Last modified: 31 May 2022 13:05
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.
Timed online test (50%)
Timed online test (30%)
Lab report (20%)
There are no assessments for this course.
|Knowledge Level||Thinking Skill||Outcome|
|Factual||Remember||ILO’s for this course are available in the course guide.|