Automation and Control I

This course covers Mathematics and Control Systems, providing a strong foundation for engineering problem-solving and automation.
Mathematics Section: Focuses on linear algebra, advanced matrix algebra, vector calculus, eigenvalues, and eigenvectors, essential for analyzing control and automation problems.
Control Systems Section: Covers feedback analysis, stability assessment, PID control, system reliability, and state-space analysis, including transfer functions, time-invariant state equations, controllability, and observability.
By combining mathematical precision with control theory, this course develops analytical and problem-solving skills, preparing students to design and optimize control systems in engineering applications.