Prerequisite: OR 542 or STAT 544, or permission of instructor.
Course Description: Selected
applied probability models, including Poisson processes,
discrete- and continuous-time Markov chains, renewal and
regenerative processes, semi-Markov processes, queuing
and inventory systems, reliability theory, and stochastic
networks. Emphasis on applications in practice, as well as
analytical models.