P: EE 444 or EE 483 or graduate standing. Engineering applications of
probability theory. Problems of events, independence, random variables,
distribution and density functions, expectations, and characteristic
functions. Dependence, correlation, and regression; multivariate Gaussian
distribution. Stochastic processes, stationarity, ergodicity, correlation
functions, spectral densities, random inputs to linear systems, Gaussian
processes.