First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
MECHATRONIC ENGINEERING
Course unit
INSTRUMENTATION AND MEASUREMENT FOR THE AUTOMATION
IN01121789, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course First cycle degree in
MECHATRONIC ENGINEERING
IN2376, Degree course structure A.Y. 2017/18, A.Y. 2019/20
N0
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination INSTRUMENTATION AND MEASUREMENT FOR THE AUTOMATION
Department of reference Department of Management and Engineering
E-Learning website https://elearning.unipd.it/dtg/course/view.php?idnumber=2019-IN2376-000ZZ-2017-IN01121789-N0
Mandatory attendance No
Language of instruction Italian
Branch VICENZA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge ALESSANDRO SONA ING-INF/07

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/07 Electric and Electronic Measurement Systems 6.0

Course unit organization
Period First semester
Year 3rd Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 23/09/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2017 course timetable

Examination board
Examination board not defined

Syllabus
Prerequisites: Physics, Electronics, Electrotechnics
Target skills and knowledge: The course aims to provide students with basic knowledge in the field of electronic measurement and instrumentation in automation. In particular in: - the design of a digital data acquisition system and all its parts, in particular: sensors, signal conditioning circuits, digital analogue converters; - the identification, analysis and resolution of the main problems in the use of acquisition and monitoring systems in the mechatronic field; - the knowledge and effective use of any measuring instrument or digital acquisition, with particular regard to: data acquisition circuits, multimeters, oscilloscopes and digital spectrum analysers; - interpretation of information and technical specifications concerning instruments and components of the acquisition and measurement chain; - interpretation and expression of measurement results according to the current standards.
Examination methods: The expected knowledge and skills are checked by means of a written examination and an oral test. The written test consists of an exercise concerning the design of a data acquisition/measurement system. The theme consists of a short introductory text, a diagram, some initial parameters and a number of small questions typically between 20 and 30. For each of the questions the student is asked to carry out accounts and to provide a numerical result. The time available for the theme is 2 hours. The oral examination consists of a 20-minute interview on two subjects. The interview is carried out through questions, some open, others more specific, on aspects concerning the two topics chosen by the teacher.
Assessment criteria: The acquired knowledge and skills is assessed through the following criteria: - completeness of theoretical knowledge acquired on the course topics; - ability to apply theoretical knowledge to the design of a system of measurement/acquisition of data, measurement of quantities and signals, interpretation and expression of the results of a measurement; - ability to display, summarize and strictly deal with and present the issues.
Course unit contents: The specific contents of the course can be summarized in the following points: - the concept of measurement and the importance of measurements within an automation system; - the architecture of a generic measurement tool/digital data acquisition system; - the elements of a generic acquisition system: sensors, signal conditioning, multiplexers, digital analogue converter (ADC); - non-idealities and parameters of an ADC; - the main families of ADCs: and the main families of digital measuring instruments: digital voltmeters (DVM), digital multimeters (DMM), digital oscilloscopes (DSO), digital spectrum analysers (DSA). Their setting and use in industrial automation applications; -voltage probes; - expression of a measurement result, evaluation and expression of measurement uncertainty.
Planned learning activities and teaching methods: The course is provided through lectures and laboratory exercises: - in lectures the teacher presents the subject trying to highlight in a particular way: the most important concepts of the subjects dealt with, their application in the context of mechatronics, their connection with other subjects of the same teaching or other courses; - with the laboratory, the student has the possibility to verify in practice what is tought in the lesson and to acquire a more concrete and solid familiarity with the concepts provided; - personal study allows the student to go into depth of what is learned in the lesson, or experienced in the laboratory.
Additional notes about suggested reading: The basic teaching material consists of: - the course book, of the teacher, including all the theoretical topics covered; - the exercise booklet, of the teacher, in preparation for the written exam; - the laboratory guide, of the teacher, as a guide to laboratory exercises. All books are available online; - lesson blackboards (photographs) available to students online on the same day of the lesson (3 blackboards per lesson)
Textbooks (and optional supplementary readings)
  • M. Bertocco, A. Sona, Introduzione alle Misure Elettroniche. USA: Lulu Press, 2010. Disponibile online: www.lulu.com Cerca nel catalogo
  • A. Sona, Guida al laboratorio di misure per l'automazione. USA: Lulu Press, 2012. Disponibile online: www.lulu.com Cerca nel catalogo
  • A. Sona, Esercizi di misure per l'automazione. USA: Lulu Press, 2012. Disponibile online: www.lulu.com Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Laboratory
  • Questioning
  • Story telling
  • Auto correcting quizzes or tests for periodic feedback or exams

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)

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