Introduction to Gaussian random variables, conditional expectation and covariance matrices. State estimation and observation of discrete linear systems using Kalman filter. Systems identification of linear dynamic systems, problem formulation, least squares techniques and its application to the transfer function and state space description of linear discrete time systems, recursive least square techniques, maximum likelihood estimator, experimental method. Optimal control of linear quadratic Gaussian regulator problem.