This course provides an introduction to the probability models used by actuaries for both liabilities and assets. Topics covered include the terminology of stochastic processes; main features of a Markov chain and application to experience rating; Markov process models and application to survival, sickness and marriage models; simple time series models including random walk and auto-regressive models and their application to investment variables; properties of Brownian motion and applications to investment variables; methods for simulation. Students will be required to implement models using spreadsheets and programs in a numerical computer package.