Compulsory subject for the Master of Science in Electronic Engineering (first year, first term). This course is meant to extend the subjects of the electronic measurement of the bachelor course. The theoretical lessons deal with: uncertainty estimation according to the probabilistic approach, quality management of measuring instruments (calibration, traceability, metrological confirmation), analysis of the architecture of data-acquisition boards and micro-controller based boards, distributed measuring systems, sensors and conditioning circuitry, spectrum analysis.

- Knowledge of the rules for the uncertainty estimation according to the probabilistic approach - Knowledge of the most important issues related to traceability and certification of measuring instruments - Capability of scheduling a quality-assurance program for the measuring instrumentation - Capability of understanding the specifications and operating procedures of the modern digital instrumentation - Knowledge of characteristics and capabilities of spectrum analyzers - Knowledge of the working principles of the most commonly used sensors - Capability of analyzing sensor specifications and selecting the most suitable conditioning circuitry - Knowledge of the architecture of data-acquisition board and micro-controller based measuring systems - Knowledge of the most important architectures of complex and distributed measuring systems and industrial buses - Capability of designing a complex measuring systems selecting the most suitable components and interconnection devices

Concept of physical quantity, measurement, methods and uncertainty Uncertainty estimation according to the deterministic approach Knowledge of working principle and use of the conventional instrumentation for electrical quantities Knowledge of the fundamental measuring methods (direct, indirect, comparison, zero based, bridge) Knowledge of theory and use of operational amplifiers and filters Basic knowledge of analogue- to-digital conversion and sampling theory Basics of probability and statistics

Uncertainty estimation according to the probabilistic approach: terms and definitions, estimation of standard uncertainty and expanded uncertainty, propagation of uncertainty, correlated and uncorrelated measurements, numerical examples (0.9 CFU). International organization of metrology and multi-lateral agreements; national calibration systems; calibration and traceability; quality-assurance programs for measuring instrumentation (1.5 CFU). Analysis and development of measuring systems based on data-acquisition boards and micro-controller based boards (2.0 CFU). Distributed measuring systems and interconnection buses (0.9 CFU). Working principles of the most commonly used sensors and related conditioning circuitry (1.5 CFU). Spectrum analysis: analogue and digital techniques (1.2 CFU).

Theoretical lessons (about 44 hours). Practical lessons (about 9 hours). Laboratory experiments (about 27 hours). The practical lessons deal with the design and the uncertainty analysis of conditioning circuitry and data acquisition systems. During the 9 laboratory experiments, students are grouped by 4 and work on the the verification of measuring instruments and on development of measuring systems based on data-acquisition boards and micro-controller based boards. Laboratory topics are proposed by the teacher and yearly updated to reflect the laboratory availability. A report on each laboratory experiment is suggested, though not compulsory.

Measurement errors: theory and practice (S. Rabinovich) ISO/IEC Guide 98-3:2008 - Uncertainty of measurement - Part 3: Guide to the expression of uncertainty in measurement. Practical data communications for instrumentation and control (J. Park, S. Mackay, E. Wright) On the web portal: A book on calibration, traceability and metrological confirmation of measuring instruments A set of transparencies on the course subjects including examples of the final test questions

Modalitą di esame: Prova scritta (in aula); Elaborato scritto prodotto in gruppo;

Exam: Written test; Group essay;

... The final examination aims to check the expected learning outcomes through a written test (2 hours) made up of two parts. The first part includes one problem related to the design and the uncertainty analysis of a data acquisition system (max score 10), while the second part includes 4 questions or exercises (max score 5 each). The evaluation is based on the correctness of the results and on the capability of designing the data acquisition system according to the measurement requirements. Students who reach at least the score of 18/30 in the written test can obtain an additional score related to the evaluation of the laboratory reports (report score from 0 to a maximum of 3/30). Laboratory reports are evaluated based on the completeness of the information and the correct metrological approach. During the examination, reading books or notes is not allowed.

Gli studenti e le studentesse con disabilitą o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unitą Special Needs, al fine di permettere al/la docente la declinazione pił idonea in riferimento alla specifica tipologia di esame.