| Short Description: | Meas Science & Instrn Eng |
| Units : | 1 |
| Faculty or Section : | Faculty of Health, Engineering and Sciences |
| School or Department : | School of Mechanical and Electrical Engineering |
| Student contribution band : | Band 2 |
| ASCED code : | 031399 - Electrical, Electronic Enginee |
| Grading basis : | Graded |
| Version produced : | 2 March 2021 |
Synopsis
This course does NOT present a traditional catalogue of standard measurement techniques. In consequence this is a design-oriented course which seeks to develop cross-disciplinary skills in fundamental areas including the use of the Measurement Process Algorithm; the physics, classification and selection of sensors and transducers; theory of scales and standards; signals, systems and modelling techniques; evaluation of available technologies; manufacturing; economic and management implications. Advanced topics will be drawn from: fibre optic and silicon sensors; distributed sensing; rule based and fuzzy sensing; multisensor systems and sensor fusion; intelligence and mechatronics in instruments; and tactile sensing. This course is appropriate for students with a range of backgrounds in the senior or honours years of an engineering or science degree with an appropriate electronics background.
Course offers
| Semester | Mode | Campus |
|---|---|---|
| Semester 1, 2021 | Online |