Registry

Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title	Computation/Simulation
Module Code	EE317
School	School of Electronic Engineering
Online Module Resources
Module Co-ordinator	Semester 1: Conor Brennan Semester 2: Conor Brennan Autumn: Conor Brennan
Module Teacher	Conor Brennan
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.

Workload	Full-time hours per semester
*Type*	*Hours*	*Description*
Lecture	24	Classroom - based lectures
Lab	12	Computer based laboratory work
Group work	20	Group-based assignment work
Assignment	20	Independent contribution towards group work
Independent learning	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	100%	Examination Weight	0%

Course Work Breakdown
Type	Description	% of total	Assessment Date
Group assignment	Matlab assignment to solve a variety of numerical problems	50%	n/a
In Class Test	1 hour Class test	30%	n/a
Oral presentations	Written / Oral presentation / report	20%	n/a

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
This module is category 1

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

Array

Programme or List of Programmes

BSSA

Study Abroad (DCU Business School)

BSSAO

Study Abroad (DCU Business School)

DME

B.Eng. in Digital Media Engineering

ECSA

Study Abroad (Engineering & Computing)