Introduction to probability and random processes. Topics include probability axioms, sigma algebras, random vectors, expectation, probability distributions and densities, Poisson and Wiener processes, stationary processes, autocorrelation, spectral density, effects of fi ltering, linear least-squares estimation, and convergence of random sequences. A student may receive credit for only one: EECS 401 and EECS 501.