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3S1: Random Processes and Their Applications ( STAT3361)
Semester: 1 Campus: CRAWLEY
Semester: 1 Campus: CRAWLEY
| Availability: Semester 1 (See Timetable) | |||
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Description This unit presents basic ideas in the theory of random processes in discrete and continuous time, developed in parallel with a wide range of applications and examples. The core material is the theory of Markov Chains in discrete and continuous time. Further material may include Poisson processes, birth-death processes, renewal process, stochastic simulation and Markov Chain Monte Carlo methods. Applications are drawn from bioinformatics, computer science, epidemiology, finance, genetics, image processing, operations research (inventory, reliability and queuing models) and spatial data. For more info see the Handbook: http://handbooks.uwa.edu.au/units/stat/stat3361 | |||
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Assessment This comprises an end-of-semester examination and in-semester tests or assignments. All assessment tasks require students to apply their knowledge of the unit content to solve previously unseen problems. Credit is given for clarity and correctness of presentation as well as for actual results.Supplementary assessment is not available in this unit except in the case of a bachelor's degree student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete the course. |
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Second Short test, Thursday 5th June