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Subject offerings of new and developing areas of knowledge in industrial engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: Approved for letter and S/U grading. May be repeated in the same or separate terms if topics vary.

Prerequisite: IE 410 or an equivalent course on stochastic processes. This course is an introduction to queueing systems and their applications in engineering. Topics include both classical single-stage models and queueing networks. An emphasis will be placed on key methods, such as: imbedded Markov chains, PASTA property, reversibility, product-form stationary distributions, stochastic stability, asymptotic analysis.