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

A.A. 2024/2025 A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022

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 2025/2026

The 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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
9
A
MAT/03
6
A
MAT/05
12
C
BIO/09 ,BIO/16
9
B
ING-INF/05
6
A
CHIM/07
12
A
INF/01
6
A
FIS/01

2° Year   activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
12
A
MAT/05 ,MAT/07
9
B
ING-IND/13
6
A
FIS/01
12
B
ING-INF/01
9
B
ING-INF/06
6
C
ING-IND/22

3° Year   activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
1 MODULE TO BE CHOSEN BETWEEN THE FOLLOWING
6
C
ING-INF/05
6
C
ING-INF/06
6
C
ING-IND/06
6
C
ING-INF/05
6
C
ING-INF/06
6
C
ING-INF/05
6
C
ING-INF/06
6
C
MED/33 ,M-EDF/02
6
C
BIO/09 ,MED/01
6
C
MED/18 ,MED/37
6
C
ING-INF/05
6
C
ING-INF/05
6
C
ING-INF/05
6
C
M-FIL/03 ,M-PSI/08
6
B
ING-INF/05
6
B
ING-INF/04
6
B
ING-IND/34
6
C
ING-INF/04
3
E
-
6
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
12
D
-
Between the years: 2°- 3°
Altre attività formative: lo studente può scegliere tra le 2 seguenti opzioni: a) 2 CFU di seminari al 2 anno e 7 CFU di tirocinio al 3 anno oppure b) 9 CFU di tirocinio al 3 anno.
7
F
-
9
F
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Sensor network and wearable devices  (2023/2024)

Teaching code

4S009889

Teacher

Graziano Pravadelli

Coordinator

Graziano Pravadelli

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

Semester 2 dal Mar 4, 2024 al Jun 14, 2024.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

The course aims to provide technical knowledge on the components underlying remote monitoring and control applications for prevention, coaching, treatment and rehabilitation. At the end of the course the student will have to demonstrate the ability to understand the problems of miniaturization, robustness, energy consumption and reliability at the basis of human-centered monitoring and control applications and the ability to apply the knowledge related to personal area networks and wearable devices. The students will also have to demonstrate that they have the necessary skills to continue their studies independently in the field of personal area networks and wearable devices.

Prerequisites and basic notions

Principles of computer networks

Program

Theory
- IoT and sensor networks
- HW components
- Network architecture
- Time synchronization
- Energy management
- Security and privacy
Laboratory
- Presentation of the tools for the exercises
- Introduction to the use of Nordic Thingy 52
- Set up of the Python environment for IoT projects
- Management of the BLE protocol in Python
- Data collection in JSON format with MongoDB - Streamlit library
- Synchronization of a Body Area Network
- Implementation of a Wireless Body Area Network
- Introduction to the use of Edge Impulse and Nordic Thingy 53
- Definition of a pipeline for human activity recognition

Bibliography

Vai alla bibliografia
Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

Teaching will be organized in lectures, exercises and self-assessment activities.

Learning assessment procedures

The exam consists of a written test containing questions and exercises.
It is also possible, but not mandatory, to carry out:
- the presentation of an in-depth study in the field of sensor networks and wearable devices;
- the development of a web/mobile application based on sensor networks and wearable devices; - the configuration and analysis of a simulator for sensor networks and smart objects.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Evaluation criteria

To pass the exam, students must demonstrate they:
- Understand the principles underlying the architecture and operation of a sensor network, the related communication protocols, and the main types of wearable devices necessary for the development of remote monitoring and control systems for humans and objects.
- Are able to present their knowledge in a precise and organic way without digressions.
- Knowing how to apply the acquired knowledge to solve application problems presented in the form of exercises, questions and projects.

Criteria for the composition of the final grade

The written test is passed with a grade greater than or equal to 18/30 and allows you to obtain a maximum grade of 30/30.
The optional part allows you to obtain up to 4/30 points to be added to the score of the written test.

Exam language

Italiano

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