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 A.A. 2020/2021 A.A. 2019/2020 A.A. 2018/2019 A.A. 2017/2018 A.A. 2016/2017 A.A. 2015/2016 A.A. 2014/2015 A.A. 2013/2014 A.A. 2012/2013 A.A. 2011/2012 A.A. 2010/2011 A.A. 2009/2010

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 in Informatica - 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.

1° Year

ModulesCreditsTAFSSD
6
C
MAT/01
6
A
MAT/02
12
A
MAT/05
12
A
ING-INF/05
6
C
MAT/06
12
A
INF/01
English B2
6
E
-

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

ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
6
A
FIS/01
6
B
INF/01
6
C
MAT/01
6
B
INF/01
12
B
ING-INF/05

3° Year  It will be activated in the A.Y. 2026/2027

ModulesCreditsTAFSSD
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
C
INF/01
Un insegnamento a scelta
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
FIS/01
6
C
INF/01
6
C
INF/01
Final exam
6
E
-
It will be activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
12
B
INF/01
12
B
INF/01
6
A
FIS/01
6
B
INF/01
6
C
MAT/01
6
B
INF/01
12
B
ING-INF/05
It will be activated in the A.Y. 2026/2027
ModulesCreditsTAFSSD
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
C
INF/01
Un insegnamento a scelta
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
FIS/01
6
C
INF/01
6
C
INF/01
Final exam
6
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
Training
6
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   (It will be activated in the A.Y. 2026/2027)

Teaching code

4S012330

Credits

6

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICA

Learning objectives

The course aims to provide the theoretical and methodological tools necessary for understanding and solving problems relating to signal and image processing. At the end of the course, the student will have to: Demonstrate knowledge and understanding of the methodologies and problems relating to signal and image processing and the approaches to the related solutions; Know how to apply the knowledge acquired in order to identify the most suitable methodologies for solving image processing problems and to build and implement the algorithms that allow them to be solved; Be able to evaluate, compare and choose between different methodologies to address a signal and image processing problem; Know how to argue in a technical and precise way the functioning of methodologies for the solution of problems relating to signal and image processing; Be able to broaden analytical and critical skills in the field of signal and image processing that allow to independently delve into theoretical and practical problems.