Brownian motion (Wiener process);Definition and properties; construction of the stochastic integral and properties; Ito isometry and Ito formula;
Markov chains in discrete time; definition and fundamental formulas; application of the Markov property; classification of states;
introduction to time series analysis: stationary processes (in discrete time), auto covariance function, ARMA processes, estimation and forecasting.