This course will introduce the students to the most important concepts and methods in modern control and estimation theory. Topics include state-space modeling of linear dynamical systems, least squares and its applications in system identification, stability, controllability, observability, state-feedback and output-feedback controller design, Linear Quadratic Regulator (LQR), and Kalman filtering.