Applied Stochastic Processes Credit Hours: 3 hours Stochastic processes including discrete, continuous and conditional probability concepts. Definitions and properties of stochastic processes. Markov processes and chains, basic properties, transition matrices and steady state properties. Reliability renewal and queueing processes, expected waiting times, single and multiserver queues. Offered spring semester every odd-numbered year. Prerequisites: (MATH 2270 or MATH 2500) and (MATH 3300 or MATH 3000) and (STAT 4510/6510 or MATH 4600/6600) Level: Graduate Undergraduate
