The identification of linear dynamic systems. Problem formulation. Review of classical techniques and their limitations. Least squares techniques and their variations as applied to the transfer function and state space description of linear discrete time systems. Recursive techniques and Kalman filters. The maximum likelihood estimators. Mode and structure identification. Diagnostic methods. State estimation and observers. The self tuning regulator.