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   activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
3 modules among the following
6
C
ING-INF/04 ,MED/50
6
C
ING-INF/06
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
24
E
-
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
3 modules among the following
6
C
ING-INF/04 ,MED/50
6
C
ING-INF/06
6
C
ING-INF/06 ,MED/37
6
C
INF/01
6
C
INF/01 ,MED/50
6
C
MAT/07
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

Medical Robotics  (It will be activated in the A.Y. 2025/2026)

Teaching code

4S012370

Credits

6

Scientific Disciplinary Sector (SSD)

 - 

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.

Educational offer 2025/2026

ATTENTION: The details of the course (teacher, program, exam methods, etc.) will be published in the academic year in which it will be activated.
You can see the information sheet of this course delivered in a past academic year by clicking on one of the links below: