35363 Stochastic Models
6cp; 4hpwRequisite(s): 35151 Introduction to Statistics
These requisites may not apply to students in certain courses. See access conditions.
Stochastic models allow many situations involving uncertainty to be analysed. This subject provides students with the knowledge required to use such models successfully in practice. Students acquire experience in using state-of-the-art commercial software for simulation, Markov decision process methods and various queuing models. Topics covered include Markov chains, Poisson processes, the birth-and-death process, and non-birth-and-death queuing models. The simulation component of the subject includes: pseudorandom number generation and corresponding statistical tests; evaluation of integrals using Monte Carlo simulation; generation of continuous and discrete random variables, including inverse transform technique, convolution method, and acceptance-rejection technique.
Typical availability
Autumn semester, City campus
Fee information
2009 contribution for post-2008 Commonwealth-supported students: $520.25
Note: Students who commenced prior to 1 January 2008 should consult the Student contribution charges for Commonwealth supported students
Not all students are eligible for Commonwealth Supported places.
2009 amount for undergraduate domestic fee-paying students: $2,587.50
Note: Fees for Postgraduate domestic fee-paying students and international students are charged according to the course they are enrolled in. Students should refer to the Annual Fees Schedule.
Subject EFTSL: 0.125Access conditions
Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at Access conditions and My Student Admin.