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 4, 2010 Jan 31, 2011
II semestre Mar 1, 2011 Jun 15, 2011
Exam sessions
Session From To
Sessione straordinaria Feb 1, 2011 Feb 28, 2011
Sessione estiva Jun 16, 2011 Jul 29, 2011
Sessione autunnale Sep 1, 2011 Sep 30, 2011
Degree sessions
Session From To
Sessione autunnale Oct 20, 2010 Oct 20, 2010
Sessione straordinaria Dec 14, 2010 Dec 14, 2010
Sessione invernale Mar 23, 2011 Mar 23, 2011
Sessione estiva Jul 18, 2011 Jul 18, 2011
Holidays
Period From To
All Saints Nov 1, 2010 Nov 1, 2010
National holiday Dec 8, 2010 Dec 8, 2010
Christmas holidays Dec 22, 2010 Jan 6, 2011
Easter holidays Apr 22, 2011 Apr 26, 2011
National holiday Apr 25, 2011 Apr 25, 2011
Labour Day May 1, 2011 May 1, 2011
Local holiday May 21, 2011 May 21, 2011
National holiday Jun 2, 2011 Jun 2, 2011
Summer holidays Aug 8, 2011 Aug 15, 2011

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 M P S T V Z

Belussi Alberto

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

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094

Cristani Matteo

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

Di Pierro Alessandra

symbol email alessandra.dipierro@univr.it symbol phone-number +39 045 802 7971

Drago Nicola

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

Drioli Carlo

symbol email carlo.drioli@univr.it symbol phone-number +39 045 802 7968

Ferro Ruggero

symbol email ruggero.ferro@univr.it symbol phone-number 045 802 7909

Fiorini Paolo

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

Fummi Franco

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

Fusiello Andrea

symbol email nome.cognome[at]uniud.it

Giacobazzi Roberto

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

Gregorio Enrico

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

Guerriero Massimo

symbol email massimo.guerriero@univr.it

Mariotto Gino

symbol email gino.mariotto@univr.it

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

Merro Massimo

symbol email massimo.merro@univr.it symbol phone-number 045 802 7992

Monti Francesca

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

Morato Laura Maria

symbol email laura.morato@univr.it symbol phone-number 045 802 7904

Pravadelli Graziano

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

Segala Roberto

symbol email roberto.segala@univr.it symbol phone-number 045 802 7997
TodorovVelitchko

Todorov Velitchko

symbol email velitchko.todorov@univr.it
VenturinManolo

Venturin Manolo

Vigano' Luca

symbol email luca.vigano@univr.it
ZoccanteSergio

Zoccante Sergio

symbol email sergiozoccante@tin.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.

2° Year  activated in the A.Y. 2011/2012

ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
Un insegnamento a scelta tra i seguenti:
6
B
ING-INF/05
12
B
ING-INF/05

3° Year  activated in the A.Y. 2012/2013

ModulesCreditsTAFSSD
12
B
INF/01
Un insegnamento a scelta tra i seguenti:
Prova finale
6
E
-
activated in the A.Y. 2011/2012
ModulesCreditsTAFSSD
12
B
INF/01
6
C
FIS/01
Un insegnamento a scelta tra i seguenti:
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2012/2013
ModulesCreditsTAFSSD
12
B
INF/01
Un insegnamento a scelta tra i seguenti:
Prova finale
6
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

4S02843

Credits

6

Language

Italian

Also offered in courses:

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITY AND STATISTICS

The teaching is organized as follows:

Teoria

Credits

4

Period

II semestre

Academic staff

Laura Maria Morato

Laboratorio di Statistica

Credits

2

Period

II semestre

Academic staff

Massimo Guerriero

Learning outcomes

The course is an introduction to the elemetary concepts of Probaility with the explanation of the basic methiods of Statistics.

Program

1. Introduction to descriptive statistics
2. Random experiments and events
3.Probability axioms
4.Simple properties of probability and combinatorics.
5.Conditional probability. Independence.
6. Random variables. Density. Mean. Variance.
7.Bernoulli trials: binomial and geometric random variables
8.Poisson process: Exponential and gamma random variables
9.Normal distribution
10.Law of great numbers
11.Central limit theorem and normal approximation
12.Statistical extimators
13. Interval extimations and interval of confidence
14. Extimation of mean and variance for normal populations
15.Extension to generic populations. Extimation of a frequency.
16.Hypothesis tests. Test z and test t. Frequaency test. Chi-squared test.

Examination Methods

Written examination with exercices and theory questions.
-------

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 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

theses proposals Research area
Analisi e percezione dei segnali biometrici per l'interazione con robot AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Integrazione del simulatore del robot Nao con Oculus Rift AI, Robotics & Automatic Control - AI, Robotics & Automatic Control
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games
Domain Adaptation Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
BS or MS theses in automated reasoning Computing Methodologies - ARTIFICIAL INTELLIGENCE
Domain Adaptation Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION
Domain Adaptation Computing methodologies - Machine learning
Dati geografici Information Systems - INFORMATION SYSTEMS APPLICATIONS
Analisi e percezione dei segnali biometrici per l'interazione con robot Robotics - Robotics
Integrazione del simulatore del robot Nao con Oculus Rift Robotics - Robotics
BS or MS theses in automated reasoning Theory of computation - Logic
BS or MS theses in automated reasoning Theory of computation - Semantics and reasoning
Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata Various topics
Proposte di Tesi/Stage/Progetto nell'ambito dell'analisi dei dati 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