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

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 magistrale in Computer Engineering for intelligent Systems - 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
6
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/04
12
C
ING-INF/06

2° Year   It will be activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
3 modules among the following
6
C
ING-INF/06 ,MED/37
6
C
ING-INF/06
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
6
C
ING-INF/04 ,MED/50
24
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
3 modules among the following
6
C
ING-INF/06 ,MED/37
6
C
ING-INF/06
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
6
C
ING-INF/04 ,MED/50
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
4 modules among the following:
- 1st year: Advanced visual computing and 3d modeling, Computer vision, Embedded & IoT systems design, Embedded operating systems, Robotics 
- 2nd year: Advanced control systems
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°
12
D
-
Between the years: 1°- 2°
Further activities
6
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

Internet of medical things  (It will be activated in the A.Y. 2025/2026)

Teaching code

4S012373

Credits

6

Scientific Disciplinary Sector (SSD)

 - 

Learning objectives

The course is composed of two modules. The first, Fundamentals of Internet of Medical things provides knowledge relating to: •the main unmet diagnostic, prognostic and interventional needs (caregiving, nursing, pharmacological and non-pharmacological therapy) in neurological, neurodegenerative and geriatric pathologies, and in the neuro-rehabilitation field, with particular reference to the motor and cognitive aspects, which can be addressed through the use of wearable devices and smart devices attributable to the Internet of Medical Things (IoMT). •the analysis of the role of digital biomarkers obtained through IoMT devices in personalized medicine for diagnosis, prognosis and for monitoring pharmacological and non-pharmacological interventions. The second, IoMT applications, aims to develop skills that allow students to: •discuss with healthcare professionals the potential applications of telemedicine based on IoMT systems in the neurological, neurorehabilitative and geriatric fields •design telemedicine systems and develop remote controller applications based on IoMT devices.