This course is relevant for postgraduate students of Power Engineering and final year undergraduate students of Electrical Engineering. After completion of this course, a student will be aware of the various aspects and tools used in operation and analysis of modern power systems.

Objective: This course will focus on strengthening foundation of probability keeping its application into signal processing and communications in mind. The course is divided into two parts. First part would discuss probability space, random variables and their transformations, conditional distributions and estimation of random variables. Second part will extend the theory to random vectors, random processes including Markov chains and some applications into linear systems.

• This course will discuss statistical signal processing from both theoretical and practical perspectives.
• It will include the basics of Estimation and Detection Theory, Parametric, and Non-parametric spectrum estimation (including ML, MAP, LSE). The course will have a balanced focus on math formulations and practice.