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 sem. Oct 1, 2014 Jan 30, 2015
II sem. Mar 2, 2015 Jun 12, 2015
Exam sessions
Session From To
Sessione straordinaria appelli d'esame Feb 2, 2015 Feb 27, 2015
Sessione estiva appelli d'esame Jun 15, 2015 Jul 31, 2015
Sessione autunnale appelli d'esame Sep 1, 2015 Sep 30, 2015
Degree sessions
Session From To
Sessione autunnale appello di laurea 2014 Nov 26, 2014 Nov 26, 2014
Sessione invernale appello di laurea 2015 Mar 18, 2015 Mar 18, 2015
Sessione estiva appello di laurea 2015 Jul 14, 2015 Jul 14, 2015
Sessione autunnale appello di laurea 2015 Nov 25, 2015 Nov 25, 2015
Sessione invernale appello di laurea 2016 Mar 16, 2016 Mar 16, 2016
Holidays
Period From To
Vacanze di Natale Dec 22, 2014 Jan 6, 2015
Vacanze di Pasqua Apr 2, 2015 Apr 7, 2015
Ricorrenza del Santo Patrono May 21, 2015 May 21, 2015
Vacanze estive Aug 10, 2015 Aug 16, 2015

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 F G M O P Q R S T U
Foto, May 10, 2024

Belussi Alberto

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

Bertelle Roberto

Nico, October 28, 2015

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094
picture, February 9, 2015

Bonnici Vincenzo

symbol email vincenzo.bonnici@univr.it symbol phone-number +39 045 802 7045
2012, October 1, 2012

Boscaini Maurizio

symbol email maurizio.boscaini@univr.it
portrait, April 18, 2018

Capiluppi Marta

symbol email marta.capiluppi@univr.it symbol phone-number +39 045 802 7049
fototessera, November 13, 2023

Carra Damiano

symbol email damiano.carra@univr.it symbol phone-number +39 045 802 7059
combi, October 1, 2018

Combi Carlo

symbol email carlo.combi@univr.it symbol phone-number +390458027985
Fotografia, November 1, 2017

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963
Franco Fummi, January 22, 2024

Fummi Franco

symbol email franco.fummi@univr.it symbol phone-number 045 802 7994
andrea, May 9, 2015

Giachetti Andrea

symbol email andrea.giachetti@univr.it symbol phone-number +39 045 8027998
Bruno Gobbi UNIVR 2021, December 16, 2021

Gobbi Bruno

symbol email bruno.gobbi@univr.it
Foto, February 28, 2018

Gregorio Enrico

symbol email Enrico.Gregorio@univr.it symbol phone-number 045 802 7937
Valerio Guarnieri, December 22, 2010

Guarnieri Valerio

symbol email valerio.guarnieri@univr.it symbol phone-number +39 045 802 7085
Pasquina Marzola, July 28, 2015

Marzola Pasquina

symbol email pasquina.marzola@univr.it symbol phone-number 045 802 7816 (ufficio); 045 802 7614 (laboratorio)
foto 2013, June 13, 2013

Masini Andrea

symbol email andrea.masini@univr.it symbol phone-number 045 802 7922
Foto, February 3, 2016

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +390458027089
Gloria Menegaz, April 30, 2024

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024
Migliorini, July 25, 2014

Migliorini Sara

symbol email sara.migliorini@univr.it symbol phone-number +39 045 802 7908
foto, February 10, 2015

Oliva Immacolata

symbol email immacolata.oliva@univr.it symbol phone-number +39 0458028768
Foto_febbraio_2023, February 17, 2023

Pravadelli Graziano

symbol email graziano.pravadelli@univr.it symbol phone-number +39 045 802 7081
Foto, February 12, 2014

Quaglia Davide

symbol email davide.quaglia@univr.it symbol phone-number +39 045 802 7811
Foto, January 27, 2015

Residori Stefania

symbol email stefania.residori@univr.it
Roberto Segala, January 20, 2015

Segala Roberto

symbol email roberto.segala@univr.it symbol phone-number 045 802 7997
Fausto Spoto, October 10, 2017

Spoto Nicola Fausto

symbol email fausto.spoto@univr.it symbol phone-number +39 045 8027940
FotoCv, February 3, 2016

Stefanni Francesco

Foto Tomazzoli, February 23, 2016

Tomazzoli Claudio

symbol email claudio.tomazzoli@univr.it
UgoliniSimone

Ugolini Simone

symbol email simone.ugolini@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
6
A
MAT/02
6
A
MAT/05
12
A
ING-INF/05
6
A
FIS/01
6
A
INF/01
6
A
MAT/06
12
A
INF/01
6
E
-

2° Year  activated in the A.Y. 2015/2016

ModulesCreditsTAFSSD
12
B
INF/01
6
C
MAT/05
6
C
MAT/08
6
C
FIS/01
6
B
INF/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti
6
B
INF/01
6
B
INF/01

3° Year  activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
12
B
ING-INF/05
6
B
INF/01
6
B
INF/01
Un insegnamento a scelta tra i seguenti
12
B
INF/01
12
B
INF/01
6
F
-
12
D
-
Prova finale
6
E
-
activated in the A.Y. 2015/2016
ModulesCreditsTAFSSD
12
B
INF/01
6
C
MAT/05
6
C
MAT/08
6
C
FIS/01
6
B
INF/01
6
B
ING-INF/05
12
B
ING-INF/05
Un insegnamento a scelta tra i seguenti
6
B
INF/01
6
B
INF/01
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
12
B
ING-INF/05
6
B
INF/01
6
B
INF/01
Un insegnamento a scelta tra i seguenti
12
B
INF/01
12
B
INF/01
6
F
-
12
D
-
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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Probability and Statistics (2014/2015)

Teaching code

4S02843

Credits

6

Coordinator

Immacolata Oliva

Language

Italian

Also offered in courses:

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITY AND STATISTICS

Seminars 0

The teaching is organized as follows:

Teoria

Credits

4

Period

II sem.

Academic staff

Immacolata Oliva

Laboratorio

Credits

2

Period

II sem.

Academic staff

Bruno Gobbi

Learning outcomes

Module: Theory
-------

The goal of the course is to introduce theoretical basis of probability, in order to solve the problem of modelling actual phenomena by using stochastic methods, especially applied to Statistics.

At the end of the course, the student should be able to deal with actual problems and to provide for the corresponding solution, by using probabilistic techniques.

Program

Module: Theory
-------

Introduction to probability theory: historical roots, three kinds of definition. Revision of set theory. Axiomatic definition of probability: outcomes, random experiments, sample space. Conditional probability: total probability theorem, law of compound probabilities, Bayes theorem. Stochastic independence.
Random variables, discrete density function and cumulative distribution function. Relationship among random variables and funcions with random variables. Mean, variance and n-th moment of random variables. Some famous problems: the gambler ruin problem, the birthday paradox, St. Petersburg paradox. Models of discrete distributions: Bernoulli distribution, uniform distribution, binomial distribution, geometric distribution, hyper-geometric distribution, Poisson distribution. The Bernoulli scheme and the approximation of a Poisson random variable by a binomial one. Examples of continuous distributions: exponential distribution, Gaussian distribution, Gamma distribution, Chi-squared distribution. Characteristic function and (moment) generating function. Law of large numbers and central limit theorem. Random vectors and marginal distributions. Introduction to descriptive statistics. Linear regression. Inferential statistics: parameters estimation and statistical hypothesis testing.

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria P. Baldi Calcolo delle Probabilità e Statistica (Edizione 2) Mc Graw-Hill 1998 8838607370
Teoria G. Cicchitelli Statistica: principi e metodi (Edizione 2) Pearson Italia, Milano 2012

Examination Methods

Module:
-------

Written and computer exam .


Taking into account the structure of the course, the exam is divided into two parts: a theory module (20 points) and a lab module (10 points), to be held together.

The exam is passed if a student gets at least 12 points in the former module and at least 6 points in the latter one. Students who do not reach the pass mark, even just in one of the two modules, must repeat the whole test, during one of the next sessions .

It is forbidden to use textbooks, manuals or notes during the exam.
Students may refer to a formulary, delivered by teachers together with the exam paper.

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

Teaching materials e documents

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.

MyUnivr

Graduation

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

List of thesis 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 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


Tutoring faculty members


Erasmus+ and other experiences abroad