Module: Computation/Simulation

Module Specifications..

Current Academic Year 2023 - 2024

Please note that this information is subject to change.

Module Title	Computation/Simulation
Module Code	EE317
School	School of Electronic Engineering
Module Co-ordinator	Semester 1: Conor Brennan Semester 2: Conor Brennan Autumn: Conor Brennan
Module Teachers	Conor Brennan
NFQ level	8	Credit Rating	5
Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

Coursework Only
Array

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	22	Computer based laboratory work
Group work	40	Group-based assignment work
Independent Study	39	Independent learning
Total Workload: 125

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. Polynomial curve fitting. Iterative techniques and applications. Solution of ordinary differential equations. Solution of partial differential equations. Random number generation. Root finding methods. Numerical differentiation and quadrature.

Assessment Breakdown
Continuous Assessment	60%	Examination Weight	40%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Group assignment	Matlab based assignment to solve a variety of numerical problems	25%	n/a
Report(s)	Written / Oral presentation / report	10%
In Class Test	Individual class test using Matlab to solve problems.	25%	n/a
In Class Test	In class test replacing the final exam. This will take place on Webwork.	40%	n/a

Reassessment Requirement Type
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

Erwin Kreyszig,: 2011, Advanced Engineering Mathematics, 10th, Wiley, 9780470458365
Holly Moore: 2013, Matlab for Engineers, 4th, Prentice Hall, 9780133485974
Robert Sedgewick, Kevin Wayne,: 2011, Algorithms, 4th, Pearson, 9780321573513

Other Resources

None

Programme or List of Programmes

BSSAO	Study Abroad (DCU Business School)
ECE	BEng Electronic & Computer Engineering
ECSA	Study Abroad (Engineering & Computing)
ECSAO	Study Abroad (Engineering & Computing)

Date of Last Revision

21-OCT-09

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