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. 2026/2027 A.A. 2025/2026

This information is intended exclusively for future freshmen who will enroll for the 2025/2026 academic year.
If you are already enrolled in this course of study, consult the information available on the course page:

Master's Degree in in Computer Engineering for Intelligent Systems - Enrollment until 2024/2025

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
6
B
ING-INF/04
6
B
ING-INF/05
12
B
ING-INF/05
12
C
ING-INF/06

2° Year   It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
Final exam
24
E
-
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
4 modules among:
- 1st year - Embedded operating systems, Embedded & IoT Systems design, Robotics, Computer vision, Advanced visual computing and 3D modeling - delivered in 2025/2026
- 2nd year - Advanced control systems - delivered in 2026/2027
6
B
ING-INF/04
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/04
6
B
ING-INF/05
Between the years: 1°- 2°
3 modules among:
- 2nd year -  Advanced methods for biomedical signal processing, Neurohealth, Medical robotics, Internet of Medical things - delivered in 2026/2027
- 1st or 2nd year - Mathematical modeling for Industrial and medical digital twins, Cloud computing and distributed systems - delivered in 2025/2026 or in 2026/2027
6
C
ING-INF/06
6
C
ING-INF/04 ,MED/50
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
Between the years: 1°- 2°
Further activities
6
F
-
Between the years: 1°- 2°
12
D
-

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

Internet of medical things (2026/2027)

Teaching code

4S012373

Credits

6

Coordinator

Stefano Tamburin

Language

English en

Courses Single

Authorized

Seminars 0

The teaching is organized as follows:

FUNDAMENTALS OF INTERNET OF MEDICAL THINGS en

Credits

4

Period

II semestre

Academic staff

Stefano Tamburin

Lessons timetable
IoMT APPLICATIONS en

Credits

2

Period

II semestre

Academic staff

Stefano Tamburin

Lessons timetable

Learning objectives

The course is organised into two modules. The first aims to provide skills on the main unmet diagnostic, prognostic and interventional needs (caregiving, nursing, pharmacological and non-pharmacological therapy) in neurological, neurodegenerative and geriatric diseases, and in the field of neurorehabilitation, with particular reference to motor and cognitive aspects, which can be addressed through the use of wearable devices and smart devices related to the Internet of Medical Things (IoMT). It also analyses the role of digital biomarkers obtained through IoMT devices in personalised medicine for diagnosis, prognosis and monitoring of pharmacological and non-pharmacological interventions. 
The second module aims to develop students' ability to discuss with healthcare professionals the potential applications of telemedicine based on IoMT systems in the neurological, neurorehabilitation and geriatric fields and to design telemedicine systems and remote control applications based on IoMT devices.