This course of Automatic Control System Technology provides an in-depth understanding of automatic control systems, covering fundamental concepts, mathematical modeling, and system analysis techniques. The course begins by describing control systems, describing Laplace transform fundamentals, determining inverse transform using both Laplace transform table and partial fraction expansion, and their application in solving linear differential equations. The course continues with modeling electrical and mechanical systems which includes passive electrical elements(R, L and C), translational systems (mass, spring, damper), and rotational systems (moment of inertia, torsional spring, damping torque). The determination of transfer functions for linear time-invariant (LTI) systems will be explored, along with block diagram modeling and signal flow graph techniques, including Mason’s gain formula. Further topics include first and second-order system time response analysis, control system stability analysis using mathematical (position of poles in s-plan) and algebraic (Ruth Hurwitz) methods, and state-space model development.