Registry

Module Specifications

Archived Version 2007 - 2008

Module Title	Computation/Simulation
Module Code	EE317
School	School of Electronic Engineering
Online Module Resources
Module Co-ordinator	Dr Conor Brennan	Office Number	S339
Level	3	Credit Rating	5
Pre-requisite	None
Co-requisite	None

Module Aims

7 To introduce students to the concepts and skills of computation and computer simulation in engineering contexts such as signal processing, control systems and telecommunications. 7 To make students aware of the appropriate use of computation and simulation tools and the power of such tools. 7 To provide experience in the use of general purpose computational environments for analysis and simulation of systems in a range of engineering applications. Targetted environments include Matlab, Simulink, Opnet and C. 7 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 7 Demonstrate that they recognise the role of numerical approaches to solving engineering problems (PO1) 7 Demonstrate that they can describe the key numerical methods applied to engineering problems (PO1) 7 Choose the appropriate method to solve a particular problem, including recognising the limitations of various methods (PO1, PO2) 7 Derive formulas for solving particular problems from a generic approach (PO1, PO2) 7 Design an appropriate numerical approach to a given engineering problem described in general terms (evaluated in assignment) (PO1, PO2, PO3) 7 Demonstrate that they can communicate technical results from engineering problems solved using numerical approaches (evaluated in assignment) (PO6) 7 Solve real-life engineering queuing theory design problems using a software simulation tool. (P01, P02, P03)

Indicative Time Allowances
	Hours
Lectures	24
Tutorials	0
Laboratories	28
Seminars	0
Independent Learning Time	23

Total	75
Placements
Assignments

NOTE

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

COMPUTATION Overview of engineering computation algorithms and methods (0.5 hours) Issues in engineering computation(0.5 hours) Solution to sets of linear equations(1 hour) · Solution of overdetermined equations · Polynomial curve fitting example Iterative techniques and applications (1.5 hours) Finite difference techniques and applications (2 hours) Numerical integration (1.5 hours) Solution of ordinary differential equations(2 hours) Solution of partial differential equations(2 hours) Random number generation (1 hour) SIMULATION The role and limitations of engineering simulation (0.5 hours) Numerical mathemetics for simulation(1 hour) Overview of simulation environments (1.5 hours) Simulation of linear discrete-time dynamic systems (1 hour) · Synchronous logic circuit examples · Control systems examples · Signal processing examples Simulation of linear continuous-time dynamic systems (2 hours) · Electronic circuit examples · Control systems examples · Signal processing examples Simulation of nonlinear continuous-time dynamic systems (2 hours)

Assessment
Continuous Assessment	60%	Examination Weight	40%

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;

 

Design:
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

BSSA

Study Abroad (DCU Business School)

BSSAO

Study Abroad (DCU Business School)

DME

B.Eng. in Digital Media Engineering

DMEI

BEng in Digital Media Engineering Intern

ECSA

Study Abroad (Engineering & Computing)

ECSAO