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 semestre | Oct 4, 2010 | Jan 31, 2011 |
| II semestre | Mar 1, 2011 | Jun 15, 2011 |
| 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 |
| 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 |
| 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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
+39 045 802 7980
nome.cognome[at]uniud.it
massimo.guerriero@univr.it
gino.mariotto@univr.it
Todorov Velitchko
velitchko.todorov@univr.it
Venturin Manolo
luca.vigano@univr.it
Zoccante Sergio
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.
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2011/2012
| Modules | Credits | TAF | SSD |
|---|
3° Year activated in the A.Y. 2012/2013
| Modules | Credits | TAF | SSD |
|---|
Un insegnamento a scelta tra i seguenti:| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
Un insegnamento a scelta tra i seguenti: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 (2010/2011)
Teaching code
4S02843
Credits
6
Language
Italian
Also offered in courses:
- Probability and Statistics of the course Bachelor's degree in Bioinformatics
- Probability and Statistics - Teoria of the course Bachelor's degree in Bioinformatics
- Probability and Statistics - Laboratorio di Statistica 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 di Statistica
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.
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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.
