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Graduate Record 2006-2007 [ARCHIVED RECORD]
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SYS 605 - Stochastic Systems
Covers basic stochastic processes with emphasis on model building and probabilistic reasoning. The approach is non-measure theoretic but otherwise rigorous. Topics include a review of elementary probability theory with particular attention to conditional expectations; Markov chains; optimal stopping; renewal theory and the Poisson process; martingales. Applications are considered in reliability theory, inventory theory, and queuing systems. (Y)
Prerequisites & Notes
Prerequisite: APMA 310, 312, or equivalent background in applied probability and statistics.
Credits: 3
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