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:

Bachelor's degree in Human Centered Medical System Engineering - 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
Medical system seminars (1st year)
1
F
-

2° Year   activated in the A.Y. 2024/2025

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
Medical system seminars (2nd year)
1
F
-

3° Year   activated in the A.Y. 2025/2026

ModulesCreditsTAFSSD
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
1 module among 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
English B2
3
E
-
7
F
-
Final exam
6
E
-
activated in the A.Y. 2024/2025
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
Medical system seminars (2nd year)
1
F
-
Modules Credits TAF SSD
Between the years: 2°- 3°
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

Introduction to robotics and its applications to surgery  (2025/2026)

Teaching code

4S009874

Teacher

Andrea Roberti

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

2nd semester dal Mar 2, 2026 al Jun 12, 2026.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

Aim of this course is to give students the basic concepts of robotic surgery, where a robot is in direct contact with a human operator or may be guided from distance. Several real systems belong to this specific situation, such as teleoperation systems, tele-driving systems, and rehabilitation systems.
In the first part we will address the basic methods for the interaction analysis of robots with the environment and with the operator, including basic concepts of kinematics and dynamics.
Furthermore, we will present more specific topics related with the planning of the surgical procedure through medical images analysis, computation of the trajectory and guidance of the robot during a procedure through intra-operative imaging support.

Prerequisites and basic notions

The course requires knowledge of Mathematical Analysis I, Linear Algebra and Geometry, Fundamentals of Computer Science. Programming knowledge is also required.

Program

Basics of Robotics I: Review of rigid bodies, elementary matrices, rotation, translation and quaternions. Reference systems. Basics of Robotics II: Kinematics of serial robots (direct, inverse) Basics of Robotics III: Kinematics of parallel robots (direct, inverse) Basics of Robotics IV: Sensors Knowledge transfer: top-down and bottom-up Basic technical notions on endoscopes and instruments Imaging techniques: preoperative images (MR/CT), ultrasound Segmentation of medical images Tracking: from mechanical movement to ultrasound techniques Calibration: from sensor calibration to calibration with the robot Registration: image-to-device, inter-device and intra-device ------------------------------------------------------------------------------ Programming tools in Python environment, simulation software and medical software

Didactic methods

The course will consist of classroom lectures, with sharing of slides and in-depth material.
There will also be the possibility of following the lessons in streaming.

Learning assessment procedures

The final grade will be determined by a written test and an oral presentation of the project.

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

At the end of the course the student must demonstrate:
1. having a critical vision of the topics covered during the course and of the results obtained from the application of specific methods;
2. being able to apply the knowledge acquired to appropriately solve certain engineering problems with varying degrees of complexity;
3. having achieved a good level of competence in the use of computer tools for the design of robotic devices, also through the use of simulation software.

Exam language

Italiano