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 Informatica - Enrollment from 2025/2026
Academic year:
1° periodo di lezioni From 9/30/19 To 12/14/19
years Modules TAF Teacher
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinator)
I semestre From 10/1/19 To 1/31/20
years Modules TAF Teacher
Control theory D Riccardo Muradore (Coordinator)
Biomedical Data and Signal Processing D Silvia Francesca Storti (Coordinator)
Python programming language D Maurizio Boscaini (Coordinator)
II semestre From 3/2/20 To 6/12/20
years Modules TAF Teacher
CyberPhysical Laboratory D Andrea Calanca (Coordinator)
C++ Programming Language D Federico Busato (Coordinator)
LaTeX Language D Enrico Gregorio (Coordinator)
Matlab-Simulink programming D Bogdan Mihai Maris (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Corso Europrogettazione D Not yet assigned
The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. D Matteo Cristani

Teaching code

4S000019

Credits

6

Coordinator

Marco Cristani

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria

Credits

4

Period

I semestre

Academic staff

Marco Cristani

Laboratorio [II turno]

Credits

2

Period

I semestre

Academic staff

Marco Cristani

Laboratorio [I turno]

Credits

2

Period

I semestre

Academic staff

Marco Cristani

Learning outcomes

The course is meant to the acquisition of the main theoretical and practical tools that are necessary for signal and image processing. In particular the course focuses on Fourier (time/frequency) analysis, linear time-invariant systems and digital filtering. The whole pipeline from signal and image acquisition will be considered, and the main theorethical and practical aspects will be treated.
Laboratory sessions will be organized in order to "put in practice" what is treated in the course covering the entire pipeline in order to provide the student a complete view on the pipeline as well as good desing and implementation capabilities.

Program

- Introduction to the signal and image processing
- Preliminary mathematics
- Signals and their taxonomy
- Fourier analysis, 1D and 2D
- Methods for improving image quality (image enhancement) in both the spatial and frequency domains
- Extraction of image contours
- Extraction of image regions
- Morphological operators
- Representation and processing of color images

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria Rafael C. Gonzalez and Richard E. Woods Digital Image Processing (Edizione 4) Prentice Hall College Div 2017 0133356728

Examination Methods

Written with evaluation of Lab sessions.

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