EECS 422: Random Processes in Communications and Control I
Winter 2018


Lecture 1Introduction, Probability spaces, Sigma Algebras, Properties of probability measures, Sect. 1.1-1.2
Lecture 2 Conditional probability, Statistical independence, conditional independence, Repeated trials, random variables, CDFs, PMFs, PDFs, mixed and singular random variables. Sect. 1.3.1-1.3.3
Lecture 3 Multiple random variables, joint distributions, stochastic processes, the Bernoulli process.Sect. 1.3.4 -1.4

A list of lecture topics from 2017 can be found here.