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

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.

1° Year

ModulesCreditsTAFSSD
6
A
MAT/02
6
A
MAT/05
6
C
BIO/13
6
B
ING-INF/05
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
12
A
INF/01
English B2
6
E
-

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

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
6
C
BIO/10
12
B
INF/01 ,ING-INF/05
6
C
BIO/18
6
A
INF/01
1 module among the following
6
C
FIS/07
6
C
BIO/09
6
C
BIO/11
6
A
MAT/06

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

ModulesCreditsTAFSSD
12
C
BIO/10
12
B
INF/01
12
B
INF/01
1 module among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
Final exam
3
E
-
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/11
6
C
BIO/10
12
B
INF/01 ,ING-INF/05
6
C
BIO/18
6
A
INF/01
1 module among the following
6
C
FIS/07
6
C
BIO/09
6
C
BIO/11
6
A
MAT/06
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
12
C
BIO/10
12
B
INF/01
12
B
INF/01
1 module among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
Final exam
3
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
Further activities
3
F
-
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

Signal and image processing II  (Not provided 2025/2026)

Teaching code

4S008226

Credits

6

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICA

Learning objectives

The aim of the course is to provide students with the fundamental concepts and tools in order to apply advanced signal and image processing techniques in clinical studies based on imaging. The students will learn how to employ the most suitable algorithms and software tools to be able to solve the most typical problems that may arise in imaging studies.

Educational offer 2024/2025

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: