Part a: Linear state space systems, including concepts of controllability/reachability and observability. State feedback and optimal control. Frequency domain tools (Bode plots, Nyquist analysis, input/output performance). Part b: Optimization-based design of control systems, including optimal control and receding horizon control. Introductory random processes and optimal estimation. Kalman filtering and nonlinear filtering methods for autonomous systems.