The course involves 24 lectures of taught content in the first three weeks, followed by nine weeks in which students complete three experiments. The experiments will require the application of bioinstrumentation skills and techniques, and allow students to gather and analyse data for presentation in three reports.
By the end of this course, successful students will be able to:
1. Select and use context-appropriate metrics, uncertainty and standards to express the measurements of physical quantities.
2. Describe the principles and practice of data acquisition.
3. Select and use appropriate programming environments (e.g. LabVIEW, Arduino, Python) for the purpose of data acquisition and analysis.
4. Describe, select and use appropriate sensors for measuring force, pressure, temperature and flow in bioengineering applications.
5. Describe and use signal processing and measurement feature extraction techniques for calculating power spectral density, tone detection and modulation, multi-dimensional image registration, deformation/displacement measurement and linear system identification.
6. Design and implement basic feedback control in bioengineering measurement.
7. Select and use appropriate engineering tools such as computer aided design and analysis, and workshop equipment (laser cutting, 3D printing, circuit construction) to design and construct engineering components.