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.

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 Bioinformatica - 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
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English language competence-complete b1 level
6
E
-

2° Year  activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18

3° Year  activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
One course to be chosen among the following
Other activitites
3
F
-
Prova finale
3
E
-
ModulesCreditsTAFSSD
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English language competence-complete b1 level
6
E
-
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
One course to be chosen among the following
Other activitites
3
F
-
Prova finale
3
E
-

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S003710

Credits

12

Coordinator

Gloria Menegaz

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Segnali teoria

Credits

4

Period

I semestre

Academic staff

Gloria Menegaz

Segnali laboratorio

Credits

2

Period

I semestre

Academic staff

Gloria Menegaz

Immagini teoria

Credits

4

Period

II semestre

Academic staff

Alessandro Daducci

Immagini laboratorio

Credits

2

Period

II semestre

Academic staff

Alessandro Daducci

Learning outcomes

The purpose of the course is to introduce the main theoretical and practical tools that are necessary for signal and image processing, including both natural and medical images.
At the end of the course, the students will be able to apply the methodologies studied and employ image processing software tools for tackling some typical tasks in the analysis of medical and biomedical images.

Program

PART1: SIGNALS
- Introduction to signal and image processing
- Elements of continuous time and discrete time systems
- Fourier transform (Fourier series, continuous and discrete time Fourier transforms (DFT, FFT)) in one dimension
- Nyquist theorem
- Quantization
- Digital filtering (low-pass, high-pass, linear, non-linear)
- Fourier transform (Fourier series, continuous and discrete time Fourier transforms (DFT, FFT)) in two dimensions
- Image enhancement in spatial and frequency domains
- Image segmentation (edge-based, region-based)
- Applications

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Segnali teoria W.K. Pratt Digital Image Processing (Edizione 4) Wiley Interscience 2007 978-0-471-76777-0
Segnali teoria Rafael C. Gonzalez and Richard E. Woods Digital Image Processing (Edizione 4) Prentice Hall College Div 2017 0133356728
Segnali teoria B.P. Lathi Signal Processing and Linear Systems Berkeley-Cambridge 1998 0-941413-35-7

Examination Methods

The lab. exam consists in an exercise to be implemented in Matlab. This does not contribute to the final score. The theory exam is in written form.
Both the exams must be passed during the same examination session.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE