Module Details |
| The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
| Title | ANALYSIS OF SAFETY CRITICAL SYSTEMS AND COMPUTATIONAL INFERENCE | ||
| Code | ENGG406 | ||
| Coordinator |
Prof SD Ferson Civil Engineering and Industrial Design Scott.Ferson@liverpool.ac.uk |
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| Year | CATS Level | Semester | CATS Value |
| Session 2019-20 | Level 7 FHEQ | Second Semester | 15 |
Aims |
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The module focuses on the analysis and design issues of safety-critical systems. The student will learn the tools and methodologies needed to analyse such systems and to estimate their availability and reliability. The student will understand the theoretical foundations of Monte Carlo Simulation, rare-event simulation, computation of the probability of failure. The student will learn relevant software tools in order to implement the above algorithms. |
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Learning Outcomes |
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(LO1) At the end of this module students should have: Knowledge and understanding of scientific principles and methodology necessary to underpin a systematic analysis of safety engineering;Appreciation of statistical modelling and statistical inference methods in which Bayes' rule is used to update the probability for a hypothesis as evidence is acquired. Computational Bayesian inference. The ability to apply quantitative methods and computer software to solve engineering problems and demonstrate skill in applying various hazard analysis techniques, including FMECA, Fault Trees, HAZOP including both quantitative and qualitative approaches; The ability to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques and have an appreciation of the difference between random and systematic faults. |
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(S1) Teamwork |
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(S2) Numeracy |
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(S3) Communication skills |
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Syllabus |
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Safety standards relevant to the design of complex systems. Hazard identification and analysis techniques such as FMEA, HAZOP, fault trees, etc., including the use of appropriate software tools. Qualitative and quantitative approaches. The assessment of risk and establishing safety criteria. The interplay between safety, reliability and quality. Computational inference, advanced Monte Carlo and Baysian Analysis. |
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Teaching and Learning Strategies |
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Teaching Method 1 - Lecture Teaching Method 2 - Tutorial Teaching Method 3 - Seminar |
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Teaching Schedule |
| Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
| Study Hours |
20 |
4 |
16 |
40 | |||
| Timetable (if known) | |||||||
| Private Study | 110 | ||||||
| TOTAL HOURS | 150 | ||||||
Assessment |
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| EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
| CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
| Project Presentation There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 2, week 12 | 3-4 hours | 40 | ||||
| Project report There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 2, week 12 | 10 pages plus comput | 60 | ||||
Recommended Texts |
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| Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. | |