Course detail
System Concept/Approach to Risk Engineering
ÚSI-RSSYPAcad. year: 2023/2024
The course content focuses on the following areas: technical aspects of risks in systems, buildings and other structures, their evaluation and risk analysis. Risk and defectology terms. Randomness in risk science. Basic risk analysis tools and decision-making processes. Expression of the reliability of technical systems, buildings and structures. Design on the basis of probabilistic approaches and methods involving subcoefficients of reliability. Calculation of the probability of system and structural failure. Data collection and prediction with a focus on risk engineering issues. The results of the studies will manifest themselves in the analyses and modelling of issues from the risk management area and in the ability to formulate the critical points (identification of hazardous locations) of a project or existing structure. Computer technology will be used in the applications.
Language of instruction
Number of ECTS credits
Mode of study
Department
Entry knowledge
Rules for evaluation and completion of the course
Not specified.
Aims
After completing the subject, students will be able to understand and independently perform the basic risk analysis of technical systems, buildings and structures.
Study aids
Prerequisites and corequisites
Basic literature
HAIMES, Y. Y.: Risk modeling, assessment and management. John Wiley and sons, 2004, ISBN 0-471=48048 (EN)
TICHÝ, M.: Ovládání rizika, Ch. Beck, Praha 2006, ISBN 80-7179-415-5 (CS)
Recommended reading
PMBOK Guide. Project management Institute, 2004, 3rd edition (EN)
PROSKE, D.: Catalogue of Risks, Springer 2008, ISBN 978-3-540-79554-4 (EN)
RAIS, K., SMEJKAL,V.: Řízení rizik, Grada, 2004, ISBN 80-247-0198-7 (CS)
TIJMS, H. C.: A first course in Stochastic Models. John Wiley and sons, 2003, ISBN 0-471-49881-5 (EN)
Elearning
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Risk analysis - art and science, risk assessment
3. Basic terms from the area of analysis and modelling
4. Randomness and reliability engineering
5. Modelling of decision-making processes, stochastic and deterministic models, criteria weighting
6. Reliability of structures and systems, creation of models
7. Creation of models, linear modelling, composition of a model, solution methods
8. Technical risk analysis - identification of dangerous phenomena (segments and sources)
9. Risk quantification, tools for risk quantification (specialised methods, the Monte Carlo method)
10. Risk quantification tools, comparative and analytical methods (FMEA, UMRA)
11. Risk quantification tools, analytical methods - continued (tree diagrams)
12. Risk quantification tools, analytical methods - continued (e.g. HAZOP and others)
13. The use of genetic algorithms and artificial neural networks, the definition of uncertainties and sensitivity analysis
Elearning