Last modified: 16 Nov 2016 17:52
The aim of this course is to understand and be able to carry out probabilistic modelling of uncertainty in engineering components and systems. Students will be able to obtain a good knowledge and understanding on random variables in probabilistic analysis and be able to carry out approximation and numerical schemes on components and systems.
|Session||Second Sub Session||Credit Points||15 credits (7.5 ECTS credits)|
The course focuses on advanced modelling of random variables. All 3 levels of modelling are discussed with
emphasis on FORM and simulations. Extensive tutorials are provided to help students to obtain a good understanding of the subject.
The following modules will be covered in the course:
1. Convolution integral
2. First-order reliability methods (FORM).
3. FORM for non-normal variables.
4. Correlated variables.
5. Monte Carlo simulation techniques.
6. Safety factors in engineering design.
7. Introduction to systems analysis.
This is the total time spent in lectures, tutorials and other class teaching.
A whole-class feedback is provided via MyAberdeen. Students are encouraged to contact the course coordinator for individual feedback.