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. | |
Curtin University of Technology
To report errors on this website please use: Contact Us
Copyright and Disclaimer
Content Last Modified: October 31, 2005
Curtin University of Technology, Perth CRICOS Provider Code 00301J
The Sydney Campus of Curtin University of Technology CRICOS Provider Code 02637B