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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
I semestre Oct 1, 2020 Jan 29, 2021
II semestre Mar 1, 2021 Jun 11, 2021
Exam sessions
Session From To
Sessione invernale d'esame Feb 1, 2021 Feb 26, 2021
Sessione estiva d'esame Jun 14, 2021 Jul 30, 2021
Sessione autunnale d'esame Sep 1, 2021 Sep 30, 2021
Degree sessions
Session From To
Sessione Estiva Jul 19, 2021 Jul 19, 2021
Sessione Autunnale Oct 19, 2021 Oct 19, 2021
Sessione Autunnale Dicembre Dec 7, 2021 Dec 7, 2021
Sessione Invernale Mar 17, 2022 Mar 17, 2022
Holidays
Period From To
Festa dell'Immacolata Dec 8, 2020 Dec 8, 2020
Vacanze Natalizie Dec 24, 2020 Jan 3, 2021
Epifania Jan 6, 2021 Jan 6, 2021
Vacanze Pasquali Apr 2, 2021 Apr 5, 2021
Festa del Santo Patrono May 21, 2021 May 21, 2021
Festa della Repubblica Jun 2, 2021 Jun 2, 2021

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.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

A B C D F G L M N O P R S T V Z

Angeleri Lidia

symbol email lidia.angeleri@univr.it symbol phone-number 045 802 7911

Astegno Alessandra

symbol email alessandra.astegno@univr.it symbol phone-number 045802 7955

Ballottari Matteo

symbol email matteo.ballottari@univr.it symbol phone-number 045 802 7823

Betterle Nico

symbol email nico.betterle@univr.it symbol phone-number +39 045 8027871

Bicego Manuele

symbol email manuele.bicego@univr.it symbol phone-number +39 045 802 7072

Canevari Giacomo

symbol email giacomo.canevari@univr.it symbol phone-number +390458027979

Capaldi Stefano

symbol email stefano.capaldi@univr.it symbol phone-number +39 045 802 7907

Carra Damiano

symbol email damiano.carra@univr.it symbol phone-number +39 045 802 7059

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985

Cozza Vittoria

symbol email vittoria.cozza@univr.it

Cristani Matteo

symbol email matteo.cristani@univr.it symbol phone-number 045 802 7983

Daducci Alessandro

symbol email alessandro.daducci@univr.it symbol phone-number +39 045 8027025

Dall'Alba Diego

symbol email diego.dallalba@univr.it symbol phone-number +39 045 802 7074

Della Libera Chiara

symbol email chiara.dellalibera@univr.it symbol phone-number +39 0458027219

Delledonne Massimo

symbol email massimo.delledonne@univr.it symbol phone-number 045 802 7962; Lab: 045 802 7058

Dell'Orco Daniele

symbol email daniele.dellorco@univr.it symbol phone-number +39 045 802 7637

Dominici Paola

symbol email paola.dominici@univr.it symbol phone-number 045 802 7966; Lab: 045 802 7956-7086

D'Onofrio Mariapina

symbol email mariapina.donofrio@univr.it symbol phone-number 045 802 7801

Drago Nicola

symbol email nicola.drago@univr.it symbol phone-number 045 802 7081

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963

Franco Giuditta

symbol email giuditta.franco@univr.it symbol phone-number +39 045 802 7045

Fummi Franco

symbol email franco.fummi@univr.it symbol phone-number 045 802 7994

Giachetti Andrea

symbol email andrea.giachetti@univr.it symbol phone-number +39 045 8027998

Giacobazzi Roberto

symbol email roberto.giacobazzi@univr.it symbol phone-number +39 045 802 7995

Ginesi Michele

symbol email michele.ginesi@univr.it

Giorgetti Alejandro

symbol email alejandro.giorgetti@univr.it symbol phone-number 045 802 7982

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937

Liptak Zsuzsanna

symbol email zsuzsanna.liptak@univr.it symbol phone-number +39 045 802 7032

Marino Valerio

symbol email valerio.marino@univr.it symbol phone-number +39 045 802 7227

Maris Bogdan Mihai

symbol email bogdan.maris@univr.it symbol phone-number +39 045 802 7074

Masini Andrea

symbol email andrea.masini@univr.it symbol phone-number 045 802 7922

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024

Migliorini Sara

symbol email sara.migliorini@univr.it symbol phone-number +39 045 802 7908

Monti Francesca

symbol email francesca.monti@univr.it symbol phone-number 045 802 7910

Nardon Chiara

symbol email chiara.nardon@univr.it

Oliboni Barbara

symbol email barbara.oliboni@univr.it symbol phone-number +39 045 802 7077

Posenato Roberto

symbol email roberto.posenato@univr.it symbol phone-number +39 045 802 7967

Pravadelli Graziano

symbol email graziano.pravadelli@univr.it symbol phone-number +39 045 802 7081

Rizzi Romeo

symbol email romeo.rizzi@univr.it symbol phone-number +39 045 8027088

Sala Pietro

symbol email pietro.sala@univr.it symbol phone-number 0458027850

Spoto Nicola Fausto

symbol email fausto.spoto@univr.it symbol phone-number +39 045 8027940

Storti Silvia Francesca

symbol email silviafrancesca.storti@univr.it symbol phone-number +39 045 802 7850

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it

Trabetti Elisabetta

symbol email elisabetta.trabetti@univr.it symbol phone-number 045/8027209

Villa Tiziano

symbol email tiziano.villa@univr.it symbol phone-number +39 045 802 7034

Zivcovich Franco

symbol email franco.zivcovich@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

ModulesCreditsTAFSSD
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English B1 level
6
E
-

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module among the following
6
C
FIS/07

3° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
Final exam
3
E
-
ModulesCreditsTAFSSD
12
C
CHIM/03 ,CHIM/06
6
A
FIS/01
English B1 level
6
E
-
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
12
B
INF/01
6
C
BIO/18
1 module among the following
6
C
FIS/07
Modules Credits TAF SSD
Between the years: 2°- 3°
Between the years: 2°- 3°
Other activities
3
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.




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

Teaching code

4S008228

Credits

12

Coordinator

Gloria Menegaz

Language

Italian

The teaching is organized as follows:

SEGNALI E IMMAGINI I

Credits

6

Period

See the unit page

Academic staff

See the unit page

RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA

Credits

6

Period

See the unit page

Academic staff

See the unit page

Learning objectives

The aim of the course is to provide the theoretical and practical foundations of data processing and modeling in the field of bioinformatics, with particular emphasis on signal and image processing and pattern recognition. The course comprises two modules as detailed below. Module1 (Pattern Recognition): This module is aimed at providing the theoretical and applicative bases of Pattern Recognition, a class of automatic methodo-logies used to recognize and recover information from biological data. In particular, during the course the main techniques of this area will be presented and discussed, in particular linked to representa-tion, classification, clustering and validation. The focus is more on the description of the employed methodologies rather than on the details of applicative programs (already seen in other courses). Af-ter attending the course, the students will be able to analyse a biological problem from a Pattern Recognition perspective; they will also have the skills needed to invent, develop and implement the dif-ferent components of a Pattern Recognition System. Module2 (Signal and image processing 1): The course aims at providing the students with the fundamentals of signal and image processing with the emphasis on aspects that are relevant in the field of bioinformatics at both theoretical and practical levels. At the end of the course the students will be able to analyze the typical signal and image processing problems encountered in bioinformatics as well as to devise and implement suitable solutions grounding on the knowledge gained in the theory sessions and using the main available toolboxes.

Prerequisites and basic notions

Foundations of functional analysis.
Basic knowledge of probability and mathematics

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Criteria for the composition of the final grade

To pass the exam, the student must prove:
- the ability to clearly and concisely describe the different components of a Pattern Recognition System
- the ability to analise, understand and describe a Pattern Recognition system (or a given part of it) relative to a biological problem
- the ability to analyze the typical signal and image processing problems encountered in bioinformatics as well as to devise and implement suitable solutions grounding on the knowledge gained in the theory sessions and using the main available toolboxes;
- the ability to describe the concepts in a clear and exhaustive way;
- the ability to apply the acquired knowledge to solve application scenarios described by means of questions and exercises.

The exam of INFORMATION RETRIEVAL AND SIGNAL AND IMAGE PROCESSING FOR BIOINFORMATICS consists of two parts:
i) a written exam of INFORMATION RETRIEVAL containing questions on topics presented during the course (30 points available). The (i) written part is passed if the grade is greater or equal to 18;
ii) a written exam of SIGNAL AND IMAGE PROCESSING consisting in questions concerning the topics of both the theory and the laboratory sessions, with respective weight of 1/2 and one exercise (15 punti). In case the exam would be in teleconference mode the exam would be be in oral form.

The two parts of the exam can be passed separately: the final grade is the mean of the two grades.
The total exam is passed if each of the two grades is greater or equal than 18. Each evaluation is maintained valid for the whole academic year.

Type D and Type F activities

Le attività formative in ambito D o F comprendono gli insegnamenti impartiti presso l'Università di Verona o periodi di stage/tirocinio professionale.
Nella scelta delle attività di tipo D, gli studenti dovranno tener presente che in sede di approvazione si terrà conto della coerenza delle loro scelte con il progetto formativo del loro piano di studio e dell'adeguatezza delle motivazioni eventualmente fornite.

 

I semestre From 10/1/20 To 1/29/21
years Modules TAF Teacher
Matlab-Simulink programming D Bogdan Mihai Maris (Coordinator)
II semestre From 3/1/21 To 6/11/21
years Modules TAF Teacher
Introduction to 3D printing D Franco Fummi (Coordinator)
Python programming language D Vittoria Cozza (Coordinator)
HW components design on FPGA D Franco Fummi (Coordinator)
Rapid prototyping on Arduino D Franco Fummi (Coordinator)
Protection of intangible assets (SW and invention)between industrial law and copyright D Roberto Giacobazzi (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Subject requirements: mathematics D Rossana Capuani
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinator)
LaTeX Language D Enrico Gregorio (Coordinator)

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 soon also via the Univr app.

Graduation

For schedules, administrative requirements and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.

List of theses and work experience proposals

Stage Research area
Correlated mutations Various topics

Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
 


Career management


Student login and resources


Erasmus+ and other experiences abroad