Introduction to Engineering Stochastic Processes I

4.0 credits · Graduate

Uses basic concepts and techniques of random processes to construct models for a variety of problems of practical interest. Topics include: the Poisson process, Markov chains, renewal theory, models for queuing, and reliability.