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 | Sep 28, 2015 | Jan 8, 2016 |
| secondo semestre | Feb 18, 2016 | May 28, 2016 |
| Secondo Semestre Magistrali | Feb 22, 2016 | Jun 1, 2016 |
| Session | From | To |
|---|---|---|
| appelli sessione invernale | Jan 11, 2016 | Feb 13, 2016 |
| appelli sessione estiva | Jun 6, 2016 | Jul 9, 2016 |
| Appelli sessione autunnale | Aug 29, 2016 | Sep 16, 2016 |
| Session | From | To |
|---|---|---|
| sessione autunnale | Dec 11, 2015 | Dec 18, 2015 |
| sessione invernale | Apr 6, 2016 | Apr 8, 2016 |
| sessione estiva | Sep 13, 2016 | Sep 14, 2016 |
| Period | From | To |
|---|---|---|
| vacanze natalizie | Dec 23, 2015 | Jan 5, 2016 |
| vacanze pasquali | Mar 25, 2016 | Mar 29, 2016 |
| vacanze estive | Aug 8, 2016 | Aug 27, 2016 |
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 Enrollment FAQs
Academic staff
claudio.baccarani@univr.it
marco.bellia@univr.it
marina.berton@univr.it
045 802 8494
daniela.cavallo@univr.it
silvano.corbella@univr.it
elisa.dallarosa@univr.it
Mussini Mauro
mauro.mussini@univr.it
paolo.pasquetto@univr.it
stefano.rossi@univr.it
domenico.secondulfo@univr.it - domenico.secondulfo3@gmail.com
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 |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| 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.
Statistics & market research (2016/2017)
Teaching code
4S02514
Teacher
Credits
9
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/03 - ECONOMIC STATISTICS
Period
Primo semestre Magistrali dal Sep 26, 2016 al Jan 13, 2017.
Learning outcomes
The main goal of the course is to provide the students with the cutting-edge statistical theory on surveys. These tools will then be applied to carry out market research.
Program
1. Market researches:
- Definitions, aims and limits.
- Case studies related to market researches
- Statistical methods for market researches
- The main steps of a market survey.
2. Data sources for market surveys
- Primary and secondary information sources.
- Secondary informationn sources: internal and external
- Official statistical data.
- Main databases for marketing research(Infocamere, Cerved, AIDA, ecc.)
- Agency data (GfK-Eurisko, ACNielsen Italia)
- Panel surveys
3. Random and non-random sampling designs
- Review of estimation theory
- Definition of sampling design
- Random sampling designs
- Non random sampling designs
- Sampling and non-samplig errors
4. Questionnaire construction and interviewing techniques.
- Self-amministered questionnaires
- Assisted interview
- Computer assisted personal interview
- Web interview
5. The mutiple regression model for marketing and sales forecasting
- Simple regression model : definition and hypotheses
- Parameter estimation and tests
- Residual analysis
- Goodness of fitting
- Multiple regression model
- Estimation of trend using polynomial functions
- Polynomial degree choice
- Sales forecasting using the regression model
Suggested book
Bassi F. (2008), Analisi di mercato: Strumenti statistici per le decisioni di marketing (Edizione I), Carocci editore.
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Francesca Bassi | Analisi di mercato: Strumenti statistici per le decisioni di marketing (Edizione 2) | Carocci editore | 2009 | 978-88-430-4427-6 | |
| B. Bracalente, M. Cossignani, A. Mulas | Statistica Aziendale | McGraw-Hill | 2009 |
Examination Methods
Written exam. Oral exam is optional.
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.
Linguistic training CLA
Graduation
List of thesis proposals
| theses proposals | Research area |
|---|---|
| Brand identity e corporate brand storytelling | Various topics |
| Il futuro del corporate reporting (COVID19) | Various topics |
| Le scelte alimentari dei giovani italiani: quanto è importante la sostenibilità? | Various topics |
| Nuovi scenari e nuovi contesti di acquisto e consumo di bevande alcoliche | Various topics |
| Sfide e opportunità del contesto digitale | Various topics |
| Tesi di Laurea in Economia Comportamentale | Various topics |
Internships
Gestione carriere
Student login and resources
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 tali lezioni siano registrate e che le registrazioni vengano messe a disposizione sui relativi moodle degli insegnamenti, salvo diversa comunicazione del singolo docente.
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.
Le sedi di svolgimento delle lezioni e degli esami sono le seguenti
