Applied probability models
BS BN BT DT BC BP BDT
Associate Professor Philip Rayment
3 points * First semester * 3 hours per week * Gippsland/Distance (odd-numbered years only) * Prerequisites: GAS1631 (and GAS1611 is desirable)
This subject is designed to develop the ability to build models with probability distributions (specifically queuing models) and to build a basis for design and control of queues. Topics covered include an introduction to probability distributions; Markov chains; single and multiple server models under infinite and finite population, infinite and finite capacity requirements; advanced Markovian queuing models - bulk input, bulk service, Erlangian models, network, series and cyclic queues; introduction to models with general service patterns; applications to renewal, maintenance and replacement policies. For internal students the program will usually involve two hours of lectures and a one-hour workshop per week. The workshop will involve case studies, problem solving and group work. For distance education students detailed study guides will be issued.
Assessment
Two assignments: 50% * Examination: 50%
Recommended texts
To be advised