The course introduces computational methods for the analysis and simulation of stochastic models in various scientific fields, including physics, ecology, epidemiology, social sciences, and economics. Both general methods (e.g. Monte Carlo, stochastic dynamics) and specific applications (e.g. growth models, molecular simulations, stochastic optimization) will be covered.