Probabilistic Assessment of Technological Risk
Data is displayed for academic year: 2023./2024.
Lecturers
Course Description
Probabilistic modeling and simulation of technological systems reliability and risk. Methods: failure modes and effects analysis, fault trees, event trees, Markov models and Petri nets. Human factor analysis and modeling. Data, model and results of uncertainty assessment. Link between deterministic and probabilistic analysis. Statistics, data analysis and extreme events. Environmental impact assessment. Safety and risk perception. Basis for risk management.
Study Programmes
Postgraduate doctoral study programme
Literature
Yacov Y. Haimes (2005.), Risk Modeling, Assessment, and Management, John Wiley & Sons
Mohammad Modarres, Mark Kaminskiy, Vasiliy Krivtsov (1999.), Reliability Engineering and Risk Analysis, CRC Press
Boris Gnedenko, Igor A. Ushakov, Igor Ushakov (1995.), Probabilistic Reliability Engineering, John Wiley & Sons
For students
General
ID 154700
Summer semester
6 ECTS
L2 English Level