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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I sem. | Oct 3, 2016 | Jan 31, 2017 |
| II sem. | Mar 1, 2017 | Jun 9, 2017 |
| Session | From | To |
|---|---|---|
| Sessione invernale Appelli d'esame | Feb 1, 2017 | Feb 28, 2017 |
| Sessione estiva Appelli d'esame | Jun 12, 2017 | Jul 31, 2017 |
| Sessione autunnale Appelli d'esame | Sep 1, 2017 | Sep 29, 2017 |
| Session | From | To |
|---|---|---|
| Sessione estiva Appelli di Laurea | Jul 18, 2017 | Jul 18, 2017 |
| Sessione autunnale Appelli di laurea | Nov 22, 2017 | Nov 22, 2017 |
| Sessione invernale Appelli di laurea | Mar 20, 2018 | Mar 20, 2018 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2016 | Nov 1, 2016 |
| Festa dell'Immacolata Concezione | Dec 8, 2016 | Dec 8, 2016 |
| Vacanze di Natale | Dec 23, 2016 | Jan 8, 2017 |
| Vacanze di Pasqua | Apr 14, 2017 | Apr 18, 2017 |
| Anniversario della Liberazione | Apr 25, 2017 | Apr 25, 2017 |
| Festa del Lavoro | May 1, 2017 | May 1, 2017 |
| Festa della Repubblica | Jun 2, 2017 | Jun 2, 2017 |
| Vacanze estive | Aug 8, 2017 | Aug 20, 2017 |
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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
+39 045 802 7980
maurizio.boscaini@univr.it
mila.dallapreda@univr.it
bruno.gobbi@univr.it
Ugolini Simone
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
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2017/2018
| Modules | Credits | TAF | SSD |
|---|
One course to be chosen among the following3° Year activated in the A.Y. 2018/2019
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
One course to be chosen among the following| Modules | Credits | TAF | SSD |
|---|
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.
Probability and Statistics (2016/2017)
Teaching code
4S02843
Credits
6
Language
Italian
Also offered in courses:
- Probability and Statistics - Teoria of the course Bachelor's degree in Bioinformatics
- Probability and Statistics - Laboratorio of the course Bachelor's degree in Bioinformatics
- Probability and Statistics - Laboratorio of the course Bachelor's degree in Bioinformatics
Scientific Disciplinary Sector (SSD)
MAT/06 - PROBABILITY AND STATISTICS
The teaching is organized as follows:
Teoria
Laboratorio [II turno]
Laboratorio [I turno]
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.
By the end of the course, students will have to show their skills with the main statistical methodologies for the analysis and estimation of phenomena, both theoretically and through the use of the R-Studio software.
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.
Combinatorics elements: dispositions, permutations, combinations.
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
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Teoria | P. Baldi | Calcolo delle Probabilità e Statistica | Mc Graw-Hill | 8838607370 | ||
| Teoria | D. OLIVIERI | Fondamenti di statistica (Edizione 3) | Cedam, Padova | 2007 | ||
| Teoria | OLIVIERI D. | Temi svolti di statistica (2001-2007) | CEDAM | 2008 |
Examination Methods
Written exam and test by using the R programming language.
The exam is divided into two parts: a Theory module (22 points) and a Laboratory module (8 points), to be held together.
The test will consist of:
- 3 exercises to be performed with paper, pen and calculator, related to the Theory module;
- 2 exercises about the R programming language, to be performed with paper and pen, related to the Laboratory module.
It is forbidden to use textbooks, manuals or notes during the exam.
Students may use a scientific calculator.
Teaching materials e documents
-
Esame 2017-06-16 - Soluzioni
(it, 267 KB, 16/06/17)
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Esame 2017-06-16 - Testo prova
(it, 92 KB, 16/06/17)
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Esame 2017-07-07 - Soluzioni
(it, 339 KB, 07/07/17)
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Esame 2017-07-07 - Testo prova
(it, 324 KB, 07/07/17)
-
Esame 2017-09-11 - Soluzioni
(it, 93 KB, 12/09/17)
-
Esame 2017-09-11 - Testo prova
(it, 473 KB, 12/09/17)
-
Esame 2018-02-09 - Soluzioni
(it, 48 KB, 10/02/18)
-
Esame 2018-02-09 - Testo prova
(it, 403 KB, 10/02/18)
-
LAB 01 - Statistica descrittiva con R
(it, 270 KB, 01/06/17)
-
LAB 02 - Indici di forma e connessione nelle tabelle a doppia entrata
(it, 1089 KB, 01/06/17)
-
LAB 03 - La Regressione Lineare
(it, 1107 KB, 01/06/17)
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LAB 04 - Esercizi riepilogativi 1
(it, 977 KB, 01/06/17)
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LAB 05 - Esercizi riepilogativi 2
(it, 321 KB, 01/06/17)
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LAB 06 - Esercizi riepilogativi 3
(it, 410 KB, 01/06/17)
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LAB 07 - Variabili Casuali Discrete
(it, 927 KB, 01/06/17)
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LAB 08 - Variabili Casuali Continue
(it, 795 KB, 01/06/17)
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LAB 09 - Esercizi riepilogativi 4
(it, 196 KB, 01/06/17)
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LAB 10 - Verifica di ipotesi
(it, 471 KB, 01/06/17)
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Tavola del Chi Quadrato
(it, 61 KB, 16/06/17)
-
Tavola della Normale standardizzata
(it, 618 KB, 18/05/17)
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.
Graduation
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.
