This subject concentrates on problems where the probable or stochastic element is of paramount importance. Apart from determining what can be said under such conditions, the question of how this information can be used in problem solving is investigated. Empirical verification via computer simulation is used as part of the learning strategy.
No offerings have been identified for this subject in 2019.
HD/FL
One session
School of Science and Technology
Introduction to stochastic models; Generating functions; Random walks; Markov chains; Branching processes; Exponential distribution and poisson process; Birth and death processes; Queuing processes.
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The information contained in the CSU Handbook was accurate at the date of publication: May 2019. The University reserves the right to vary the information at any time without notice.