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 |
|---|---|---|
| 1st Semester | Oct 1, 2009 | Jan 31, 2010 |
| 2nd Semester | Mar 1, 2010 | Jun 15, 2010 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria | Feb 1, 2010 | Feb 28, 2010 |
| Sessione estiva | Jun 16, 2010 | Jul 31, 2010 |
| Sessione autunnale | Sep 1, 2010 | Sep 30, 2010 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Sep 29, 2009 | Sep 29, 2009 |
| Sessione straordinaria | Dec 10, 2009 | Dec 10, 2009 |
| Sessione invernale | Mar 17, 2010 | Mar 17, 2010 |
| Sessione estiva | Jul 19, 2010 | Jul 19, 2010 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2009 | Nov 1, 2009 |
| Festa dell'Immacolata Concezione | Dec 8, 2009 | Dec 8, 2009 |
| Vacanze Natalizie | Dec 21, 2009 | Jan 6, 2010 |
| Vacanze Pasquali | Apr 2, 2010 | Apr 6, 2010 |
| Festa della Liberazione | Apr 25, 2010 | Apr 25, 2010 |
| Festa del Lavoro | May 1, 2010 | May 1, 2010 |
| Festa del Santo Patrono | May 21, 2010 | May 21, 2010 |
| Festa della Repubblica | Jun 2, 2010 | Jun 2, 2010 |
| Vacanze Estive | Aug 9, 2010 | Aug 15, 2010 |
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 Enrolment FAQs
Academic staff
Mastrogiacomo Elisa
Todorov Velitchko
velitchko.todorov@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.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| Modules | Credits | TAF | SSD |
|---|
3° Year
| 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 (2009/2010)
Teaching code
4S02843
Credits
6
Coordinatore
Also offered in courses
Also offered in courses
Scientific Disciplinary Sector (SSD)
MAT/06 - PROBABILITY AND STATISTICS
Language
Italian
The teaching is organized as follows:
Teoria
Laboratorio di Statistica
Credits
2
Period
2nd Semester
Academic staff
Elisa Mastrogiacomo
???OrarioLezioni???
Learning outcomes
This course is an introduction to probability and statistics. The emphasis will be on learning the main statistical methodologies. The part on probability is aimed at understanding the basic principles of elementary probabilty and to justifying the procedures of statistical analysis.
Program
1. Introduction to Descriptive Statistics
2. Experiments with random outcome. Sample space and events.
3. Axioms of probability.
4. Elementary probabilty formulas.
5. Conditional probability. Independent events.
6. Random variables. Probability densities. Mean and variance.
7. Bernoulii trials: binomial and geometric distributions.
8. Poisson process: exponential and gamma distributions
9. The normal distribution and its properties.
10. Law of large numbers.
11. The Central Limit Theorem and normal approximation.
12. Introduction to inference statistics.
13. Estimates and their properties.
14. Estimates for intervals: confidence intervals.
15. Mean and variance estimates for normal samples.
16. Estimates for general samples. Proportion estimates.
17. Test of hypothesis. z test and t test. Frequency tests.
18. The Chi-Squared test.
Examination Methods
The exam will be in written form with one part exercises and one part consisting of questions regarding the theory.
At the request of the student, it will be possible to have an oral exam instead.
Bibliografia
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Teoria | Bramanti Marco | Calcolo delle Probabilità e Statistica (Edizione 1) | Progetto Leonardo-Esculapio s.r.l. | 2001 |
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.
Graduation
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 |
Gestione carriere
Area riservata studenti
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.