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  6. EE4017: SENSING AND INSTRUMENTATION

EE4017: SENSING AND INSTRUMENTATION (2016-2017)

Last modified: 28 Jun 2018 10:27


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

None.

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

  • Any Undergraduate Programme (Studied)
  • EG3007 Engineering Analysis and Methods 1a (Passed)
  • Either EE3053 Signals, Systems & Signal Processing (Passed) or EG3053 Signals, Systems and Signal Processing (Passed)
  • One of 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)
  • Either EE1501 Electronics Design (Passed) or EG1501 Electronics Design (Passed)

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?

No

Course Description

  1. Fundamentals of measurement - Measureable quantities - Accuracy and reproducibility
  2. Sensing - Types of sensors – Conditioning - Processing & representation (frequency domain, time domain, polar plots, etc.)

  3. Measuring environments & busses - Appreciate operation of typical instrumentation systems - Lab view, instrumentation busses- Remote probes/sensors - Identify the various methods of signal transmission

  4. Applications - Lab/field measurement - Using data in control systems, conformance testing, and production lines.

  5. 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

None.
 

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