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Module Specifications

Archived Version 2010 - 2011

Module Title Computation/Simulation
Module Code EE317
School School of Electronic Engineering

Online Module Resources

Module Co-ordinatorDr Conor BrennanOffice NumberS339
Level 3 Credit Rating 5
Pre-requisite None
Co-requisite None
Module Aims

To introduce students to the concepts and skills of numerical methods in engineering contexts such as signal processing, control systems and telecommunications. 

To make students aware of the appropriate use of numerical methods and the power and limitations of such tools.

To provide experience in the use of general purpose computational environments for analysis and simulation of systems in a range of engineering applications. Targeted environments include Matlab and C.

To give students applications experience in computation and simulation for signal processing, control systems manufacturing systems and telecommunications.

Learning Outcomes

On completion of this module, the student will be able to

Demonstrate that they recognise the role of numerical approaches to solving engineering problems (PO1)

Demonstrate that they can describe the key numerical methods applied to engineering problems (PO1)

Choose the appropriate method to solve a particular problem, recognising the strengths and limitations of various methods (PO1, PO2)

Derive formulas for solving particular problems from a generic approach (PO1, PO2)

Design an appropriate numerical approach to a given engineering problem described in general terms (PO1, PO2, PO3)

Demonstrate that they can communicate technical results from engineering problems solved using numerical approaches (PO6)

Demonstrate an ability to work collaboratively in a team environment to solve engineering problems.  (PO5)

Indicative Time Allowances
Lectures 24
Tutorials 0
Laboratories 12
Seminars 0
Independent Learning Time 39

Total 75
Assume that a 5 credit module load represents approximately 75 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.

Indicative Syllabus
Overview of engineering computation algorithms and methods, Issues in engineering computation,  Solution to sets of linear equations, Solution of over-determined equations · Polynomial curve fitting. Iterative techniques and applications, Finite difference techniques and applications, Numerical integration, Solution of ordinary differential equations, Solution of partial differential equations, Random number generation.
Continuous Assessment100% Examination Weight0%
Indicative Reading List
Akai, T.J. Applied Numerical Methods for Engineers, Wiley, 1994. Kreyszig, E., Advanced engineering mathematics, Wiley, c1993, 7th ed. ISBN 0471553808 (cloth : acid-free paper), 0417599891. Dewey 510.2462 Sedgewick, Robert, Algorithms, Addison-Wesley, c1983, ISBN 0201066726. Dewey 005.12. Kheir, N.A. (Ed.) Systems Modelling and Computer Simulation, Marcel Dekker, 1988, 001.434 KHE Neelamkavil, F. Computer Simulation and Modelling, Wiley, 1987

Contribution to Programme Areas:

Science & Mathematics

Discipline - specific Technology

Information and Communications Technology

Design and Development

Engineering Practice

Social and Business Context







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Contribution to Programme Outcomes:

Knowledge and Its Application:

The ability to derive and apply solutions from a knowledge of sciences, engineering sciences, technology and mathematics

Problem Solving:

The ability to identify, formulate, analyse and solve engineering problems;

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The ability to design a system, component or process to meet specified needs, to design and conduct experiments and to analyse and interpret data;

Ethical Practice:

An understanding of the need for high ethical standards in the practice of engineering, including the responsibilities of the engineering profession towards people and the environment

Effective Work and Learning:

The ability to work effectively as an individual, in teams and in multidisciplinary settings together with the capacity to undertake lifelong learning;

Effective Communication:

The ability to communicate effectively with the engineering community and with society at large







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Teaching & Learning Strategies/Assessment Methodology:

This module is assessed by assignment (60%) and by closed book examination (40%).  The simulation assignment involves using a commercial software package to simulate a realistic engineering design problem. This assignment involves working in teams of three and producing a final report that presents and justifies their design solution. The Computation assignment involves the use of MATLAB to find a numerical solution to a Partial Differential Equation.

Programme or List of Programmes
BSSAStudy Abroad (DCU Business School)
BSSAOStudy Abroad (DCU Business School)
DMEB.Eng. in Digital Media Engineering
ECSAStudy Abroad (Engineering & Computing)
ECSAOStudy Abroad (Engineering & Computing)
EEBEng in Electronic Engineering
HMSAStudy Abroad (Humanities & Soc Science)
HMSAOStudy Abroad (Humanities & Soc Science)
ICEBEng Info and Communications Engineering
SHSAStudy Abroad (Science & Health)
SHSAOStudy Abroad (Science & Health)