Last modified: 05 Aug 2021 13:04
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.
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.|