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..
For the year 2001/2002 No calendar yet available
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
Burattini Emilio
emilio.burattini@univr.it
angelo.pica@univr.it
Piccinini Nicola
piccinini@sci.univr.it
+39 349 7461319
Scollo Giuseppe
giuseppe . scollo at univr . it
045 802 7940
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.
In attesa che venga pubblicato il piano didattico 2001/2002, consulta il piano dell'anno accademico in corso al link
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 Methods (2004/2005)
Teaching code
4S00056
Teacher
Credits
5
Also offered in courses:
- Probability and Statistics Methods of the course Masters in Intelligent and Multimedia Systems
- Probability and Statistics Methods of the course Bachelor in Computer Science (old system)
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/06 - PROBABILITY AND STATISTICS
Period
Second four-month term dal Jan 10, 2005 al Mar 11, 2005.
Location
VERONA
Learning outcomes
Modellizzazione matematica di sistemi stocastici di interesse in campo informatico , loro simulazione ed analisi statistica.
Program
Costruzione , simulazione e studio delle principali proprieta' asintotiche di: Catene di Markov con spazio finito e numerabile, sia in tempo discreto che continuo, Processo di Poisson,Processi di rinnovo,Moto Browniano.
Applicazione a sistemi di code .
Analisi statistica su dati simulati
Lezioni teoriche e discussione di homeworks
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Sidney I.Resnick | Adventures in stichastic processes | Birkhauser;Boston,Basel,Berlin | 1992 |
Examination Methods
La prova d'esame consistera' in una tesina o progetto
Teaching materials e documents
-
modalita' d'esame
(html, it, 0 KB, 23/02/05)
-
programma del corso
(html, it, 0 KB, 23/02/05)
Type D and Type F activities
Training offer to be defined
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.
