3 Credits (3 Contact Hours)Introductory treatment of stochastic processes, finite-state Markov chains, queueing, dynamic programming, Markov decision processes, reliability, decision analysis, and simulation. Both theory and applications are stressed. Students are expected to have completed a Theory of Probability course before enrolling in this course.
