The largest part is learning how to use Stochastic Simulation for risk analysis and predictions. The risk methods like Fault Tree, Failure Mode Effect Analysis are taught as well as Two-level multi-factor Design of Experiments using statistical methods and an orthogonal matrix.
A vital part of the content is the translation of collected data into the possible statistical distribution to be used in the stochastic simulation.