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, 2015 | Jan 29, 2016 |
| II semestre | Mar 1, 2016 | Jun 10, 2016 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria Appelli d'esame | Feb 1, 2016 | Feb 29, 2016 |
| Sessione estiva Appelli d'esame | Jun 13, 2016 | Jul 29, 2016 |
| Sessione autunnale Appelli d'esame | Sep 1, 2016 | Sep 30, 2016 |
| Session | From | To |
|---|---|---|
| Sess. autun. App. di Laurea | Oct 12, 2015 | Oct 12, 2015 |
| Sess. autun. App. di Laurea | Nov 26, 2015 | Nov 26, 2015 |
| Sess. invern. App. di Laurea | Mar 15, 2016 | Mar 15, 2016 |
| Sess. estiva App. di Laurea | Jul 19, 2016 | Jul 19, 2016 |
| Sess. autun. 2016 App. di Laurea | Oct 11, 2016 | Oct 11, 2016 |
| Sess. autun 2016 App. di Laurea | Nov 30, 2016 | Nov 30, 2016 |
| Sess. invern. 2017 App. di Laurea | Mar 16, 2017 | Mar 16, 2017 |
| Period | From | To |
|---|---|---|
| Festività dell'Immacolata Concezione | Dec 8, 2015 | Dec 8, 2015 |
| Vacanze di Natale | Dec 23, 2015 | Jan 6, 2016 |
| Vacanze Pasquali | Mar 24, 2016 | Mar 29, 2016 |
| Anniversario della Liberazione | Apr 25, 2016 | Apr 25, 2016 |
| Festa del S. Patrono S. Zeno | May 21, 2016 | May 21, 2016 |
| Festa della Repubblica | Jun 2, 2016 | Jun 2, 2016 |
| Vacanze estive | Aug 8, 2016 | Aug 15, 2016 |
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
alberto.benvegnu@univr.it
leonardpeter.bos@univr.it
maurizio.boscaini@univr.it
federico.busato@univr.it
Cordoni Francesco Giuseppe
francescogiuseppe.cordoni@univr.it
Magazzini Laura
laura.magazzini@univr.it
045 8028525
gino.mariotto@univr.it
Rossi Francesco
Zini Giovanni
simone.zuccher@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. 2016/2017
| Modules | Credits | TAF | SSD |
|---|
One course to be chosen among the following3° Year activated in the A.Y. 2017/2018
| Modules | Credits | TAF | SSD |
|---|
One/two courses to be chosen among the following| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
One course to be chosen among the following| Modules | Credits | TAF | SSD |
|---|
One/two courses 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.
Econometrics (2017/2018)
Teaching code
4S01951
Teacher
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
I sem. dal Oct 2, 2017 al Jan 31, 2018.
Learning outcomes
Statistic tools and economic theory will be applied in order to provide students with capabilities to understand and perform empirical analysis of economic phenomena. Empirical problems and applications will be discussed during the course to provide students with the tools needed for the analysis of economic data.
Program
1. Introduction
- Economic questions and data
- Review of probability
- Review of statistics
2. The regression analysis
- Linear regression model: single regressor and multiple regressors
- Ordinary least squares estimation of model coefficients
- Least squares assumptions
- Properties of OLS estimators
- Hypothesis testing and confidence intervals
- Goodness of fit
- Heteroschedasticity and homoschedasticity
- Omitted variable bias
- Generalized least squares
- Nonlinear regression functions
- Assessment of studies based on multiple regression
3. Regression analysis of time series data
- Forecasting
- Autoregression
- Non-stationarity: trend and structural break
- Stationarity in the AR(1) model
- Estimation of dynamic casual effects
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| James H. Stock, Mark W. Watson | Introduzione all'econometria (Edizione 4) | Pearson Education Italia | 2016 | 978-8-891-90124-8 |
Examination Methods
During the exam the students will sit in the computer lab. It will last two hours and will cover the full program of the course. The exam aims at assessing the capabilities of the student for the econometric analysis of cross sectional and time series data. Students will be asked to perform an econometric analysis on a dataset with the software Gretl. Questions on econometric theory will also be assigned.
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 |
|---|---|
1. Come scrivere una tesi
|
pdf, it, 31 KB, 29/07/21 |
|
2. How to write a thesis
|
pdf, it, 31 KB, 29/07/21 |
|
5. Regolamento tesi
|
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 |
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 orientation 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 Lidia Angeleri, Sisto Baldo, Marco Caliari, Paolo dai Pra, Francesca Mantese, and Nicola Sansonetto
To send an email to professors: name.surname@univr.it
