Jan 19, 2020  
Graduate Record 2007-2008 
    
Graduate Record 2007-2008 [ARCHIVED RECORD]

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