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.

Academic calendar

Course calendar

The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..

Definition of lesson periods
Period From To
primo semestre (lauree magistrali) Oct 5, 2020 Dec 23, 2020
secondo semestre (lauree magistrali) Mar 1, 2021 Jun 1, 2021
Exam sessions
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
Degree sessions
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
Holidays
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.

Exam calendar

Should you have any doubts or questions, please check the Enrollment FAQs

Academic staff

B F G M N P R S V Z

Baruffi Maria Caterina

symbol email mariacaterina.baruffi@univr.it

Brunetti Federico

symbol email federico.brunetti@univr.it symbol phone-number 045 802 8494

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Fiorentini Riccardo

symbol email riccardo.fiorentini@univr.it symbol phone-number 0444 393934 (VI) - 045 802 8335(VR)

Florio Cristina

symbol email cristina.florio@univr.it symbol phone-number 045 802 8296

Fratea Caterina

symbol email caterina.fratea@univr.it symbol phone-number 045 842 5358

Gaudenzi Barbara

symbol email barbara.gaudenzi@univr.it symbol phone-number 045 802 8623

Mancini Cecilia

symbol email cecilia.mancini@univr.it symbol phone-number 045 8028244

Menon Martina

symbol email martina.menon@univr.it symbol phone-number 045 8028420

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Mion Giorgio

symbol email giorgio.mion@univr.it symbol phone-number 045.802 8172

Noto Sergio

symbol email sergio.noto@univr.it symbol phone-number 045 802 8008

Perali Federico

symbol email federico.perali@univr.it symbol phone-number 045 802 8486

Ricciuti Roberto

symbol email roberto.ricciuti@univr.it symbol phone-number 0458028417

Rossi Francesca

symbol email francesca.rossi_02@univr.it symbol phone-number 045 802 8098

Russo Ivan

symbol email ivan.russo@univr.it symbol phone-number 045 802 8161 (VR)

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0458028492

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186
Virginia Vannucci,  October 25, 2020

Vannucci Virginia

symbol email virginia.vannucci@univr.it

Zago Angelo

symbol email angelo.zago@univr.it symbol phone-number 045 802 8414

Zoli Claudio

symbol email claudio.zoli@univr.it symbol phone-number 045 802 8479

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.

activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
1 module between the following
Stage
3
F
-
Final exam
12
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
Between the years: 1°- 2°
Further language skills
3
F
-

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S008983

Coordinator

Francesca Rossi

Credits

9

Language

English en

Scientific Disciplinary Sector (SSD)

SECS-P/05 - ECONOMETRICS

Period

primo semestre (lauree magistrali) dal Oct 5, 2020 al Dec 23, 2020.

Learning outcomes

Econometrics is the application of statistics and mathematics to economic and business data. In today’s world data are largely available and econometric techniques are crucially important to conducting reliable data analyses in private and public institutions. This course introduces students to regression methods for cross-sectional, time series, and panel data in order to analyze data in business and economics. After presenting the basic theoretical features of each method, the module will offer students the opportunity to practically implement estimation and hypothesis testing techniques in various empirical contexts. The main goal of the course is to provide students with a solid background in econometrics, to stimulate their abilities to apply such techniques on diverse datasets, and to enable them to critically analyze empirical studies in economics, business, and finance.

Program

The content of this module will be a balanced mixture of theoretical topics and their empirical application to real dataset. The practical applications involving the use of a statistics/econometrics software will be based on R.

The main topics will be as follow.

Simple linear regression model: model assumptions, ordinary least squares (OLS) and its statistical properties.
Multiple regression model: model assumptions, interpretation of estimates, multicollinearity.
Hypothesis testing: t-tests, F-tests and their distribution.
Dummy variables: definition of intercept and slope dummy variables, and interpretation of coefficients.
Heteroskedasticity: consequence of heteroscedasticity, robust standard errors, testing for heteroskedasticity.
Model misspecification: omitted variable bias, inclusion of irrelevant variables, non-linearity in the regressors.
Endogeneity and instrumental variables: random regressors, definition of endogeneity, instrumental variable estimator (IV), two stages least squares, measurement error, omitted variables and their IV solution, testing for endogeneity.
Simultaneous equations: identification problem, IV solution to simultaneity.
Binary dependent variables: linear probability model, interpretation of coefficients and limitation of this approach. Probit and Logit models.
Time series models: model assumptions, static models, distributed lag models.
Serial correlation: definition of serial correlation, consequences, robust standard errors, testing for serial correlation. Discussion on non stationary time series: consequences of non-stationarity and testing for unit roots.
Panel data analysis: definition of panel dataset, pooled OLS, analysis via differencing, fixed effect and random effects.


Reference texts
Author Title Publishing house Year ISBN Notes
Wooldridge J.M. Introductory Econometrics: A Modern Approach (Edizione 6) South-western Cengage Learning 2015 Altre edizioni di questo testo sono ugualmente valide

Examination Methods

The exam will be a 2-hour written examination. Students will have to answer questions on theory and practice related to the whole program. In addition, students will be asked to carry out a small empirical application by working in groups. Details of the group project will be extensively discussed at the beginning of the course.

More accurate information on lectures and examination will be provided as soon as additional details on the ongoing sanitary emergency will be known.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Type D and Type F activities

primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
Future matters D Alessandro Bucciol (Coordinator)
Future matters D Alessandro Bucciol (Coordinator)
primo semestre (lauree magistrali) From 10/5/20 To 12/23/20
years Modules TAF Teacher
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinator)
The fashion lab (2 ECTS) D Maria Caterina Baruffi (Coordinator)
The fashion lab (3 ECTS) D Maria Caterina Baruffi (Coordinator)
1° 2° Introduction to the use of R - 2020/21 D Francesca Rossi (Coordinator)
secondo semestre (lauree) From 2/15/21 To 6/1/21
years Modules TAF Teacher
Design and Evaluation of Economic and Social Policies D Federico Perali (Coordinator)
Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinator)
Soft skills coaching days Vicenza (terza edizione) - 2020/2021 D Paola Signori (Coordinator)
Wake up Italia - 2020/2021 D Sergio Noto (Coordinator)
secondo semestre (lauree magistrali) From 3/1/21 To 6/1/21
years Modules TAF Teacher
Professional Communication for Economics D Claudio Zoli (Coordinator)
Transactional skills in business law - 2020/2021 D Caterina Fratea (Coordinator)
1° 2° Bases of data visualization. A software-free introduction - 2020/21 D Angelo Zago (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Business & predictive analytics for international firms with Excel applications - 2020/21 D Angelo Zago (Coordinator)
Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinator)
Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinator)
Integrated Financial Planning - 2020/21 D Riccardo Stacchezzini (Coordinator)
Marketing plan - 2020/21 D Virginia Vannucci (Coordinator)
1° 2° Corso di lingua tedesca - livello a1 (1 cfu) - 2020 (2020/2021) D Giorgio Mion (Coordinator)
1° 2° Corso di lingua tedesca - livello a1 (3 cfu) - 2020 (2020/2021) D Giorgio Mion (Coordinator)
1° 2° Data Analysis Laboratory with R (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° Advanced Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)

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.

Linguistic training CLA


Internships


Gestione carriere


Student login and resources


Prova finale

La prova finale consiste in un elaborato in forma scritta di almeno 60 cartelle, che approfondisce un tema a scelta relativo a uno degli insegnamenti previsti dal piano didattico dello studente. Il tema e il titolo dell’elaborato dovranno essere selezionati in accordo con un docente dell’Ateneo di un SSD fra quelli presenti nel piano didattico dello studente. Il lavoro deve essere sviluppato sotto la guida del docente. La tesi è oggetto di esposizione e discussione orale, in una delle date appositamente stabilite dal calendario delle attività didattiche, dinanzi a una Commissione di Laurea nominata ai sensi del RDA. In accordo con il Relatore, la tesi potrà essere redatta e la discussione potrà svolgersi in lingua inglese.

Per maggiori informazioni e la consultazione delle scadenze e delle commissioni di laurea si rimanda all'apposita sezione dei Servizi di Segreteria studenti.

List of thesis proposals

theses proposals Research area
PMI (SMES) and financial performance MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES
I modelli organizzativi ex. d.lgs 231/2001: diffusione sul territorio Various topics

Modalità di frequenza, erogazione della didattica e sedi

Le lezioni di tutti gli insegnamenti del corso di studio, così come le relative prove d’esame, si svolgono in presenza.

Peraltro, come ulteriore servizio agli studenti, è altresì previsto che, salvo diversa comunicazione del singolo docente, le lezioni siano videoregistrate e che vengano messe a disposizione sui relativi spazi e-learning degli insegnamenti alcune settimane dopo il loro svolgimento. Eccezioni a questa tempistica saranno possibili solo nel caso degli studenti a tempo parziale.

La frequenza non è obbligatoria.

Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.

È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.

La sede di svolgimento delle lezioni e degli esami è l'University Hub