Probability Foundation for Electrical Engineers
Probability Foundation for Electrical Engineers. Instructor: Prof. Krishna Jagannathan, Department of Electrical Engineering, IIT Madras. This is a graduate level class on probability theory, geared towards students who are interested in a rigorous development of the subject. It is likely to be useful for students specializing in communications, networks, signal processing, stochastic control, machine learning, and related areas. In general, the course is not so much about computing probabilities, expectations, densities etc. Instead, we will focus on the 'nuts and bolts' of probability theory, and aim to develop a more intricate understanding of the subject. For example, emphasis will be placed on deriving and proving fundamental results, starting from the basic axioms. (from nptel.ac.in)
|Probability Foundation for Electrical Engineers
Instructor: Prof. Krishna Jagannathan, Department of Electrical Engineering, IIT Madras. This is a graduate level class on probability theory.
|Probability Foundation for Electrical Engineers (Lecture Notes)
Module 0: Preliminaries. Module 1: Probability Measures. Module 2: Random Variables. Module 3: Integration and Expectation. Module 4: Transforms. Module 5: Limit Theorems.