Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea interateneo in Ingegneria dei sistemi medicali per la persona - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2024/2025
| Modules | Credits | TAF | SSD |
|---|
1 module among the following| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 module among the following| Modules | Credits | TAF | SSD |
|---|
Altre attività formative: lo studente può scegliere tra le 2 seguenti opzioni:
a) 2 CFU di seminari - di cui 1 CFU al 1 anno e 1 CFU al 2 anno - e 7 CFU di tirocinio al 3 anno;
b) 9 CFU di tirocinio al 3 anno. Non sono previste ulteriori opzioni.Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Methods, measurement techniques and sensors (2024/2025)
Teaching code
4S009924
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
ING-INF/07 - ELECTRICAL AND ELECTRONIC MEASUREMENT
Period
Semester 1 dal Oct 1, 2024 al Jan 31, 2025.
Courses Single
Authorized
Learning objectives
The course aims to provide students with the necessary knowledge for the selection and performance evaluation of the different types of sensors, and the fundamental notions related to measurement systems and methods. The essential knowledge related to the evaluation of the measurement uncertainty and to the description and characterization of the components of measurement and data acquisition systems will be developed: sensors and transducers, signal conditioning, data conversion and representation, with a particular reference to the biomedical field. Modern virtual instrumentation techniques for the analysis of signals acquired by advanced acquisition systems will also be discussed. On completion of the course, students will possess adequate and autonomous skills with respect to the analysis and characterization of a measurement system for biomedical applications.
Prerequisites and basic notions
In order to attend this course, students must possess the fundamental knowledge of physics, mathematics and analogue electronics acquired in previous courses. These skills are indispensable for understanding the concepts and applications of the subject matter covered in the course.
Program
The course is divided into 3 main parts:
OVERVIEW OF ANALOGUE ELECTRONICS
Operational amplifiers: ideal operating principle (and hints at non-idealities). Basic configurations: inverting/non-inverting, summing, follower, differential, etc. Use of op-amps in the realisation of filters: low-pass, high-pass and first-order band-pass. Signal conditioning.
FUNDAMENTALS OF ELECTRONIC MEASUREMENTS
Definitions of Metrology and the International System. Fundamentals of measurement theory: reminder of statistics. Statistical analysis of repeated test results. Evaluation and propagation of the uncertainty of a measurement. Examples of measurement uncertainty assessment applied to measurements of voltmeters, aperometers and resistors.
SENSORS
The sensor model and its static and dynamic characteristics. Scheme of an acquisition system and signal conditioning. Thermal, pressure and strain sensors.
Bibliography
Didactic methods
The main teaching modality will be face-to-face lectures. Lectures of the course will be conducted mainly in person, even though some of them will be online lectures.
Students are strongly advised to attend lectures, which involve explaining theory and performing exercises.
The exercises carried out during the lectures are designed to allow students to consolidate their theoretical knowledge and develop their practical problem-solving skills.
To study and prepare for the exam, students are encouraged to use the provided course materials to solve the proposed exercises, and to supplement the explanations provided with the study of the recommended textbooks.
Learning assessment procedures
The examination consists of an oral test that will be given in person.
The test will cover the entire program and will consist mainly of open-ended questions, but may also require the execution of numerical passages or the solution of simple exercises.
Evaluation criteria
The exam is aimed at assessing theoretical knowledge, problem-solving skills and critical reasoning skills on the study carried out and acquired during the course.
To pass the exam, students are expected to prove that they:
- Have understood the principles underlying metrology and electronic measurements, sensor data acquisition systems, signal conditioning and the operation of the main types of sensors
- Be able to state their arguments accurately and organically without digressions.
- Be able to apply acquired knowledge to solve application problems presented in the form of exercises and/or questions.
Criteria for the composition of the final grade
The oral exam is the only evaluation element.
Exam language
Italiano
Sustainable Development Goals - SDGs
This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability
