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.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I semestre | Oct 1, 2018 | Jan 31, 2019 |
| II semestre | Mar 4, 2019 | Jun 14, 2019 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Feb 1, 2019 | Feb 28, 2019 |
| Sessione estiva d'esame | Jun 17, 2019 | Jul 31, 2019 |
| Sessione autunnale d'esame | Sep 2, 2019 | Sep 30, 2019 |
| Session | From | To |
|---|---|---|
| Sessione Estiva | Jul 17, 2019 | Jul 17, 2019 |
| Sessione Autunnale | Nov 20, 2019 | Nov 20, 2019 |
| Sessione Invernale | Mar 17, 2020 | Mar 17, 2020 |
| Period | From | To |
|---|---|---|
| Sospensione attività didattica | Nov 2, 2018 | Nov 3, 2018 |
| Vacanze di Natale | Dec 24, 2018 | Jan 6, 2019 |
| Vacanze di Pasqua | Apr 19, 2019 | Apr 28, 2019 |
| Festa del Santo Patrono | May 21, 2019 | May 21, 2019 |
| Vacanze estive | Aug 5, 2019 | Aug 18, 2019 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
045 802 7823
mariacaterina.baruffi@univr.it
maurizio.boscaini@univr.it
rossana.capuani@univr.it
vittoria.cozza@univr.it
chiara.nardon@univr.it
claudio.tomazzoli@univr.it
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
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2019/2020
| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen among the following3° Year activated in the A.Y. 2020/2021
| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen among the following| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen among the following| Modules | Credits | TAF | SSD |
|---|
1 module to be chosen among the followingLegend | 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.
Signal and image processing II (2020/2021)
Teaching code
4S008226
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
The teaching is organized as follows:
Teoria
Laboratorio
Program
TEORIA
- Richiami dei concetti fondamentali di segnali e immagini in ambito biomedico
- Metodi di miglioramento della qualità e restauro di immagini (es. HDR imaging, Wiener)
- Estrazione di features (es. Canny, Hough)
- Estrazione di regioni da immagini (es. Watershed, region growing, snakes)
- Operatori morfologici
- Registrazione/allineamento di immagini
- Algoritmi di compressione per immagini
LABORATORIO
Durante le sessioni di laboratorio verranno approfondite alcune delle metodologie analizzate durante le lezioni di teoria e verranno risolti problemi di elaborazione di segnali e immagini principalmente mediante l'uso di MATLAB. Ciascuna sessione prevede una parte iniziale, guidata dal docente, dove poter sperimentare ed approfondire gli argomenti visti a teoria tramite algoritmi già implementati in MATLAB, seguita da una parte in cui si dovranno implementare alcuni degli algoritmi visti a lezione.
Examination Methods
L'esame consiste in una prova di teoria ed in una prova di laboratorio; le due prove contribuiranno rispettivamente per 2/3 e 1/3 al voto finale.
Obiettivo della prova di teoria è quello di accertare la comprensione dei contenuti e la capacità di elaborare tali contenuti in relazione sia a generalizzazioni di casi presentati durante il corso sia all’applicazione a problemi specifici. La prova di teoria consiste sia di domande aperte che di esercizi. Tale prova sarà svolta in forma scritta se l'esame viene svolto in presenza e in forma orale se svolto in via telematica.
Obiettivo della prova di laboratorio è accertare l’acquisizione degli strumenti e delle metodologie necessarie alla risoluzione di esercizi e casi di studio. La prova consiste sia di esercizi da risolvere utilizzando funzioni esistenti in MATLAB sia nell'implementazione di alcuni algoritmi visti a lezione.
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Tutoring faculty members
Graduation
Attendance modes and venues
As stated in the Teaching Regulations, attendance at the course of study is not mandatory.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.
