Last modified: 31 May 2022 13:05
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.
Information on contact teaching time is available from the course guide.
Assessment 1: Open Book exam (50%)
Assessment 2: Software based assessment (20%)
Assessment 3: Open Book exam (30%)
Re-sit of only the failed assessment component(s)
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.|