MATH 4410 - Introduction to Stochastic Models

3 Credits (3 Contact Hours)

Introductory treatment of stochastic processes, finite-state Markov chains, queueing, dynamic programming, Markov decision processes, reliability, decision analysis, and simulation. Both theory and applications are stressed. Includes Honors sections. Preq: MATH 4000.

This 4000-level course has a 6000-level counterpart. Students should refer to the Graduate Announcements for the 6000-level description and requirements.

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