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 Magistrali Oct 2, 2017 Dec 22, 2017
Secondo Semestre Magistrali Feb 26, 2018 May 25, 2018
Exam sessions
Session From To
Esami sessione invernale Magistrali Jan 8, 2018 Feb 23, 2018
Esami sessione estiva Magistrali May 28, 2018 Jul 6, 2018
Esami sessione autunnale 2018 Aug 27, 2018 Sep 14, 2018
Degree sessions
Session From To
Lauree sessione autunnale (validità a.a. 2016/17) Nov 27, 2017 Nov 28, 2017
Lauree sessione invernale (validità a.a. 2016/17) Apr 4, 2018 Apr 6, 2018
Lauree sessione estiva (validità a.a. 2017/18) Sep 10, 2018 Sep 11, 2018
Holidays
Period From To
All Saints Day Nov 1, 2017 Nov 1, 2017
Festa Immacolata Concezione Dec 8, 2017 Dec 8, 2017
attività sospese (Natale) Dec 23, 2017 Jan 7, 2018
Easter break Mar 30, 2018 Apr 3, 2018
Liberation Day Apr 25, 2018 Apr 25, 2018
attività sospese (Festa dei lavoratori) Apr 30, 2018 Apr 30, 2018
Labour Day May 1, 2018 May 1, 2018
Festa Patronale May 21, 2018 May 21, 2018
attività sospese estive Aug 6, 2018 Aug 24, 2018

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 C D F G M N P R S Z

Baccarani Claudio

symbol email claudio.baccarani@univr.it

Bellia Marco

symbol email marco.bellia@univr.it

Berton Marina

symbol email marina.berton@univr.it

Bonfanti Angelo

symbol email angelo.bonfanti@univr.it symbol phone-number 045 802 8292

Brunetti Federico

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

Capitello Roberta

symbol email roberta.capitello@univr.it symbol phone-number 045 802 8488

Castellani Paola

symbol email paola.castellani@univr.it symbol phone-number 045 802 8127

Cavallo Daniela

symbol email daniela.cavallo@univr.it

Corbella Silvano

symbol email silvano.corbella@univr.it

Dalla Rosa Elisa

symbol email elisa.dallarosa@univr.it

Ferrari Maria Luisa

symbol email marialuisa.ferrari@univr.it symbol phone-number 045 802 8532

Gaeta Davide Nicola Vincenzo

symbol email davide.gaeta@univr.it symbol phone-number 045 683 5632

Goldoni Giovanni

symbol email giovanni.goldoni@univr.it symbol phone-number +390458028792

Grossi Luigi

symbol email luigi.grossi@univr.it symbol phone-number 045 802 8247

Guerriero Massimo

symbol email massimo.guerriero@univr.it

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

Moggi Sara

symbol email sara.moggi@univr.it symbol phone-number 045 802 8290

Noto Sergio

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

Rossi Stefano

symbol email stefano.rossi@univr.it

Russo Ivan

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

Secondulfo Domenico

symbol email domenico.secondulfo@univr.it - domenico.secondulfo3@gmail.com

Signori Paola

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

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186

Zardini Alessandro

symbol email alessandro.zardini@univr.it symbol phone-number 045 802 8565

Zarri Luca

symbol email luca.zarri@univr.it symbol phone-number 045 802 8101

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.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
Stage
6
F
-

2° Year   activated in the A.Y. 2018/2019

ModulesCreditsTAFSSD
Final exam
15
E
-
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
Final exam
15
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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

4S00522

Coordinator

Luigi Grossi

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

Primo Semestre Magistrali dal Oct 2, 2017 al Dec 22, 2017.

Learning outcomes

During the course, the main sources of official data will be studied and the main sampling techniques analyzed. The liner regression model will be introduced as one of the main statistical tools to examine collected data and for sales forecasting. Students will be provided with the cutting-edge statistical theory on sampling and linear regression model. These tools will then be applied to carry out market research.

Program

1. Market research:
- Definitions, purposes and limits.
- Case studies related to market research
- Statistical methods for market research
- The main steps of a market survey.


2. Data sources for market surveys
- Primary and secondary data sources.
- Secondary data 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-sampling errors

4. Questionnaire construction and interviewing techniques.
- Self-administered questionnaires
- Assisted interview
- Computer-assisted personal interview
- Web interview

5. The regression model for marketing and sales forecasting
- Simple regression model: definition and hypotheses
- Parameter estimation and tests
- Residual analysis
- Goodness of fitting
- Estimation of trend using polynomial functions
- Polynomial degree choice
- Sales forecasting using the regression model


The interaction with students will be encouraged by discussing real business cases. Students are also expected to present short business cases through the solution of exercises. All slides projected during lessons will be made available on the e-learning platform before the beginning of the course. For this reason, students are strongly invited to register to the e-learning page of the course. Lectures will be recorded. Videos will be made available the next few days to allow students to revise or to attend lessons to which they have not been able to join directly. The availability of videos is also extended to all students who are unable to attend for work reasons or because they are abroad within the Erasmus program.


Suggested books
- Bassi F. (2009, I Ristampa), Analisi di mercato: Strumenti statistici per le decisioni di marketing (Edizione I), Carocci editore.
- Bracalente B. , M. Cossignani, A. Mulas (2009), Statistica Aziendale, McGraw-Hill.
- Biggeri Luigi , Matilde Bini , Alessandra Coli , Laura Grassini , M. Maltagliati (2017), Statistica per le decisioni aziendali. Ediz. mylab. Con eText, edito da Pearson Education Italia.



Reference texts
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 I ristampa
B. Bracalente, M. Cossignani, A. Mulas Statistica Aziendale McGraw-Hill 2009

Examination Methods

Both the student's preparation will be evaluated as well as its ability to interpret and evaluate the results of the analyses based on the topics taught during the course.

The written test is compulsory. The structure of the test is as follows:
- one open question (up to 10 points, out of 30),
- two numerical exercises (up to 20 points, out of 30). Data will be provided for the solution of real case-studies using the basic tools learned during classes.
The oral test is optional.

Optional activity (attending students only)
Every attending student is given the opportunity to solve an exercise on the topics illustrated in the classroom. Students could ask the teacher to solve an exercise in front of the other students about the topics studied during the course. The interested students are kindly asked to contact the main instructor of the course.
The score (up to 2 points) will be added to the score of the written test.

The procedure is as follows:

- Reservation by students is done by sending an e-mail to the teacher. The deadline expires on 9 October 2017.
- The student is given an exercise by the teacher. Presentation of the solution will start from the beginning of November 2017.
- The presentation of the solution is delivered in the classroom using power point.


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

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.

Linguistic training CLA


Graduation

List of theses and work experience 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