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, 2013 Jan 31, 2014
II semestre Mar 3, 2014 Jun 13, 2014
Exam sessions
Session From To
Sessione straordinaria Feb 3, 2014 Feb 28, 2014
Sessione estiva Jun 16, 2014 Jul 31, 2014
Sessione autunnale Sep 1, 2014 Sep 30, 2014
Degree sessions
Session From To
Sessione autunnale Oct 16, 2013 Oct 16, 2013
Sessione straordinaria Dec 10, 2013 Dec 10, 2013
Sessione invernale Mar 19, 2014 Mar 19, 2014
Sessione estiva Jul 14, 2014 Jul 14, 2014
Holidays
Period From To
Vacanze Natalizie Dec 22, 2013 Jan 6, 2014
Vacanze di Pasqua Apr 17, 2014 Apr 22, 2014
Festa del S. Patrono S. Zeno May 21, 2014 May 21, 2014
Vacanze Estive Aug 11, 2014 Aug 15, 2014

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

B C D F G L M O P Q T U V

Belussi Alberto

symbol email alberto.belussi@univr.it symbol phone-number +39 045 802 7980

Bicego Manuele

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

Buffelli Mario Rosario

symbol email mario.buffelli@univr.it symbol phone-number +39 0458027268

Capaldi Stefano

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

Cicalese Ferdinando

symbol email ferdinando.cicalese@univr.it symbol phone-number +39 045 802 7969

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +39 045 802 7985

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

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

Farinelli Alessandro

symbol email alessandro.farinelli@univr.it symbol phone-number +39 045 802 7842

Fiorini Paolo

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

Giachetti Andrea

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

Giorgetti Alejandro

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

Gobbi Bruno

symbol email bruno.gobbi@univr.it

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number +39 045 802 7937

Lovato Pietro

symbol email pietro.lovato@univr.it symbol phone-number +39 045 802 7035

Manca Vincenzo

symbol email vincenzo.manca@univr.it symbol phone-number 3534161648

Masini Andrea

symbol email andrea.masini@univr.it symbol phone-number +39 045 802 7922

Menegaz Gloria

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

Oliboni Barbara

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

Piccinelli Fabio

symbol email fabio.piccinelli@univr.it symbol phone-number +39 045 802 7097

Posenato Roberto

symbol email roberto.posenato@univr.it

Quaglia Davide

symbol email davide.quaglia@univr.it symbol phone-number +39 045 802 7811

Trabetti Elisabetta

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

Ugolini Simone

symbol email simone.ugolini@univr.it

Villa Tiziano

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

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.

2° Year  activated in the A.Y. 2014/2015

ModulesCreditsTAFSSD
12
B
INF/01
12
C
BIO/10
6
C
BIO/18
activated in the A.Y. 2014/2015
ModulesCreditsTAFSSD
12
B
INF/01
12
C
BIO/10
6
C
BIO/18

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

4S02716

Credits

12

Coordinator

Manuele Bicego

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

The teaching is organized as follows:

Teoria

Credits

9

Period

I semestre

Academic staff

Manuele Bicego

Laboratorio

Credits

3

Period

I semestre

Academic staff

Pietro Lovato

Learning outcomes

The course is aimed at giving theoretical and applicative fundamentals of Pattern Recognition, a class of methodologies usable to recognize and retrieve information from biological data.
In particular all the fundamental aspects of PR will be presented: data representation, classification, clustering and validation. The main focus will be more on the methodologies rather than on the application programs (already seen in other courses)

The first part of the course will present, from a general perspective, methods, motivations and problems underlying the main techniques employed in Pattern Recognition. The second part, more devoted to applications, will describe practical bioinformatics scenarios where PR tools are applied (gene expression data analysis, protein remote homology detection, image segmentation and so on)
A final part will be devoted to practical implementation, via the MATLAB language, of some of the techniques studied in the previous parts.

Program

- General introduction to Pattern Recognition
- Data representation
- Bayes decision theory
- Generative and discriminative classifiers
- Validation of classification
- Neural Networks
- Hidden Markov Models
- Dissimilarities
- Clustering approaches
- Validation of clustering
- Applications

Examination Methods

Seminar on a topic related to Pattern Recognition and Bioinformatics
Written exam on topics treated during frontal lessons

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

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

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

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.

 


Career management


Student login and resources


Erasmus+ and other experiences abroad