Engineering

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ECMM136 - Systems Analysis in Engineering (2015)

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MODULE TITLESystems Analysis in Engineering CREDIT VALUE15
MODULE CODEECMM136 MODULE CONVENERDr Halim Alwi (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11
Number of Students Taking Module (anticipated) 19
DESCRIPTION - summary of the module content

This module will give you an understanding of how systems analysis can support the planning, design and management of engineering systems, including water and environmental systems. The module covers a number of systems analysis tools including simulation, optimisation and decision making techniques, and enhances your theoretical and practical knowledge of their application to real world problems.

AIMS - intentions of the module

This module aims to give you a basic knowledge of computer simulation, optimisation and decision making techniques for a potential future career as a practising engineer involved in the management of engineering systems. It also equips you with practical experience in the 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
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module, you should be able to:

 

Module Specific Skills and Knowledge
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.
Discipline Specific Skills and Knowledge:
5 identify, formulate, analyse and solve problems in engineering;
6 show practical experience of using modelling, simulation, optimisation and decision making techniques and tools.
Personal and Key Transferable / Employment Skills and Knowledge:
7 prove you have the necessary skills for independent learning;
8. demonstrate improved IT skills.

 

SYLLABUS PLAN - summary of the structure and academic content of the module

- introduction to systems analysis;

- computer simulation: model development and assessment;

- sensitivity and uncertainty analysis;

- optimisation techniques;

- system control;

- multi-criteria decision making;

- computer programming with MATLAB: programming environment, coding, and toolboxes.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 22.00 Guided Independent Study 128.00 Placement / Study Abroad 0.00
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.

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Question asked in lectures N/A All Answers provided on the spot
       
       
       
       

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 30 Written Exams 70 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) 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 Time Scale for Re-reassessment
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 50% 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.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

ELE: http://vle.exeter.ac.uk

·MATLAB - The Language of Technical Computing:  http://www.mathworks.co.uk/help/techdoc/

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Agoston E Eiben, James E Smith Introduction to Evolutionary Computing 1st Edition Springer 2003 3-540-40184-9 [Library]
Set Roger McHaney Understanding Computer Simulation 1st Edition Bookboon 978-87-7681-505-9 [Library]
Set Slobodan P. Simonovic Managing Water Resources: Methods and Tools for a Systems Approach 1st Routledge 2008 13: 978-184407553 [Library]
Set Richard De Neufville Applied Systems Analysis McGraw Hill Inc, US 1990 13: 978-007016372 [Library]
Set Andrea Saltelli, Karen Chan and E Marian Scott Sensitivity Analysis 1st Wiley Blackwell 2008 13: 978-047074382 [Library]
CREDIT VALUE 15 ECTS VALUE 7.5
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) 7 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Friday 09 January 2015 LAST REVISION DATE Wednesday 25 November 2015
KEY WORDS SEARCH Systems analysis; computer simulation; optimisation; genetic algorithm; genetic programming; neural network; MATLAB.