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 magistrali | Sep 30, 2019 | Dec 20, 2019 |
secondo semestre magistrali | Feb 24, 2020 | May 29, 2020 |
Session | From | To |
---|---|---|
Sessione invernale magistrali | Jan 7, 2020 | Feb 21, 2020 |
Sessione estiva magistrali | Jun 3, 2020 | Jul 10, 2020 |
Autumn Session exams | Aug 24, 2020 | Sep 11, 2020 |
Session | From | To |
---|---|---|
Autumn Session | Dec 2, 2019 | Dec 4, 2019 |
Winter Session | Apr 7, 2020 | Apr 9, 2020 |
Summer session | Sep 7, 2020 | Sep 9, 2020 |
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.
Academic staff
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 |
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2° Year activated in the A.Y. 2020/2021
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Business Statistics (2019/2020)
Teaching code
4S00522
Teacher
Coordinator
Credits
9
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-S/03 - ECONOMIC STATISTICS
Period
primo semestre magistrali dal Sep 30, 2019 al Dec 20, 2019.
Learning outcomes
During the course, the main sources of official data will be studied and the main sampling techniques analyzed. The linear regression model will be introduced as one of the main statistical tools to examine survey data and for sales forecasting. Students will be provided with the cutting-edge statistical theory of sampling and linear regression model. These tools will then be applied to carry out market researches.
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.
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 | ||
Biggeri Luigi , Matilde Bini , Alessandra Coli , Laura Grassini , M. Maltagliati | Statistica per le decisioni aziendali. Ediz. mylab. Con eText | Pearson Education Italia | 2012 | 9788891902764 |
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 will be announced during classes.
- The student is given an exercise by the teacher. Presentation of the solution will start in November 2019.
- The presentation of the solution is delivered in the classroom using power point.
Type D and Type F activities
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Enactus Verona 2020 | D |
Paola Signori
(Coordinator)
|
1° 2° | Parlare in pubblico e economic writing | D |
Martina Menon
(Coordinator)
|
1° 2° | Samsung Innovation Camp | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Simulation and Implementation of Economic Policies | D |
Federico Perali
(Coordinator)
|
years | Modules | TAF | Teacher | |
---|---|---|---|---|
2° | Hub 34° - 2019/20 | D |
Federico Brunetti
(Coordinator)
|
|
1° 2° | Knowing and using digital marketing tools: google ads - 2019 | D |
Federico Brunetti
(Coordinator)
|
|
1° 2° | Predictive analytics for business decisions - 2019/20 | D |
Claudio Zoli
(Coordinator)
|
|
1° 2° | Professional communication for economics - 2019/20 | D |
Claudio Zoli
(Coordinator)
|
|
1° 2° | Parlare in pubblico e economic writing | D |
Martina Menon
(Coordinator)
|
|
1° 2° | Regulation, procurement and competition - 2019/20 | D |
Claudio Zoli
(Coordinator)
|
|
1° 2° | Simulation and Implementation of Economic Policies | D |
Federico Perali
(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
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