First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
Course unit
INL1001630, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
IN0528, Degree course structure A.Y. 2014/15, A.Y. 2019/20
bring this page
with you
Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination INDUSTRIAL MEASUREMENTS
Department of reference Department of Industrial Engineering
E-Learning website
Mandatory attendance No
Language of instruction Italian
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

Teacher in charge MARCO PERTILE ING-IND/12

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines ING-IND/12 Mechanical and Thermal Measuring Systems 6.0
Educational activities in elective or integrative disciplines ING-INF/07 Electric and Electronic Measurement Systems 3.0

Course unit organization
Period First semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 9.0 72 153.0 No turn

Start of activities 30/09/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2014 course timetable

Examination board
Board From To Members of the board
11 A.A. 2019/2020 01/10/2019 30/11/2020 PERTILE MARCO (Presidente)
FANTI GIULIO (Membro Effettivo)
10 A.A. 2018/19 01/10/2018 30/11/2019 PERTILE MARCO (Presidente)
DEBEI STEFANO (Membro Effettivo)
FANTI GIULIO (Supplente)

Prerequisites: None
Target skills and knowledge: TARGET KNOWLEDGE – during the course the students are expected to learn:
• the main static and dynamical characteristics of a measurement system, useful for the selection of instruments;
• the fundamental tools of statistics for data analysis, for measurement uncertainty expression and evaluation, and for identification of outliers;
• the procedure for uncertainty evaluation according to the ISO Guide;
• the tools and techniques for the evaluation of the dynamical error of a measurement instrument;
• the main methods for static and dynamical calibration of a measurement instrument;
• the parameters, selection principles and main errors regarding the analog-to-digital conversion of a measurement signal;
• the fundamental elements of the main software packages for data analysis, measurement acquisition and instrument control using a PC;
• the principle of operation, metrological characteristics and advantages and drawbacks of the main instruments and sensors for the measurement of significant physical quantities, such as: strain and force/load; pressure; temperature with and without contact; fluid flow and velocity; acceleration; electrical quantities (DC and AC);
• the main disturbances to consider during the selection of a measurement system;
• the main methods for the frequency analysis of a measurement signal.
TARGET SKILLS – at the end of the course, the students, using a suitable PC software package, are expected to be able to:
• analyze measurement data using the main statistics tools;
• remove outliers in the acquired measurements;
• evaluate the measurement uncertainty from experimental data and/or prior knowledge according to the ISO Guide;
• perform a static calibration of a measurement system;
• perform a dynamical calibration of a measurement system;
• write a simple software code for the acquisition of a measurement signal and properly select the analog-to-digital conversion parameters;
• evaluate the dynamical error of a measurement instrument;
• analyze the frequency of a measurement signal.
Examination methods: The course comprises a mandatory written examination, one or more optional practical tests proposed during the course, an optional oral examination on student request:
• the written examination, lasting two hours, is conceived to verify the learning of the target knowledge and the achievement of the target skills, as described above, through three open-ended questions about both the contents described during class activities and the analysis and experimental procedures dealt with during laboratory activities;
• each optional practical test takes place in laboratory using a PC; the task assigned aims to verify the achievement of one or more of the expected skills listed above, and follows the exercises proposed in laboratory under the teacher guidance; each practical test consists of writing a code (routine) for the calculation and/or analysis of measurement data using Matlab and/or for the acquisition of a measurement signal using Labview. Each passed test contributes towards raising the final exam mark by a maximum of one point out of thirty;
• the optional oral examination can be requested by each student who got a pass mark in his written examination and comprises one or two open-ended questions of the same type as in the written examination. The oral examination can yield a maximum improvement or decrease of three points (3/30) with reference to the mark obtained in the written examination.
Assessment criteria: For both the written and oral examinations, the criteria are:
• knowledge and understanding of the course contents described during class activities and the experimental and analysis procedures dealt with during laboratory activities;
• completeness and correctness of acquired knowledge;
• completeness and rigor in the description of the experimental and analysis methods;
• appropriateness of employed technical terminology;
• ability to clearly and concisely discuss the topics.
For optional practical tests, the criteria are:
• completeness and correctness of the final solution;
• rigor in calculation, analysis and experimental methods;
• clarity in the drafting of the analysis and/or acquisition code;
• clarity and synthesis in the presentation of results.
Course unit contents: Fundamental definitions in measurement. Statistical analysis and inference from an experimental sample; statistical outlier removal. Uncertainty analysis according to the ISO Guide: uncertainty in direct measurements and its propagation for indirect measurements. Static characterization of instruments and static calibration. Dynamical characterization of instruments: Transfer function; Bode diagram; dynamical calibration; evaluation of dynamical errors. Acquisition and numerical elaboration of time varying measurement signals: analog to digital conversion; Fourier transform; aliasing and leakage errors. Loading effect and disturbances. Estimated length 34 hours.
Principle of operation and metrological characteristics of instruments for the measurement of significant physical quantities, such as: strain and force; temperature (contact and contactless); heat flow and thermal resistance; pressure; flow and local velocity in fluids; acceleration; CC and AC electrical quantities. Estimated length 30 hours.
Introduction to Matlab for data analysis and Labview for measurement acquisition. Estimated length 8 hours.
Planned learning activities and teaching methods: Class activities are planned to deal with the course contents, while laboratory activities and practical tests are conceived to apply the methods and procedures described in classroom. During the laboratory activities the students are divided in two work shifts (2-3 students for each PC) and employ PCs with Matlab and Labview software packages.
Additional notes about suggested reading: Reference books:
E. O. Doebelin, “Measurement Systems: Application and Design”, V ed., McGraw-Hill, New York, 2004
notes from the lectures and educational materials provided by the teacher (English material is available upon request)
Suggested bibliography:
R. S. Figliola, D.E. Beasley: “Theory and Design for Mechanical Measurements”,
Textbooks (and optional supplementary readings)
  • Doebelin, Ernest O.; Gasparetto, Michele; Cigada, Alfredo, Strumenti e metodi di misuraErnest O. Doebelinedizione italiana a cura di Alfredo Cigada, Michele Gasparetto. Milano [etc.]: McGraw-Hill, --. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Problem based learning
  • Case study
  • Interactive lecturing
  • Working in group
  • Questioning
  • Problem solving
  • Active quizzes for Concept Verification Tests and class discussions
  • Use of online videos
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Top Hat (active quiz, quiz)
  • Matlab
  • Labview.

Sustainable Development Goals (SDGs)
Quality Education