Systems Analysis (ECMM136)
DEVELOPER NOTES
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Module status - Active
Module description status - Inactive
Credits - 15
College code - EMP
Academic year - 2014/5
Module staff
- Dr Guangtao Fu (G.Fu@exeter.ac.uk) - Convenor
Duration (weeks) - term 2
11
Number students taking module (anticipated)
10
Module description
This module will provide you with an understanding of how systems analysis can support planning, design, management of engineering systems including water and environmental systems. The module covers a number of systems analysis tools including simulation, optimization and decision making techniques, and their theoretical and practical knowledge on application to real world problems.
Module aims
This module aims to provide a basic knowledge of computer simulation, optimization and decision making techniques for modern practising engineers in management of engineering systems. It also provides practical experience on development and use of such techniques to solve engineering problems.
This module covers Specific Learning Outcomes in Engineering, which apply to accredited programmes at Bachelors/MEng/Masters level. These contribute to the educational requirements for CEng registration (as defined under the UK Standard for Professional Engineering Competence – UK-SPEC).
This module correlates to references E2 - E4, MU1 - MU4, ME2, ME3, MP1 and GM4. These references are indices of the specific learning outcomes expected of Bachelors/MEng/Masters candidates set out in UK-SPEC, codified with reference to systems used by professional accrediting institutions. A full list of the standards can be found on the Engineering Council's website, at http://www.engc.org.uk
ILO: Module-specific skills
- 1. understand how systems analysis is used to support engineering systems management;
- 2. comprehend model development and assessment methods;
- 3. appreciate modern techniques and tools such as genetic algorithms, genetic programming, neural networks;
- 4. make appropriate and critical use of these tools to analyse and solve problems associated with engineering systems including water and environmental systems.
ILO: Discipline-specific skills
- 5. identify, formulate, analyse and solve problems in engineering;
- 6. show practical experience of using modelling, simulation, optimisation and decision making techniques and tools.
ILO: Personal and key skills
- 7. prove you have the necessary skills for independent learning;
- 8. demonstrate improved IT skills.
Syllabus plan
Introduction to systems analysis; computer simulation: model development and assessment; sensitivity and uncertainty analysis; multi-objective optimisation: Pareto optimal and non-dominated sorting; genetic algorithms: principles and applications; genetic programming; artificial neural networks; multi-criteria decision making; computer programming with MATLAB: programming environment, coding, and toolboxes.
Learning activities and teaching methods (given in hours of study time)
| Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
|---|---|---|
| 22 | 128 | 0 |
Details of learning activities and teaching methods
| Category | Hours of study time | Description |
|---|---|---|
| Scheduled learning and teaching activities | 11 | Lectures |
| Scheduled learning and teaching activities | 11 | Tutorials on computer programming with MATLAB |
| Guided independent study | 128 | Private study including wider reading, lecture preparation, and assessment practice. |
Formative assessment
| Form of assessment | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|
| Question asked in lectures | N/A | All | Answers provided on the spot |
Summative assessment (% of credit)
| Coursework | Written exams | Practical exams |
|---|---|---|
| 30 | 70 | 0 |
Details of summative assessment
| Form of assessment | % of credit | Size of the assessment (eg length / duration) | ILOs assessed | Feedback method |
|---|---|---|---|---|
| Written Examination | 70 | 2 hour, closed note/book | 1-5 | Exam Mark |
| Coursework assignment 1: solve problems with MATLAB | 15 | 2-15 hours, problem solutions and codes | 2-8 | comments directly on report and on individual feedback sheet |
| Coursework assignment 2: solve problems with MATLAB | 15 | 2-15 hours, problem solutions and codes | 2-8 | comments directly on report and on individual feedback sheet |
Details of re-assessment (where required by referral or deferral)
| Original form of assessment | Form of re-assessment | ILOs re-assessed | Timescale for re-assessment |
|---|---|---|---|
| As Above | Examination (100%) | All | August Ref/Def period |
Re-assessment notes
If a module is normally assessed entirely by coursework, all referred/deferred assessments will normally be by assignment.
If a module is normally assessed by examination or examination plus coursework, referred and deferred assessment will normally be by examination. For referrals, only the examination will count, a mark of 40% being awarded if the examination is passed. For deferrals, candidates will be awarded the higher of the deferred examination mark or the deferred examination mark combined with the original coursework mark.
Indicative learning resources - Basic reading
Basic reading:
ELE: http://vle.exeter.ac.uk
Web based and Electronic Resources:
·MATLAB - The Language of Technical Computing: http://www.mathworks.co.uk/help/techdoc/
Other Resources:
- ,Introduction to Evolutionary Computing,Agoston E Eiben, James E Smith,1st Edition,Springer,2003,,3-540-40184-9,
- ,Understanding Computer Simulation,Roger McHaney,1st Edition,Bookboon,,,978-87-7681-505-9,
Module has an active ELE page?
Yes
Module ECTS
7.5
NQF level (module)
5
Available as distance learning?
No
Origin date
18/05/2012
Last revision date
27/03/2013