The aim of this course is to teach students the ability to model, simulate and analyse complex systems in a reasonable time.

Random number generation and random distributions, Monte Carlo simulations, Markov chain theory, Monte Carlo Markov chain method, bootstrap and Jackknife methods, the Gibbs and Metropolis algorithms, simulation of medical data and application.