The Introduction to Control Systems self-paced course provides a foundational understanding of the principles and techniques used in the analysis and design of control systems. Aimed at engineering students, automation enthusiasts, and early-career professionals, this course explores the core concepts behind how dynamic systems are modeled, controlled, and stabilized. Topics include system representation through differential equations and transfer functions, time and frequency domain analysis, stability criteria, feedback mechanisms, and the design of controllers such as PID (Proportional-Integral-Derivative) controllers. Learners will also gain practical insights into real-world applications of control systems in industries like robotics, automotive, aerospace, and manufacturing. With a mix of theoretical explanations, problem-solving sessions, and simulation exercises using tools like MATLAB or Simulink, this course equips participants with the analytical and practical skills required to approach control system challenges with confidence.