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 Dr E Patelli
Civil Engineering and Industrial Design
Edoardo.Patelli@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2018-19 Level 7 FHEQ Second Semester 15

Aims
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.

Learning Outcomes

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 perform ance 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.



Syllabus
1 

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.

Teaching and Learning Strategies

Lecture - Classes

Will be provided in lectures

Tutorial - Computational course delivered by UoL staff at the Hartree Centre. The course will provide the opportunity of solving of tasks and problems and numerical simulations.

Tutorial and Seminars

Seminar - Research-led seminar


Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 20
Classes
4
Research-led seminar
16
Computational course delivered by UoL staff at the Hartree Centre. The course will provide the opportunity of solving of tasks and problems and numerical simulations.
      40
Timetable (if known) Will be provided in lectures
  		  Tutorial and Seminars
  		       
Private Study 110
TOTAL HOURS 150

Assessment
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
Coursework  3-4 hours   Semester 2, week 12  40  Yes  Standard UoL penalty applies  Project Presentation  
Coursework  10 pages plus comput  Semester 2, week 12  60  Yes  Standard UoL penalty applies  Project report Notes (applying to all assessments) Oral Presentation The Oral Presentation will be individual and in front of the whole class for 15 minutes (10 minutes presentation plus Q&A). This work is not anonymously marked. Group Report The report (maximum 10 pages) will contain an analysis of a complex critical system. Additionally, it should contain the code use for computations. This work is not anonymously marked. This assignment will typically require 30 hours of student effort.  

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
Explanation of Reading List: