Knowledge and understanding
The course will introduce students to the use of sensors, sensing systems for the realization and characterization of measurement systems. Morever, solutions will be presented for the development of multi-sensor systems and signal processing.
Applying knowledge and understanding
At the end of the course students will be able:
- develop a measurement session with the aim of sensor characterization
- implement measurement sessions exploiting sensors and conditioning electronics
- properly use signal processing methodologies and interpretation of a measurement session outcome
The course is structured in theoretical lessons and experimental sessions aimed to use knowledge on the use of sensors and sensing systems in real scenario. The experimental sessions will be organized in the form of work groups.
Above mentioened approach is in line with the course objectives which aim to implement the Transfer of Knowledge on sensors and sensing systems application.
Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.
Automatic Measurement Systems
Smart sensors
Rapid prototyping of sensors
Sensors exploiting smart materials
Micro-Electro-Mechanical Systems
Non Linear Energy-Harvesting
Signal processing for sensing systems
Application of sensors: Assistive Technology, Environmental monitoring
Experimental sessions for the implementation of (Smart)sensing systems
E. Doebelin: Mesurement systems, Mc Graw Hill;
Pallas-Areny J.G. Webster: Sensors and Signal Conditioning
Tutorial on Smart sensor systems and sensor networks