Prerequisites: graduate standing or consent of instructor
Description: A study of probability and stochastic processes. Topics include discrete and continuous random variables; probability densities; characteristic functions; convergence of random sequences; central limit theorem; autocorrelation functions and spectral densities; wide-sense and strict-sense stationarity; Markov chains and processes; and response of linear time-invariant systems to random signals.