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:

Bachelor's degree in Computer Science - 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
A
MAT/02
6
A
MAT/05
12
A
ING-INF/05
6
A
FIS/01
6
A
MAT/01
6
C
MAT/06
12
A
INF/01
English B2
6
E
-

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

ModulesCreditsTAFSSD
12
B
INF/01
6
C
MAT/05
6
C
FIS/01
12
B
INF/01
6
B
ING-INF/05
6
C
ING-INF/04
12
B
ING-INF/05

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

ModulesCreditsTAFSSD
12
B
ING-INF/05
1 module among the following
6
C
INF/01
6
C
ING-INF/06
6
C
INF/01
6
C
INF/01
6
C
ING-INF/04
6
C
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
Final exam
6
E
-
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
12
B
INF/01
6
C
MAT/05
6
C
FIS/01
12
B
INF/01
6
B
ING-INF/05
6
C
ING-INF/04
12
B
ING-INF/05
activated in the A.Y. 2025/2026
ModulesCreditsTAFSSD
12
B
ING-INF/05
1 module among the following
6
C
INF/01
6
C
ING-INF/06
6
C
INF/01
6
C
INF/01
6
C
ING-INF/04
6
C
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
Final exam
6
E
-
Modules Credits TAF SSD
Between the years: 2°- 3°
12
D
-
Between the years: 2°- 3°
Training
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

Biomedical Data and Signal Processing  (Not provided 2025/2026)

Teaching code

4S008201

Credits

6

Scientific Disciplinary Sector (SSD)

ING-INF/06 - BIOINGEGNERIA ELETTRONICA E INFORMATICA

Learning objectives

The aim of this course is to provide the basic knowledge of methods and models for biomedical sig- nal and image processing, developing the ability to analyze and solve problems of interest, mainly in the biomedical field. Each technique presented will be accompanied by applications on simulated and real signals. At the end of the course, the student will be able to show knowledge of the main methods of biomedical signals and image processing. They will possess the ability to formulate, ana- lyze and solve problems of interest in bioengineering, through the acquired theoretical and practical basic knowledge. Finally, the student will be able to evaluate the traditional methods in the biomedical sciences in order to devise new approaches to methodological problems with clinical reversibility.