Module: Measurement & Signal Processing

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Measurement & Signal Processing
Module Code	MM307 (ITS) / MEC1015 (Banner)
Faculty	Engineering & Computing	School	Mechanical & Manufacturing Eng
Module Co-ordinator	Harry Esmonde
Module Teachers	-
NFQ level	8	Credit Rating	5
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

Repeat examination
Array

Description

In this module students are introduced to the principles of measurement and signal processing.

Learning Outcomes

1. Identify the relevant static and dynamic performance characteristics of sensors.
2. Use appropriate techniques for handling errors in measurement.
3. Use curve fitting techniques when modelling systems based on experimental data.
4. Describe some of the more common signal conditioning techniques used in measurement.
5. Represent periodic signals with Fourier series.
6. Use the Fourier transform to represent aperiodic signals.
7. Explain the application of the discrete Fourier transform and the fast Fourier transform when working with sampled data.
8. Explain the difference between analogue and digital signals and the limitations of sampling processes
9. Derive frequency response functions for linear systems.
10. Demonstrate an understanding of spectral analysis.

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	20	No Description
Tutorial	9	No Description
Laboratory	4	No Description
Independent Study	83	No Description
Total Workload: 116

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

Assessment Breakdown
Continuous Assessment	20%	Examination Weight	80%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Laboratory Portfolio	2 laboratory sessions	20%	n/a

Reassessment Requirement Type
Resit arrangements are explained by the following categories: Resit category 1: A resit is available for both* components of the module. Resit category 2: No resit is available for a 100% continuous assessment module. Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 3

Indicative Reading List

Alan S. Morris: 2001, Measurement and Instrumentation Principles, 3rd, Butterworth Heinmann,
John P. Bentley: 2004, Principles of Measurement Systems, 4th, Prentice Hall,
Jack Holman: 2011, Experimental Methods for Engineers, 8th, McGraw Hill,
Paul A Lynn: 1989, An Introduction to the Analysis and Processing of Signals, 3rd, Chem/Matls-Sci,
James H. McClellan, Ronald W. Schafer, Mark A. Yoder: 2003, Signal Processing First, 1st, Prentice Hall,
Julius S. Bendat, Allan G. Piersol: 1993, Engineering Applications of Correlation and Spectral Analysis, 2nd, Wiley,

Other Resources

None