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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-ordinatorSemester 1: Conor Brennan
Semester 2: Conor Brennan
Autumn: Conor Brennan
Module TeachersConor Brennan
NFQ level 8 Credit Rating 5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Coursework Only

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
Lecture24Classroom - based lectures
Laboratory22Computer based laboratory work
Group work40Group-based assignment work
Independent Study39Independent 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

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 Assessment60% Examination Weight40%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Group assignmentMatlab based assignment to solve a variety of numerical problems25%n/a
Report(s)Written / Oral presentation / report10%
In Class TestIndividual class test using Matlab to solve problems.25%n/a
In Class TestIn 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

Programme or List of Programmes
BSSAOStudy Abroad (DCU Business School)
ECEBEng Electronic & Computer Engineering
ECSAStudy Abroad (Engineering & Computing)
ECSAOStudy Abroad (Engineering & Computing)
Date of Last Revision21-OCT-09

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