Engineering

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ECMM136 - Systems Analysis in Engineering (2019)

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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 0 11 weeks 0
Number of Students Taking Module (anticipated) 0
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.

 

 

 
 
 
 
INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

This is a constituent module of one or more degree programmes which are accredited by a professional engineering institution under licence from the Engineering Council.

The learning outcomes for this module have been mapped to the output standards required for an accredited programme, as listed in the current version of the Engineering Council’s ‘Accreditation of Higher Education Programmes’ document (AHEP-V3).

 

This module contributes to learning outcomes: SM1m, SM1fl, SM6m, SM3fl, D3m, D1fl, EA3m, EA1fl, EA6m, EA3fl, EP1m, G1m, G1fl, G3m, G3fl

 

A full list of the referenced outcomes is provided online: http://intranet.exeter.ac.uk/emps/subjects/engineering/accreditation/

 

The AHEP document can be viewed in full on the Engineering Council’s website, at http://www.engc.org.uk/

 

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



Module Specific Skills and Knowledge: SM1m, SM1fl, SM6m, SM3fl, EA3m, EA1fl, EP1m

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: EA6m, EA3fl, D3m, D1fl, EP1m

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: G1m, G1fl, G3m, G3fl

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 (closed note/book) 70 2 hour - summer Exam 1-5 Exam Mark
Systems Analysis using MATLAB 30 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:

Roger McHaney. Understanding Computer Simulation, 1st Edition, Bookboon. ISBN: 978-87-7681-505-9

Agoston E Eiben, James E Smith. Introduction to Evolutionary Computing, 1st Edition Springer 2003. ISBN: 3-540-40184-9

Andrea Saltelli, Karen Chan and E Marian Scott. Sensitivity Analysis, 1st Edition Wiley Blackwell 2008. ISBN: 13: 978-047074382

Richard De Neufville. Applied Systems Analysis, McGraw Hill Inc, US 1990. ISBN: 13: 978-007016372

Slobodan P.  Simonovic. Managing Water Resources: Methods and Tools for a Systems Approach, 1st Edition Routlegde 2008. ISBN: 13: 978-184407553

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 Tuesday 10 July 2018 LAST REVISION DATE Tuesday 10 July 2018
KEY WORDS SEARCH Systems analysis; computer simulation; optimisation; genetic algorithm; genetic programming; neural network; MATLAB.