Advanced Sensorsystems

Electrical, optical, acoustic and electromagnetic measurement methods. System characteristics. Noise and interference. Signal conditioning. Signal processing. Measurement accuracy. Graphic programming with virtual instrumentation and programming in LabVIEW. Project planning, data presentation and reporting.

Expected Learning Outcomes:
Knowledge: After completing the course, the candidate should be able to:
- explain the behaviour and characteristics of selected electrical or optical sensors
- describe and interpret static and dynamic characteristics of measurement systems
- describe the effect of noise and interference, as well as describe methods for reducing them
- the principles and use of computer assisted measurement techniques with control of instruments, measuring equipment and data collection.

Skills: After completing the course, students should be able to:
- design measurement system that meet requirements wrt. accuracy and dynamic response
- model signal and noise and calculate expected target accuracy in a measurement system
- program data acquisition and data presentation
- document experiments and measurement data

General competence: After completing the course, students should be able to:
- evaluate specifications, design, construction, and operate a sensor system

Lectures, exercises and project work.