The course topics comprise- (a very brief review) of probability theory- discrete and continuous random processes and fields- estimation of statistical parameters- stochastic simulation techniques (Monte Carlo Simulation)- reliability-based design- sensitivity analysis- structural reliability (FORM, FOSM, Subset Simulation, …)- Risk assessment and stochastic modelling in practiceThe project (extra 3 credits) involves own programming of stochastic simulation algorithms, e.g. generators of random fields, methods to assess structural reliability, and combination of stochastic simulation techniques with engineering models.