Probabilistic Assessment of Technological Risk

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


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


ID 154700
  Summer semester
L2 English Level