tutor:
- Synopsis:
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Courses of risk, basic terms, data collection, data sets, data random uncertainty and data epistemic uncertainty, data processing, hazard, risk, value scales, analytical, empirical and heuristic methods, hazard determination and risk determination, methods for variants´ creation, decision support systems.
- Requirements:
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knowledge of basic analytical methods for data processing; probability theory; mathematical statistics; use of logic thinking
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
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To teach: basic methods of data collection. Set up data set for a given target. Ways of verification of data set representativeness. Selection principles of methods for data processing so results may be correct and validate (certain evident value). Selected methods of risk engineering and ways of their application at solution of tasks of practice.
- Study materials:
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D. Procházková: Metody, nástroje a techniky pro rizikové inženýrství. ČVUT, Praha 2011, ISBN: 978-80-01-04842-9
Rizika spojená s pohromami a inženýrské postupy pro jejich zvládání. ISBN 978-80-01-05479-6. ČVUT, Praha 2014
D. Prochazkova, K. Demjancukova: Earthquakes, Hazards and Principles for Trade-off with Risks. ISBN: 978-80-261-0170-3. 2012
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: