LABORATORY of SENSORS and SENSING SYSTEMS

Academic Year 2022/2023 - Teacher: Bruno ANDO'

Expected Learning Outcomes

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

Course Structure

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.

Required Prerequisites

Skills related to  basic measurement theory are required.

Attendance of Lessons

The course attendance is not mandatory, although strongly suggested.

Detailed Course Content

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

Textbook Information

E. Doebelin: Mesurement systems, Mc Graw Hill;

Pallas-Areny J.G. Webster: Sensors and Signal Conditioning

Tutorial on Smart sensor systems and sensor networks

Course Planning

 SubjectsText References
1Automatic Measurement SystemsTutorial
2Smart sensor systems and sensor networksTutorial
3Rapid prototyping of sensorsTutorial
4Sensors exploiting smart materialsTutorial
5Micro-Electro-Mechanical SystemsTutorial
6Non Linear Energy-HarvestingTutorial
7Data elaboration and signal processingE. Doebelin: Mesurement systems, Mc Graw Hill; tools tutorial
8Application of sensorsTutorial
9Measurement systems employing resistive sensors, capacitive sensors, inductive sensors, active sensors, digital sensorsE. Doebelin: Mesurement systems, Mc Graw Hill;
10Development of conditioning Electronics for sensing systemsPallas-Areny J.G. Webster: Sensors and Signal Conditioning.

Learning Assessment

Learning Assessment Procedures

The examination consists in a colloquium aimed to assess competences on subjectes presented during the course. The final mark will take into account performances demonstrated during the experimental sessions.

Learning assessment may also be carried out on line, should the conditions require it.

VERSIONE IN ITALIANO