Course Description
This is a graduate-level course that teaches basics of random process theory with applications to communication theory and systems. Important topics include analysis of common random processes (e.g. Poisson process, White Noise, Wiener Process, etc.), random sequences, random processes in linear systems, Markov chains, mean-square calculus.
The textbook used for the course is, "Probability, Statistics, and Random Processes for Engineers+, 4th Edition, by H. Stark and J. W. Woods.
The comprehensive set of videos listed below now cover all the topics in the course; 116 videos with nearly 21 hours of content.
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