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Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title Measurement & Signal Processing
Module Code MEC1015 (ITS: MM307)
Faculty Mechanical & Manufacturing Eng School Engineering & Computing
NFQ level 8 Credit Rating 5
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.


WorkloadFull time hours per semester
TypeHoursDescription
Lecture20No Description
Tutorial9No Description
Laboratory4No Description
Independent Study83No Description
Total Workload: 116
Section Breakdown
CRN10215Part of TermSemester 1
Coursework0%Examination Weight0%
Grade Scale40PASSPass Both ElementsY
Resit CategoryRC3Best MarkN
Module Co-ordinatorHarry EsmondeModule Teacher
Assessment Breakdown
TypeDescription% of totalAssessment Date
Laboratory Portfolio2 laboratory sessions20%n/a
Formal ExaminationStandard exam paper80%End-of-Semester
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.

* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None

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

Indicative Reading List

Books:
  • 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,


Articles:
None
Other Resources

None

<< Back to Module List View 2024/25 Module Record for MM307