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 2018.
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.
For any enquiries about subject selection or course structure please contact Student Central or ask@csu.edu.au or phone on 1800 275 278.
For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 275 278 (free call within Australia) or enquire online.
The information contained in the 2018 CSU Handbook was accurate at the date of publication: August 2018. The University reserves the right to vary the information at any time without notice.