313671 (v.1) Modelling of Random Systems 210
Note
Tutition Patterns
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.
Unit references, texts and outcomes
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.
| Area: | Department of Electrical and Computer Engineering |
|---|---|
| Credits: | 25.0 |
| Contact Hours: | 5.0 |
| Lecture: | 1 x 2 Hours Weekly |
| Tutorial: | 1 x 1 Hours Weekly |
| Laboratory: | 1 x 2 Hours Weekly |
| Prerequisite(s): |
307535 (v.3)
Engineering Mathematics 110
or any previous version
OR 307536 (v.4) Engineering Mathematics 120 or any previous version AND 307537 (v.3) Engineering Mathematics 130 or any previous version OR 307538 (v.3) Engineering Mathematics 140 or any previous version |
| Syllabus: | Sample space, events and the definition of probability. Joint and confidential probabilities, Bayes theorem, independent events and Bernoulli trials. Random variables cumulative distribution functions, probability density functions and expectations. Multiple random variables; functions of random variables. Engineering applications of random systems. |
| Field of Education: | 031301 Electrical Engineering |
| SOLT (Online) Definitions*: | Supplemental *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.
