Registry

Module Specifications

Archived Version 2010 - 2011

Module Title	Measurement & Signal Processing
Module Code	MM307
School	School of Mechanical and Manufacturing Engineering
Online Module Resources
Module Co-ordinator	Dr Harry Esmonde	Office Number	S373
Level	2	Credit Rating	5
Pre-requisite	None
Co-requisite	None

Module Aims

Learning Outcomes

On completion of this module, the student will be able to:

• Identify the relevant static and dynamic performance characteristics of sensors. (PO1, PO3)

• Use appropriate techniques for handling errors in measurement. (PO2)

• Use curve fitting techniques when modelling systems based on experimental data. (PO2, PO3)

• Describe some of the more common signal conditioning techniques used in measurement. (PO1)

• Represent periodic signals with Fourier series. (PO1, PO6).

• Use the fourier transform to represent aperiodic signals. (PO1, PO6).

• Understand the application of the discrete fourier transform and the fast fourier transform when working with sampled data. (PO1, PO6).

• Be aware of the difference between analogue and digital signals and the limitations of sampling processes (PO1, PO6).

Indicative Time Allowances
	Hours
Lectures	24
Tutorials	12
Laboratories	9
Seminars
Independent Learning Time	30

Total	75
Placements
Assignments

NOTE

Assume that a 5 credit module load represents approximately 75 hours' work, which includes all teaching, in-course assignments, laboratory work or other specialised training and an estimated private learning time associated with the module.

Indicative Syllabus

Null/deflection type sensors, passive/active sensors, static/dynamic characteristicssystematic/random errors, counteracting systematic errors,evaluation of uncertainty, statistical error analysis, goodness of fit, least squares regression, correlation coefficientsignal conditioning, op amp circuits, filtering, digital signal processing, A/D, D/A conversion, sampling theory, aliasing, resolution, frequency domain representation of periodic/ non-periodic signals, Fourier series/transform, DFT, FFT