| 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. |
