Module Title:   Reliability Modelling and Analysis

Module Credit:   20

Module Code:   CM-1068D

Academic Year:   2015/6

Teaching Period:   Semester 2

Module Occurrence:   A

Module Level:   FHEQ Level 7

Module Type:   Standard module

Provider:   Computer Science

Related Department/Subject Area:   SCIM (Dept of Computer Science)

Principal Co-ordinator:   Dr A Csenki

Additional Tutor(s):   Prof D Kouvatsos

Prerequisite(s):   None

Corequisite(s):   None

Aims:
Explore advanced probabalistic concepts/theorems, define important reliability measures & introduce related computational algorithms & software tools for the reliability analysis of models of computer architectures, software systems & communication networks & develop related algorithms & software tools.

Learning Teaching & Assessment Strategy:
The delivery of the module will consist of lectures in which concepts, principles and theories are explored and tutorials in which they are practised and is assessed by coursework using an appropriate modelling language and examination. The supplementary examination tests all the learning outcomes.

Lectures:   24.00          Directed Study:   157.00           
Seminars/Tutorials:   16.00          Other:   0.00           
Laboratory/Practical:   0.00          Formal Exams:   3.00          Total:   200.00

On successful completion of this module you will be able to...

demonstrate a critical understanding of the importance of probabilistic concepts for the definition of adequate reliability measures for systems and networks of failure prone units.

On successful completion of this module you will be able to...

model and evaluate system/network reliability and predict the possible states of systems and networks subject to failure. Determine the impact of failures on reliability measures and network resilience.

On successful completion of this module you will be able to...

perform certain reliability related analysis in a variety of contexts in which product reliability is of concern. Furthermore, the module is a good preparation for commencing research work as MPhil/PhD students in the field of reliability.

  Coursework   20%
 
  Coursework:Reliability models & Algorithms. Using a symbolic and/or a numerical programming language.
  Examination - closed book 3.00 80%
 
  Examination
  Examination - closed book 3.00 100%
 
  Supplementary examination

Outline Syllabus:
Reliability Concepts: Lifetime Random Variables, Reliability Measure, Product Law of Reliabilities, Redundancy, Failure Density, Mean Time to Failure, Truncated Life (Replacement/Non-Replacement) Tests, Hazard Function, Conditional Reliability and Stand-by Redundancy with Applications to Series-Parallel Systems, m-Out-of-n Systems, Parallel Redundant Systems, Detector-Redundant Systems, Diode Configurations, Software, Stand-by-Redundant Systems. Markov modelling. Network Reliability: Measures, Modelling, Analysis & Performance Indices.

Key Texts:

Lewis, E. E., Introduction to Reliability Engineering, Wiley, 1987.
Ramakumar, R., Engineering Reliability - Fundamentals and Applications, Prentice-Hall, 1993.

Version No:  3