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

Medical Robotics (2026/2027)

Teaching code

4S012370

Credits

6

Coordinator

Francesco Visentin

Language

English en

Courses Single

Authorized

Seminars 0

The teaching is organized as follows:

MEDICAL ROBOTICS en

Credits

5

Period

I semestre

Academic staff

Francesco Visentin

Lessons timetable
ROBOTICS IN HEALTHCARE en

Credits

1

Period

I semestre

Academic staff

Andrea Ruzzenente

Lessons timetable

Learning objectives

The course is composed of two modules: the first aims to develop skills that allow students to: discuss with healthcare professionals the potential applications of robotic systems in surgery and rehabilitation and understand the stakehllder requirements and translate them in technical specifications. The second, "Medical Robotics", aims to provide basic knowledge on the use of robotic systems in the medical field and in particular in surgery, rehabilitation and diagnostics. The main solutions in the commercial and research fields will be presented and explained from a hardware and software point of view. At the end of the course the student will have to demonstrate the ability to apply the acquired knowledge to model and analyze the properties of a robotic system for surgery, rehabilitation and diagnostics. Must possess the ability to define the technical specifications to design the control system of a robotic system for medical use and be able to work with other engineers (e.g. electronic, automatic, mechanical) to create complex electromechanical systems. S/he must show the ability to continue the studies independently in the design of control systems for medical systems.