Managing Infrastructure and Systems
| Code | School | Level | Credits | Semesters |
| CIVE4096 | Civil Engineering | 4 | 10 | Autumn UK, Spring UK |
- Code
- CIVE4096
- School
- Civil Engineering
- Level
- 4
- Credits
- 10
- Semesters
- Autumn UK, Spring UK
Summary
This course (module) considers some of the most commonly-used system reliability assessment techniques applied to support system management. The course covers the construction of reliability models that use basic component failure information to describe specific system failure modes, the qualitative and quantitative analyses of these models, and the critical evaluation of systems using the analytical results. The models will be discussed in the context of their application to engineering systems and infrastructure assets.
For students requiring reassessment, this will be limited to the components which have been failed and these will be in the same form as the original assessment.
Target Students
Part II BEng/MEng students, Part III MEng students and MSc students in the Department of Civil Engineering.
Assessment
- 100% Exam 1 (2-hour): Written examination
Assessed in both autumn & spring semest
Educational Aims
To: (i) Provide an understanding of the basic statistical, probabilistic and mathematical concepts required to predict the reliability of components and systems; (ii) Provide a detailed knowledge of the most commonly used system reliability assessment techniques; (iii) Encourage the critical evaluation of systems and assets using mathematical models.Learning Outcomes
On successful completion of this course (module), students will be able to:
1. Understand the assumptions and limitations relating to the use of common reliability assessment techniques for the evaluation of system and asset performance
2. Select and apply appropriate reliability assessment techniques in order to qualitatively and quantitatively evaluate the performance of systems and infrastructure assets
3. Use the results of reliability analyses to critically compare the performance of components within engineering systems and the systems themselves.
This will contribute to the following programme learning outcomes (see Programme (Plan) Specifications for details):
- Knowledge and Understanding: M1, M2
- Intellectual Skills: M3, M6
- Professional/Practical Skills: M9