LABORATORY of SENSORS and SENSING SYSTEMS

Academic Year 2024/2025 - 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 and fundamentals of trnasduction mechanisms are required.

Attendance of Lessons

The course attendance is not mandatory, although strongly suggested.

Detailed Course Content

Basics on sensors

Ultrasound sensors and encoders

Radiation thermometry

Automatic Measurement Systems

Smart sensors

Rapid prototyping of sensors

Sensors exploiting smart materials

Energy-Harvesting

Signal processing for sensing systems

Application of sensors and sensing systems

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
1Ultrasound sensors and encodersE. Doebelin: Mesurement systems, Mc Graw Hill; 
2Radiation ThermometryE. Doebelin: Mesurement systems, Mc Graw Hill;
3Automatic Measurement SystemsTutorial
4Smart sensor systems and sensor networksTutorial
5Rapid prototyping of sensorsTutorial
6Sensors exploiting smart materialsTutorial
7 Energy-HarvestingTutorial
8Data elaboration and signal processingE. Doebelin: Mesurement systems, Mc Graw Hill; tools tutorial
9Application of sensorsTutorial
10Measurement systems employing resistive sensors, capacitive sensors, inductive sensors, active sensors, digital sensorsE. Doebelin: Mesurement systems, Mc Graw Hill;

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.

To ensure equal opportunities and in compliance with current laws, interested students may request a personal interview in order to plan any compensatory and/or dispensatory measures based on educational objectives and specific needs. Students can also contact the CInAP (Centro per l’integrazione Attiva e Partecipata - Servizi per le Disabilità e/o i DSA) referring teacher within their department.

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

Examples of frequently asked questions and / or exercises

- Development of sensing systems

- Ultrasound sensors and encoders

- Radiation thermometry

- Automatic Measurement Systems

- Smart sensors

- Rapid prototyping of sensors

- Sensors exploiting smart materials

- Energy-Harvesting

- Signal processing for sensing systems

VERSIONE IN ITALIANO