Risk Analysis

This course contains chosen topis in Risk Analysis:

Introduction - motivation and definitions

Probability - basic concepts in probability

Multivariate, Copula - modeling joint distributions

Homogeneous and Non-Homogeneous Poisson processes

Bayesian and classical estimation

Software reliability - application of techniques discussed to software reliability

Fault trees - model often used in risk analysis of engineering structures

Bayesian belief nets - more flexible model than FT model allowing dependence between variables with more than two states

Dependent failures

Expert Judgment