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.

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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, 2015 Jan 29, 2016
II semestre Mar 1, 2016 Jun 10, 2016
Exam sessions
Session From To
Sessione straordinaria Appelli d'esame Feb 1, 2016 Feb 29, 2016
Sessione estiva Appelli d'esame Jun 13, 2016 Jul 29, 2016
Sessione autunnale Appelli d'esame Sep 1, 2016 Sep 30, 2016
Degree sessions
Session From To
Sess. autun. App. di Laurea Nov 25, 2015 Nov 25, 2015
Sess. invern. App. di Laurea Mar 16, 2016 Mar 16, 2016
Sess. estiva App. di Laurea Jul 12, 2016 Jul 12, 2016
Sess. autun 2016 App. di Laurea Nov 23, 2016 Nov 23, 2016
Sess. invern. 2017 App. di Laurea Mar 20, 2017 Mar 20, 2017
Holidays
Period From To
Festività dell'Immacolata Concezione Dec 8, 2015 Dec 8, 2015
Vacanze di Natale Dec 23, 2015 Jan 6, 2016
Vancanze di Pasqua Mar 24, 2016 Mar 29, 2016
Anniversario della Liberazione Apr 25, 2016 Apr 25, 2016
Festa del S. Patrono S. Zeno May 21, 2016 May 21, 2016
Festa della Repubblica Jun 2, 2016 Jun 2, 2016
Vacanze estive Aug 8, 2016 Aug 15, 2016

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 Enrolment FAQs

Academic staff

B C D F G L M O P Q S U
Foto, May 6, 2009

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
fototessera, October 3, 2018

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 045 802 7985
Fotografia, September 2, 2021

Cristani Matteo

symbol email matteo.cristani@univr.it symbol phone-number 045 802 7983
CDAF, November 11, 2012

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942
foto-ale, May 18, 2012

Di Pierro Alessandra

symbol email alessandra.dipierro@univr.it symbol phone-number +39 045 802 7971
Foto, April 10, 2017

Drago Nicola

symbol email nicola.drago@univr.it symbol phone-number 045 802 7081
Fotografia, November 1, 2017

Fiorini Paolo

symbol email paolo.fiorini@univr.it symbol phone-number 045 802 7963
Franco Fummi, November 15, 2021

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
Foto Lavagna, October 31, 2016

Giacobazzi Roberto

symbol email roberto.giacobazzi@univr.it symbol phone-number +39 045 802 7995
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
Foto, May 4, 2017

Lora Michele

symbol email michele.lora@univr.it
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, February 3, 2016

Mastroeni Isabella

symbol email isabella.mastroeni@univr.it symbol phone-number +39 045 802 7089
Gloria Menegaz, April 4, 2022

Menegaz Gloria

symbol email gloria.menegaz@univr.it symbol phone-number +39 045 802 7024
Oliboni, October 3, 2019

Oliboni Barbara

symbol email barbara.oliboni@univr.it symbol phone-number +39 045 802 7077
ritratto2016, March 30, 2020

Posenato Roberto

symbol email roberto.posenato@univr.it symbol phone-number +39 045 802 7967
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
Roberto Segala, January 20, 2015

Segala Roberto

symbol email roberto.segala@univr.it symbol phone-number 045 802 7997
me, March 17, 2016

Setti Francesco

symbol email francesco.setti@univr.it symbol phone-number +39 045 802 7804
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

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 enrolment year.

activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
12
B
INF/01
6
C
MAT/05
6
C
FIS/01
One course to be chosen among the following
6
B
INF/01
6
B
INF/01
12
B
INF/01
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
12
B
ING-INF/05
One course to be chosen among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
F
-
12
D
-
Prova finale
6
E
-

1° Year

ModulesCreditsTAFSSD
6
A
MAT/02
6
A
MAT/05
12
A
ING-INF/05
6
A
FIS/01
6
E
-
6
A
INF/01
6
C
MAT/06
12
A
INF/01

2° Year  activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
12
B
INF/01
6
C
MAT/05
6
C
FIS/01
One course to be chosen among the following
6
B
INF/01
6
B
INF/01
12
B
INF/01
6
B
ING-INF/05
12
B
ING-INF/05

3° Year  activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
12
B
ING-INF/05
One course to be chosen among the following
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
B
INF/01
6
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 (2015/2016)

Teaching code

4S02843

Credits

6

Coordinatore

Bruno Gobbi

Language

Italian

Also offered in courses:

Scientific Disciplinary Sector (SSD)

MAT/06 - PROBABILITY AND STATISTICS

Seminars

The teaching is organized as follows:

Teoria

Credits

4

Period

II semestre

Academic staff

Bruno Gobbi

Laboratorio di statistica

Credits

2

Period

II semestre

Academic staff

Bruno Gobbi

Learning outcomes

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

Program

Descriptive statistics. Means, median, quantiles.
Variance and other statistics to measure the variability of a distribution.
Simmetry: Skewness of Pearson.
Independence test in crossed tables.
Linear Regression.
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.
Random variables, discrete density function and cumulative distribution function. Mean, variance and n-th moment of random variables. Models of discrete distributions: Bernoulli distribution, uniform distribution, binomial distribution, geometric distribution, hyper-geometric distribution, Poisson distribution. Examples of continuous distributions: exponential distribution, Gaussian distribution. Characteristic function and (moment) generating function.
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 D. OLIVIERI Fondamenti di statistica (Edizione 3) Cedam, Padova 2007
Teoria D. OLIVIERI Temi svolti di statistica (2001-2007) Cedam, Padova 2008

Examination Methods

Written and computer exam by using the R programming language.

The exam is divided into two parts: a theory module (20 points) and a lab module (10 points), to be held together.

It is forbidden to use textbooks, manuals or notes during the exam.
Students may use a scientific calculator and refer to a formulary delivered by teacher 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 soon also via the Univr app.

MyUnivr

Erasmus+ and other experiences abroad


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 delle basi di dati/sistemi informativi Various topics

Attendance

As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
Please refer to the Crisis Unit's latest updates for the mode of teaching.


Career management


Student login and resources