Engineering

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ECMM178 - Computational Techniques for Engineers (2019)

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MODULE TITLEComputational Techniques for Engineers CREDIT VALUE15
MODULE CODEECMM178 MODULE CONVENERProf Gino Hrkac (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

Industrial and academic research demands on advanced materials design and product optimization has been increasing over the last years. One powerful tool used by companies is materials and device modelling giving a cheap and effective route to new and improved devices. This module will introduce you to the basic concepts of numerical modelling (finite-element modelling with introductions to MatLab and C/C++) and its different fields of application, including thermal modelling, magnetic materials and mechanical deformation modelling, using state of the art software used by academics and companies.

AIMS - intentions of the module

This unit aims to introduce you to the concept of numerical methods and simulation techniques for materials and device modelling, teaching you the strengths and limitations of simulations methods emphasized on state of the art software used by academics and companies.

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:

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, SM2m, SM3m, SM4m, SM2fl, SM5m, EA3m, EA1fl, EA6m, EA3fl

1. Understanding of theory and numerical techniques of finite-element modelling, using MatLab and C/C++
2. Use numerical methods and simulation techniques to conduct studies on materials & structures exposed to external and internal forces
3. Understanding of capabilities and limits of modelling in science and engineering  

Discipline Specific Skills and Knowledge: SM2m, EA3m, EA1fl, EA6m, EA3fl, D4m

4. Demonstrate and apply knowledge and understanding of system models relevant to science and engineering
5. Autonomously analyse and solve engineering problems.
6.Describe and begin to evaluate aspects of current research in science and engineering with reference to textbooks and other literature sources.

Personal and Key Transferable / Employment Skills and Knowledge: D6m, G1m G1fl, G3m, G3fl, G4m, G4fl

7. Communicate ideas effectively and professionally by written means
8. Participate effectively and professionally in discussion of scientific ideas
9. Interact effectively in a group
10. Begin to develop the skills for independent study, with some guidance.
11.Select and properly manage information drawn from books and other literature sources

 

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

A. Introduction to the finite-element method  and examples; what it is about it and what it can do:

1.Review of important partial differential equations (PDEs) and Finite-Difference (FD) method for solution of PDEs

2. Finite-Element discretization.

3. Variational principle -Ritz finite-element method and applications

4. Galerkin finite-element method (weighted residual method) and applications

5. Finite Volume Method – basics and applications

6. Discontinuous Galerkin FEM – basics and applications

B. Matlab introduction

1. Matrix and vector operations, solution of linear equations, Loop and logical statements, writing function subroutines, File manipulations and plotting functions

2. Laplace and 2D heat equation, and solution of ordinalry and partial differential equations.

C. Molecular dynamics (linking micro and macro system models)

1. Harmonic Potentials (Morse, Buckingham)

2. Embedded atom Potentials (EAM and MEAM)

D. Introduction into C and C++ programming

1. simple problems from Mechanics (Newton mechanics)

2. simple problems from electromagnetics (coil, electric field and magnetic field)

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 26.00 Guided Independent Study 124.00 Placement / Study Abroad 0.00
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled learning and teaching activities 18 Lectures
Scheduled learning and teaching activities 8 Tutorial Workshops
Guided independent study 124 Guided Independent Study

 

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
       
       
       
       
       
SUMMATIVE ASSESSMENT (% of credit)
Coursework 0 Written Exams 0 Practical Exams 100
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Practical (computer lab) assessment 1 50 90 minutes All Written
Practical (computer lab) assessment 2 50 90 minutes All Written
         
         
         

 

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-assessment
All above Coursework (100%) All Completed over summer in August
       
       

 

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

Basic reading:

 

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

 

Web based and Electronic Resources:

 

Other Resources:

 

Reading list for this module:

Type Author Title Edition Publisher Year ISBN Search
Set Wiedemann Numerical Physics ISBN 3-540-40774- [Library]
Set Burden and Faires Numerical Analysis ISBN 0-534-40499- [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 Computational; computational modelling; finite element