Registry

Module Specifications

Archived Version 2011 - 2012

Module Title	Computation/Simulation
Module Code	EE317
School	School of Electronic Engineering
Online Module Resources
Module Co-ordinator	Dr Conor Brennan	Office Number	S339
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Description

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. Targetted environments include Matlab and C.

Learning Outcomes

1. demonstrate that they recognise the role of numerical approaches to solving engineering problems
2. describe the key numerical methods applied to engineering problems
3. choose the appropriate method to solve a problem, recognising the strengths and limitations of various methods.
4. derive formulas for solving particular problems from a generic starting point.
5. design an appropriate numerical approach to a given engineering problem described in general terms.
6. demonstrate that they can communicate technical results from engineering problems solved using numerical approaches
7. demonstrate an ability to work collaboratively in a team environment to solve engineering problems.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	24	Classroom - based lectures
Laboratory	12	Computer based laboratory work
Group work	20	Group-based assignment work
Assignment Completion	20	Independent contribution towards group work
Independent Study	50	Independent learning
Total Workload: 126

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

NUMERICAL METHODS
Overview of engineering computation algorithms and methods. Issues in engineering computation. Solutions to sets of linear equations. Solution of over determined systems. Polynomial curve fitting. Iterative techniques and applications. Solution of ODEs. Solution of PDEs. Random number generation

Assessment Breakdown
Continuous Assessment	60%	Examination Weight	40%

Type	Description	% of total	Assessment Date
Course Work Breakdown

Reassessment Requirement
Resit arrangements are explained by the following categories; 1 = A resit is available for all components of the module 2 = No resit is available for 100% continuous assessment module 3 = No resit is available for the continuous assessment component
Unavailable

Indicative Reading List

Akai, T.J.: 0, Applied Numerical Methods for Engineers, Wiley, 1994,
Erwin Kreyszig: 1993, Advanced engineering mathematics, Wiley, New York, 0471553808
Robert Sedgewick: 1983, Algorithms, Addison-Wesley, Reading, Mass., 0201066726
Kheir N.A. (Ed): 1988, Systems modelling and computer simulation,
Neelamkavil F: 1987, Computer Simulation and Modeling, Wiley,

Other Resources

None

Programme or List of Programmes

ECE	BEng Electronic & Computer Engineering
ECSA	Study Abroad (Engineering & Computing)
ECSAO	Study Abroad (Engineering & Computing)

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