Registry
Module Specifications
Archived Version 2005  2006
 
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 reallife engineering queuing theory design problems using a software simulation tool. (P01, P02, P03)
 
 
NOTE  
Assume that a 5 credit module load represents approximately 75 hours' work, which includes all teaching, incourse 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 discretetime dynamic systems (1 hour) · Synchronous logic circuit examples · Control systems examples · Signal processing examples Simulation of linear continuoustime dynamic systems (2 hours) · Electronic circuit examples · Control systems examples · Signal processing examples Simulation of nonlinear continuoustime dynamic systems (2 hours)  
 
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 : acidfree paper), 0417599891. Dewey 510.2462 Sedgewick, Robert, Algorithms, AddisonWesley, 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:
<![if !supportEmptyParas]> <![endif]> Contribution to Programme Outcomes:
<![if !supportEmptyParas]> <![endif]> <![if !supportEmptyParas]> <![endif]> 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  
ECSA  Study Abroad (Engineering & Computing)  
ECSAO  Study Abroad (Engineering & Computing)  
EE  BEng in Electronic Engineering  
EEI  BEng Electronic Engineering Internship  
HMSA  Study Abroad (Humanities & Soc Science)  
HMSAO  Study Abroad (Humanities & Soc Science)  
ICE  BEng Info and Communications Engineering  
ICEI  BEng Info/Communications Eng Internship  
SHSA  Study Abroad (Science & Health)  
SHSAO  Study Abroad (Science & Health)  
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