Volgenau School of Engineering
George Mason University
George Mason University Mason
George Mason University

OR 645: Stochastic Processes

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Section Information

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.

Course Information from University Catalog

Not Repeatable


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.

Hours of Lecture or Seminar per week: 3

Equivalent to STAT 645 (2014-2015 Catalog).

Credits: 3

Prerequisites:

OR 542 or STAT 544, or permission of instructor.

Instructor Information