Last modified: 25 Mar 2016 11:38
The aim of this course is to get an understanding of applied probability and statistics. Students will be able to handle variables of a random nature, deal with parameters of different distributions and data of scattering nature.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | None. | Sustained Study | No |
| Co-ordinators |
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This course provides mathematical foundation of the probabilistic analysis of random variables. The course is an extension to the undergraduate level of the subject. This course is a pre-requisite for the module on Advanced Methods for Risk and Reliability Assessment.
The following modules will be covered in the course:
1. Revision of elementary concepts in statistics and probability.
2. Important uni-variate distributions.
3. The bi-variate and multi-variate normal distribution.
4. Parameter estimation and goodness-of-fit.
5. Analysis of statistical data.
6. Treatment of outliers.
7. Analysis of variance.
8. Introduction to continuous and discrete stochastic processes.
Information on contact teaching time is available from the course guide.
1st attempt: 3 hour exam (80%); continuous assessment (20%).
Resit: The re-sit will comprise of re-doing the failed
element/s (exam and/or coursework assessment/s) from the 1st attempt
with a maximum CGS mark of D3. The marks for other elements (successfully
passed) will be carried over. Resit mark of either RP or RF will be recorded.
There are no assessments for this course.
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