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..

Academic year:
Definition of lesson periods
Period From To
primo semestre lauree magistrali Oct 1, 2018 Dec 21, 2018
secondo semestre lauree magistrali Feb 25, 2019 May 31, 2019
Exam sessions
Session From To
sessione invernale lauree magistrali Jan 7, 2019 Feb 22, 2019
sessione estiva lauree magistrali May 27, 2019 Jul 5, 2019
Sessione autunnale Aug 26, 2019 Sep 13, 2019
Degree sessions
Session From To
Sessione autunnale (validità a.a. 2017/18) Dec 6, 2018 Dec 7, 2018
Sessione invernale (validità a.a. 2017/18) Apr 3, 2019 Apr 5, 2019
Sessione estiva (validità a.a. 2018/19) Sep 10, 2019 Sep 11, 2019
Holidays
Period From To
Festa di Ognissanti Nov 1, 2018 Nov 1, 2018
Festa dell’Immacolata Dec 8, 2018 Dec 8, 2018
Vacanze di Natale Dec 22, 2018 Jan 6, 2019
Vacanze di Pasqua Apr 19, 2019 Apr 23, 2019
Festa della liberazione Apr 25, 2019 Apr 25, 2019
Festa del lavoro May 1, 2019 May 1, 2019
Festa del Santo Patrono - S. Zeno May 21, 2019 May 21, 2019
Attività sospese (vacanze estive) Aug 5, 2019 Aug 23, 2019

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 Enrolment FAQs

Academic staff

B C F L M N O P R S V Z

Bozzola Marco

marco.bozzola@univr.it 0458312510

Broglia Angela

angela.broglia@univr.it 045 802 8240

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Campedelli Bettina

bettina.campedelli@univr.it 045 802 8416

Cantele Silvia

silvia.cantele@univr.it 045 802 8220 (VR) - 0444 393943 (VI)

Castellani Paola

paola.castellani@univr.it 045 802 8127

Confente Ilenia

ilenia.confente@univr.it 045 802 8174

Corbella Silvano

silvano.corbella@univr.it 045 802 8217

Farinon Paolo

paolo.farinon@univr.it 045 802 8169 (VR) 0444/393939 (VI)

Fiorentini Riccardo

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

Lai Alessandro

alessandro.lai@univr.it 045 802 8574

Lubian Diego

diego.lubian@univr.it 045 802 8419

Messina Sebastiano Maurizio

sebastianomaurizio.messina@univr.it 045 802 8052

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Mion Giorgio

giorgio.mion@univr.it 045.802 8172

Moggi Sara

sara.moggi@univr.it 045 802 8290

Mussini Mauro

mauro.mussini@univr.it

Noto Sergio

elefante@univr.it 045 802 8008

Ortoleva Maria Grazia

mariagrazia.ortoleva@univr.it 045 802 8052

Pasquariello Federica

federica.pasquariello@univr.it 045 802 8233

Polin Veronica

veronica.polin@univr.it 045 802 8267

Renò Roberto

roberto.reno@univr.it 045 802 8526

Signori Paola

paola.signori@univr.it 0444 393942 (VI) 045 802 8492 (VR)

Stacchezzini Riccardo

riccardo.stacchezzini@univr.it 045 802 8186

Vigolo Vania

vania.vigolo@univr.it 045 802 8624

Zago Angelo

angelo.zago@univr.it 045 802 8414

Zarri Luca

luca.zarri@univr.it 045 802 8101

Zoli Claudio

claudio.zoli@univr.it 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 enrolment year.

ModulesCreditsTAFSSD
2 modules to be chosen from the following
1 module to be chosen from the following
Stage
6
F
-
ModulesCreditsTAFSSD
1 module to be chosen from the following
1 module to be chosen from the following
2 modules to be chosen from the following
Final exam
15
E
-

1° Year

ModulesCreditsTAFSSD
2 modules to be chosen from the following
1 module to be chosen from the following
Stage
6
F
-

2° Year

ModulesCreditsTAFSSD
1 module to be chosen from the following
1 module to be chosen from the following
2 modules to be chosen from the following
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.




SPlacements in companies, public or private institutions and professional associations

Teaching code

4S00522

Coordinatore

Mauro Mussini

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Period

primo semestre lauree magistrali dal Oct 1, 2018 al Dec 21, 2018.

Learning outcomes

The course aims at providing the knowledge needed to collect and analyse useful data for business management, supporting the decision-making process within a firm. In a business environment that needs to analyse increasing amounts of data, the application of appropriate statistical methods to business data provides information supporting management decisions. The course intends to discuss the rationale behind the application of statistical methods to business data and to explain their application fields. On these premises, topics are introduced by considering the information needs that can be met through statistical methods, focusing on the reasons for applying statistical tools to practical cases. The definition of the data describing a business concept and the selection of the relevant data source are necessary to meet the information needs above.
By the end of the course, students are expected to acquire:
- the knowledge of the data sources that can be used to meet information needs;
- the knowledge of the statistical methods for business analysis, according to available data and information needs;
- the ability to apply univariate and multivariate statistical methods to data;
- the ability to interpret results and provide information supporting management decisions.

Program

Data sources and statistical information for business:
- Primary and secondary data
- Internal and external sources of data

Economic and business indicators:
- Simple index numbers
- Composite index numbers
- Consumer price indices and producer price indices
- Turnover rates
- Career transition measures
- Measures of productivity variation

Descriptive statistics for analysing business data:
- Market basket analysis
- Correlation between business variables
- Distance measures between statistical units

Multivariate statistical analysis for business data and company business performances:
- Multiple and simple linear regression models for analysing business performances
- Cluster analysis on business data
- Principal components analysis on accounting ratios

Introduction to statistical quality control:
- Process capability ratios
- Analysis of variance
- Control charts for variables
- Statistical sampling in auditing

Business forecasting:
- Smoothing techniques: moving averages and exponential smoothing
- Techniques for decomposing economic time series applied to business forecasting


The course is organized in frontal lectures.

Lecture slides and other learning materials are available on the e-learning website.

Reference texts
Author Title Publishing house Year ISBN Notes
Luigi Biggeri, Matilde Bini, Alessandra Coli, Laura Grassini, Mauro Maltagliati Statistica per le decisioni aziendali (Edizione 2) Pearson Italia 2017

Examination Methods

The assessment of learning outcomes consists of a written exam.


Exam purposes
The written exam assesses the level of knowledge of the course topics, the ability to apply statistical methods for business and the interpretation of results.


Exam contents
Written exam comprises i) an open question about a topic of the course, ii) two exercises in which students are asked to apply statistical methods for business data analysis and to interpret the results.


Assessment criteria
The exam score is on a 30-point scale.

Type D and Type F activities

Academic year:
List of courses with unassigned period
years Modules TAF Teacher
SFIDE - Europe D Claudio Zoli (Coordinatore)
1° 2° Advanced risk and portfolio management bootcamp (online) (3 cfu) D Roberto Renò (Coordinatore)
1° 2° Advanced risk and portfolio management bootcamp (onsite) (6 cfu) D Roberto Renò (Coordinatore)
1° 2° Convegno "gli scambi commerciali con l'estero: questioni fiscali, doganali e contrattuali" D Sebastiano Maurizio Messina (Coordinatore)
1° 2° Ineka conference 2019 teamworking membership D Federico Brunetti (Coordinatore)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° Social responsibility model for the restaurants' ecosystems D Silvia Cantele (Coordinatore)
1° 2° Polis - festival biblico in universita' D Giorgio Mion (Coordinatore)
1° 2° Programming in Matlab D Diego Lubian (Coordinatore)
1° 2° Programming in R D Diego Lubian (Coordinatore)
1° 2° Programming in SAS D Diego Lubian (Coordinatore)
1° 2° Programming Stata (3 cfu) D Diego Lubian (Coordinatore)
1° 2° Quality and problem solving in business organizations D Paola Castellani (Coordinatore)
1° 2° La competitività regionale e le sue risorse endogene: il concetto di capitale territoriale D Riccardo Fiorentini (Coordinatore)
1° 2° Soft skills in action D Paola Signori (Coordinatore)
1° 2° 3° Marketing Plan D Ilenia Confente (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.

Graduation

List of theses and work experience proposals

theses proposals Research area
Analisi dell'Impatto della Regolamentazione: potenziale e applicazioni concrete Various topics
Costs and benefits of the new Turin-Lyon railway line Various topics
Costs and benefits of new systems for speed control on italian motorways Various topics
Il futuro del corporate reporting (COVID19) Various topics
I Modelli di Organizzazione, Gestione e Controllo ex d.lgs. 231/2001 Various topics
Contingent valuation for the quality of hospital characteristics Various topics
Evaluating occupational impacts of large investment projects Various topics
Valutazioni d'azienda Various topics

Internships


Linguistic training CLA


Gestione carriere


Area riservata studenti