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 1, 2012 | Jan 31, 2013 |
II semestre | Mar 4, 2013 | Jun 14, 2013 |
Session | From | To |
---|---|---|
Sessione straordinaria | Feb 4, 2013 | Feb 28, 2013 |
Sessione estiva | Jun 17, 2013 | Jul 31, 2013 |
Sessione autunnale | Sep 2, 2013 | Sep 30, 2013 |
Session | From | To |
---|---|---|
Sessione autunnale | Oct 16, 2012 | Oct 16, 2012 |
Sessione straordinaria | Dec 10, 2012 | Dec 10, 2012 |
Sessione invernale | Mar 19, 2013 | Mar 19, 2013 |
Sessione estiva | Jul 22, 2013 | Jul 22, 2013 |
Period | From | To |
---|---|---|
Festa di Ognissanti | Nov 1, 2012 | Nov 1, 2012 |
Festa dell'Immacolata Concezione | Dec 8, 2012 | Dec 8, 2012 |
Vacanze di Natale | Dec 21, 2012 | Jan 6, 2013 |
Vacanze di Pasqua | Mar 29, 2013 | Apr 2, 2013 |
Festa della Liberazione | Apr 25, 2013 | Apr 25, 2013 |
Festa del Lavoro | May 1, 2013 | May 1, 2013 |
Festa del Santo Patrono di Verona - San Zeno | May 21, 2013 | May 21, 2013 |
Festa della Repubblica | Jun 2, 2013 | Jun 2, 2013 |
Vacanze estive | Aug 9, 2013 | Aug 16, 2013 |
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.
Academic staff
![Foto, January 27, 2015](https://docs.univr.it/documenti//Persona/foto/foto125164.jpg)
Residori Stefania
![Marco Squassina, January 5, 2014](https://docs.univr.it/documenti//Persona/foto/foto123980.jpg)
Squassina Marco
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. 2013/2014
Modules | Credits | TAF | SSD |
---|
One course chosen from the following two
3° Year activated in the A.Y. 2014/2015
Modules | Credits | TAF | SSD |
---|
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
Modules | Credits | TAF | SSD |
---|
Modules | Credits | TAF | SSD |
---|
One course chosen from the following two
Modules | Credits | TAF | SSD |
---|
One course of 12 ECTS or two courses of 6 ECTS chosen from the following three
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.
Stochastic systems (2014/2015)
Teaching code
4S00254
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
MAT/06 - PROBABILITY AND STATISTICS
The teaching is organized as follows:
Catene di Markov in tempo discreto
Analisi di serie temporali
Esercitazioni
Learning outcomes
The course is split into three parts.
Module 1 (Discrete-time Markov Chains, Prof. Dai Pra)
The course provides an introduction to discrete-time Markov chain, with finite or countable state space
Module 2 (Practice of Stochastic Systems, Dott. Caliari)
Exercises and practice on Module 1, see web page.
Module 3 (Temporal series analysis, Dott. Di Palma)
Theory for the analysis of discrete time temporal series.
Program
Module 1
- Introduction to finite-state Markov chain: irreducibility, periodicity, stationary distributions, classification of states. Examples.
- Markov chain Monte Carlo. Perfect simulation.
- Convergence to equilibrium of Markov chains. Mixing time. Ergodic Theorem. Coupling methods. Strong stationary times.
- Martingales: optional stoppini theorem, harmonic functions.
- Markov chains with countable state space: recurrence and transience.
- Approximation of invatiant measures.
- Metropolis' algorithm
- Queue simulation
Examination Methods
Module 1: written examination.
Module 2: oral discussion about homeworks.
Module 3: oral discussion of a given project.
The final mark is the weighted average of the three.
Teaching materials e documents
-
Modulo 3:0 - Informazioni sul corso (it, 123 KB, 19/11/14)
-
Modulo 3:1 - Modelli: tassonomia, principali modelli lineari (ARX, MA, AR ed OE), famiglia generale di modelli, predittore ottimo (it, 141 KB, 19/11/14)
-
Modulo 3:2 - Identificazione: definizione del problema, principali criteri (PEM, LS e ML), errore di stima (it, 157 KB, 19/11/14)
-
Modulo 3:3 - Validazione: definizione del problema, SSR, corss-validazione ed analisi dei residui (test di cambio dei segni) (it, 128 KB, 26/11/14)
-
Modulo 3:4 - DoE: principali segnali di ingresso (Rumore Bianco, Gradino, Rampa) e requisiti (it, 72 KB, 26/11/14)
-
Modulo 3:Esercitazione 1 - Predizione & Simulazione (it, 1316 KB, 19/11/14)
-
Modulo 3:Esercitazione 2 - Metodi ad errore di predizione (it, 675 KB, 19/11/14)
-
Modulo 3:Esercitazione 3 - Validazione (it, 1194 KB, 26/11/14)
-
Modulo 3:Esercitazione 4 - Simulazione esame (it, 666 KB, 26/11/14)
-
Dispense/Lecture Notes Modulo 2 (it, 183 KB, 14/10/14)
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
Documents
Title | Info File |
---|---|
![]() |
pdf, it, 31 KB, 29/07/21 |
![]() |
pdf, it, 31 KB, 29/07/21 |
![]() |
pdf, it, 171 KB, 20/03/24 |
List of thesis proposals
theses proposals | Research area |
---|---|
Formule di rappresentazione per gradienti generalizzati | Mathematics - Analysis |
Formule di rappresentazione per gradienti generalizzati | Mathematics - Mathematics |
Proposte Tesi A. Gnoatto | Various topics |
Mathematics Bachelor and Master thesis titles | Various topics |
THESIS_1: Sensors and Actuators for Applications in Micro-Robotics and Robotic Surgery | Various topics |
THESIS_2: Force Feedback and Haptics in the Da Vinci Robot: study, analysis, and future perspectives | Various topics |
THESIS_3: Cable-Driven Systems in the Da Vinci Robotic Tools: study, analysis and optimization | Various topics |
Attendance modes and venues
As stated in the Teaching Regulations , except for specific practical or lab activities, attendance is not mandatory. Regarding these activities, please see the web page of each module for information on the number of hours that must be attended on-site.
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.
Career management
Student login and resources
Erasmus+ and other experiences abroad
Ongoing orietnantion for students
The committee has the task of guiding the students throughout their studies, guiding them in their choice of educational pathways, making them active participants in the educational process and helping to overcome any individual difficulties.
It is composed of professors Sisto Baldo, Marco Caliari, Francesca Mantese, Giandomenico Orlandi and Nicola Sansonetto