OVERVIEW

Laboratory course dedicated to data acquisition with modern commercial instrumentation and to data analysis with advanced mathematical tools.

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AIMS AND CONTENT

LEARNING OUTCOMES

Learning of experimental methods to analyze signals of time-varying physical systems using their representations in the time and frequency domains.

AIMS AND LEARNING OUTCOMES

At the end of the course, students will be able to design a data acquisition and processing system, using commercial components and being able to operate in both the time and frequency domains.

Furthermore, they will have acquired a basic knowledge of the concepts of noise and disturbance and will be able, at least in the simplest cases, to correct problems that arise in a real experimental system.

Students will also have a more in-depth knowledge, compared to the courses taken in previous years, of system control, studying their stability and the design of feedback mechanisms. The goal is to be able to study a system, predict its level of stability and act accordingly to improve its behaviour.

PREREQUISITES

"Laboratorio 2" course.

TEACHING METHODS

Lectures and group practical exercises in the laboratory, carried out during the course.

SYLLABUS/CONTENT

Complete characterization of time-invariant linear systems in the time and frequency domains; use of Fourier transforms.

Study of of correlation, autocorrelation and cross-correlation techniques.

Techniques for the extraction of the signal of interest with respect to noise and disturbances; understanding and using lock-in amplifiers.

Introduction to control theory: differential and algebraic equations with the transition to Laplace transforms; study of the response and stability of the system, through the analysis of its transfer function (search and factorization of poles and zeros).

Feedback design: introductory examples, techniques for modifying the transfer function of a system, application of stability criteria (root locus, Nyquist, Bode).

Design of data acquisition software using LabVIEW and study of system response using MATLAB.

Practical lessons in the laboratory, aimed at demonstrating in practice and at deepening the concepts studied in class.

RECOMMENDED READING/BIBLIOGRAPHY

Material available on AulaWeb (lecture slides and handouts).
In addition:

The Fast Fourier Transform and Its Applications
E. O. Brigham - Prentice Hall

Modern Control Engineering
Katsuhiko Ogata - Prentice Hall

Il Rumore Elettrico: dalla Fisica alla Progettazione
G. V. Pallottino - Springer

TEACHERS AND EXAM BOARD

Exam Board

CARLO SCHIAVI (President)

DANIELE MARRÉ

LESSONS

LESSONS START

Consult the calendar at the link: https://corsi.unige.it/corsi/8758/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Development of a project carried out independently (individually or in a group), which exploits the notions learned during the course, applying them to an experimental context not already addressed in the practical exercises or which is an extension of it.

Delivery and subsequent evaluation of a report on the project carried out.

Oral exam, accessible on condition that a positive evaluation of the report has been obtained.

ASSESSMENT METHODS

The oral exam largely focuses on the discussion of the project presented, with links to the theoretical aspects addressed during the course.

In addition, other topics are addressed, to assess the overall theoretical knowledge of the student.

This is meant to  evaluate not only the knowledge of the topics covered during the lessons, but also the scientific communication skills and the ability to practically and autonomously apply the techniques acquired during the course.

Exam schedule

FURTHER INFORMATION

A formal delivery of reports is not required for practical exercises in the laboratory, but participation will be verified.

Students who have valid certification of physical or learning disabilities on file with the University and who wish to discuss possible accommodations or other circumstances regarding lectures, coursework and exams, should speak both with the instructor and with Professor Sergio Di Domizio (sergio.didomizio@unige.it), the Department’s disability liaison.