- UCAS course code
- UCAS institution code
MEng Electronic Engineering with Industrial Experience
Year of entry: 2021
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Course unit details:
Measurements & Analytical Software
|Unit level||Level 1|
|Teaching period(s)||Semester 1|
|Offered by||Department of Electrical & Electronic Engineering|
|Available as a free choice unit?||No|
The Brief Description of the Unit:
EEEN10038 introduces students to instrumentation and measurement, as a discipline within EEE. The importance of traceable measurement to commerce in general and control system engineering is highlighted.
Measurement theory is examined, including key concepts such as accuracy and precision. Statistical methods for dealing with random uncertainty are introduced and the propagation of measurement uncertainties into derived quantities is considered.
Example test and measurement devices are examined, including the most common benchtop instruments (digital multimeter, oscilloscope) and a data acquisition (DAQ) device. The correct use of each device is described and their performance and specifications are considered in terms of concepts introduced in measurement theory.
The LabVIEW™ programming language is introduced and used to develop a simple measurement system, based on a DAQ device.
Course entry requirements; Algebraic manipulation; log10; exp(x); Basic statistics; Basic electrical parameters: voltage, current and resistance.
This course unit detail provides the framework for delivery in 2020/21 and may be subject to change due to any additional Covid-19 impact. Please see Blackboard / course unit related emails for any further updates.
The unit aims to:
Introduce students to instrumentation and measurement as a significant field of specialism within electronic engineering.
Familiarize students with the basic theory and practice of measurement, with an emphasis on electrical measurements.
Enable students to make effective use of common electrical test instruments, including a basic data acquisition device.
Provide an introduction to LabVIEW™ as a tool for developing measurement systems.
On the successful completion of the course, students will be able to:
Describe how electronic signals, representing physical quantities, can be obtained using sensors and instrumentation.
Use appropriate techniques to describe systematic and random uncertainties in measured data.
Relate instrument performance to fundamental concepts, such as noise and bandwidth
Use a data acquisition device to acquire signals from a sensor
Implement basic signal processing algorithms for the characterisation of measured signals
Teaching and learning methods
Large group lectures delivered primarily using PowerPoint presentations but also incorporating simple demonstrations of instruments and LabVIEW programming. E-learning videos are used to demonstrate some concepts. Presentation slides and notes are available electronically via Blackboard.
Three, three-hour laboratory sessions are delivered in a computer cluster with the aid of Teaching Assistants. The first two sessions aim to familiarise students with the LabVIEW programming environment and basic concepts of visual programming. The third session, which is directly related to the coursework, aims to bring the two halves of the unit together with LabVIEW-based measurement exercises.
Links to supplementary electronic resources are also provided via Blackboard including instructional videos on the use of measurement instruments, and other resources for improving LabVIEW and myDAQ skills.
Online LabVIEW test:
This examination forms 5% of the unit assessment.
As defined by tutorial schedule
The tutorial questions forms 10% of the unit assessment
Measurement and instrumentation: theory and application - Alan S. Morris, Reza Langari, 2015
Principles of measurement systems - John P. Bentley, 2005
Elements of electronic instrumentation and measurement - Joseph J. Carr, 1996
Hands-on introduction to LabVIEW for scientists and engineers - John Essick, 2019
Introduction to data acquisition with LabVIEW - Robert H. King, 2009
LabVIEW for everyone: graphical programming made easy and fun - Jeffrey Travis, 2006
|Scheduled activity hours|
|Practical classes & workshops||9|
|Independent study hours|
|Paul Wright||Unit coordinator|