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 |
|---|---|---|
| primo semestre (lauree) | Sep 28, 2020 | Dec 23, 2020 |
| secondo semestre (lauree) | Feb 15, 2021 | Jun 1, 2021 |
| Session | From | To |
|---|---|---|
| sessione invernale | Jan 11, 2021 | Feb 12, 2021 |
| sessione estiva | Jun 7, 2021 | Jul 23, 2021 |
| sessione autunnale | Aug 23, 2021 | Sep 17, 2021 |
| Session | From | To |
|---|---|---|
| sessione autunnale (validità a.a. 2019/20) | Dec 9, 2020 | Dec 11, 2020 |
| sessione invernale (validità a.a. 2019/20) | Apr 7, 2021 | Apr 9, 2021 |
| sessione estiva (validità a.a. 2020/21) | Sep 6, 2021 | Sep 8, 2021 |
| Period | From | To |
|---|---|---|
| Vacanze di Natale | Dec 24, 2020 | Jan 6, 2021 |
| Vacanze di Pasqua | Apr 3, 2021 | Apr 6, 2021 |
| Vacanze estive | Aug 9, 2021 | Aug 15, 2021 |
Exam calendar
Exam dates and rounds are managed by the relevant Economics 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
045 802 8224
giovanna.caramia@univr.it
simona.fiore@univr.it
maurizio.malpede@univr.it
martina.menon@univr.it
fabio.sartori@univr.it
alex.sclip@univr.it
chiara.zamboni_01@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 |
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| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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1° Year
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2° Year activated in the A.Y. 2021/2022
| Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2022/2023
| Modules | Credits | TAF | SSD |
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| Modules | Credits | TAF | SSD |
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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.
Market Analysis Laboratory (2022/2023)
Teaching code
4S008961
Academic staff
Coordinatore
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
Secondo semestre (lauree) dal Feb 20, 2023 al May 31, 2023.
Learning objectives
This course provides guidance to perform applied econometric analysis, offering the training necessary to analyze economic data, to interpret them and to measure the relationships suggested by economic theories in different fields such as Macroeconomics, Microeconomics, and Finance . During the course the basic elements of econometric analysis will be reviewed but the emphasis will be placed on applications and model building. Students will acquire the knowledge and skills necessary for the analysis of economic data, as well as the interpretation and discussion of the results. Group work will complement individual study for this purpose.
At the end of the course the student will be to independently conduct reliable empirical analysis, from the data collection step, to the descriptive analysis and up to the identification of the main relationships between the variables of interest.
Prerequisites and basic notions
Econometrics and Statistics
Program
Course topics:
1. Introduction to R
2. Primary and secondary data for research.
3. Evaluation of the quality and preliminary treatment of the data.
4. Types of data and problems attached.
5. Display and description of data.
6. Regression analysis with cross-sectional data
7. Regression analysis with time series
8. Regression Analysis with binary outcomes
Bibliography
Didactic methods
The course is structured in lectures and exercises in the computer lab. Each topic will be treated first from a theoretical point of view and then from an empirical point of view. Applications will be based on real data. The use of the R software will be proposed.
Learning assessment procedures
The exam is divided into two tests: a project and a written test aimed to assess the knowledge of the econometric techniques illustrated during the lectures and the ability to apply these tools to concrete cases through the use of the R software.
Evaluation criteria
The evaluation criteria will be based on the written test, and a project
Criteria for the composition of the final grade
A written test is expected consisting of a multiple choice section and a practical section, as well as a project of a concrete case. In case of not taking the course, the exam will be based on different problem sets to be solved in R as well as a written test
Exam language
Italiano
Type D and Type F activities
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinatore)
|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinatore)
|
| 1° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinatore)
|
| 1° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinatore)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 | D |
Sergio Noto
(Coordinatore)
|
|
| 1° | Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 | D |
Federico Brunetti
(Coordinatore)
|
|
| 1° | Marketing plan - 2020/21 | D |
Virginia Vannucci
(Coordinatore)
|
|
| 1° 2° 3° | Data Analysis Laboratory with R (Verona) | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° 3° | Data Visualization Laboratory | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° 3° | Python Laboratory | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° 3° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° 3° | Advanced Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° 3° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° 3° | Programming in Matlab | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° 3° | Programming in SAS | D |
Marco Minozzo
(Coordinatore)
|
|
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.
