EE4017: SENSING AND INSTRUMENTATION (2017-2018)

Last modified: 25 May 2018 11:16

Course Overview

The course introduces sensing and instrumentation for various engineering applications. Major part of the course will consider case studies of sensing and instrumentation for various engineering applications and is suitable for all engineering and non-engineering students to learn about sensing and instrumentation.

Course Details

Study Type	Undergraduate	Level	4
Term	First Term	Credit Points	10 credits (5 ECTS credits)
Campus	None.	Sustained Study	No
Co-ordinators	Dr David Vega-Maza

Qualification Prerequisites

Either Programme Level 3 or Programme Level 4

What courses & programmes must have been taken before this course?

EG3007 Engineering Analysis and Methods 1a (Passed)
Any Undergraduate Programme (Studied)
One of Bachelor of Engineering in Eng (Mech with Oil & Gas Studies) (Studied) or Bachelor of Engineering in Eng (Electrical and Electronic) (Studied) or Bachelor of Engineering in Eng (Electr and Electro) Edin Col (Studied) or Master of Engineering in Electrical & Electronic Engineering (Studied) or Bachelor of Engineering in Eng (Mechanical and Electrical) (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

EG4017 Sensing and Instrumentation (Studied)

Are there a limited number of places available?

Course Description

Fundamentals of measurement - Measureable quantities - Accuracy and reproducibility
Sensing - Types of sensors – Conditioning - Processing & representation (frequency domain, time domain, polar plots, etc.)
Measuring environments & busses - Appreciate operation of typical instrumentation systems - Lab view, instrumentation busses- Remote probes/sensors - Identify the various methods of signal transmission
Applications - Lab/field measurement - Using data in control systems, conformance testing, and production lines.
Case Studies from the following list:

Optical sensing

Electrical current, etc

Small-scale displacement (piezo-electric, etc)

Dynamics

Formula student, stress-strain, etc

Remote Image Sensing (PIR, Image processing, edge detection)

Gyroscopes

GPS as a reference time source

Structural Health Monitoring

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers

Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

1st Attempt: 1 two hour written examination paper (60%) Case study write-up 1 (20%) Case study write-up 2 (20%) Resit: 1 two hour written examination paper (60%) Case study write-up (20%) (resubmission of same case study write-up 1) Case study write-up 2 (20%) (resubmission of same case study write-up 2)

Formative Assessment

3 two-hour practical sessions requires the students to submit case studies reports at the end of each lab, in order for formative assessment and feedback to be provided.

Feedback

a) Students can receive feedback on their progress with the Course on request at the weekly tutorial/feedback sessions and at the computer programming lab sessions.

b) Generic exam feedback will be emailed to the whole class at their University email address.

c) Students requesting individual feedback on their exam performance should make an appointment within 3 weeks of the publication of the exam results.

d) Marked lab assignments will be returned with marks and comments.

Course Learning Outcomes