13108 (v.2) Stochastic Processes 403

Area:	Department of Mathematics and Statistics
Credits:	25.0
Contact Hours:	3.0

The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline.

Lecture:	3 x 1 Hours Weekly
Prerequisite(s):	12832 (v.2) Probability Theory and Random Processes 303 or any previous version

Syllabus:	Review of probability tools, introduction to stochastic processes, Poisson process, Markov chains, random walk, limit theorems, birth and death process, branching processes, renewal processes, Brownian motion and queuing theory.

To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement.

Field of Education:	010101 Mathematics
Funding Cluster:	04 - Mathematics, Statistics
SOLT (Online) Definitions*:	Not Online *Extent to which this unit or thesis utilises online information
Result Type:	Grade/Mark
Availability
Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information.

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