Last modified: 28 Jun 2018 10:27
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.
|Session||First Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
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.
This is the total time spent in lectures, tutorials and other class teaching.