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 Magistrali Sep 26, 2016 Jan 13, 2017
Secondo Semestre Magistrali Feb 27, 2017 Jun 1, 2017
Exam sessions
Session From To
Appelli esami sessione invernale Jan 16, 2017 Feb 17, 2017
Appelli esami sessione estiva Jun 5, 2017 Jul 7, 2017
Appelli esami sessione autunnale Aug 28, 2017 Sep 15, 2017
Degree sessions
Session From To
Sessione autunnale Nov 30, 2016 Dec 1, 2016
Sessione invernale Apr 5, 2017 Apr 7, 2017
Sessione estiva Sep 11, 2017 Sep 13, 2017
Holidays
Period From To
Vacanze natalizie Dec 23, 2016 Jan 5, 2017
Vacanze pasquali Apr 14, 2017 Apr 18, 2017
Vacanze estive Aug 7, 2017 Aug 25, 2017

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 D F L M N P S T Z

Bozzola Marco

marco.bozzola@univr.it 0458312510

Broglia Angela

angela.broglia@univr.it 045 802 8240

Campedelli Bettina

bettina.campedelli@univr.it 045 802 8416

Corbella Silvano

silvano.corbella@univr.it 045 802 8217

Duret Paolo

paolo.duret@univr.it 0458028873

Farinon Paolo

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

Florio Cristina

cristina.florio@univr.it 045 802 8296

Lai Alessandro

alessandro.lai@univr.it 045 802 8574

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

Mussini Mauro

mauro.mussini@univr.it

Noto Sergio

elefante@univr.it 045 802 8008

Pasquariello Federica

federica.pasquariello@univr.it 045 802 8233

Polin Veronica

veronica.polin@univr.it 045 802 8267

Stacchezzini Riccardo

riccardo.stacchezzini@univr.it 045 802 8186

Testa Federico

federico.testa@univr.it +39 045 802 8221

Zarri Luca

luca.zarri@univr.it 045 802 8101

Zerbato Stefania

s.zerbato@pagroup.it 045 8780155

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.

CURRICULUM TIPO:
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 Magistrali dal Sep 26, 2016 al Jan 13, 2017.

Learning outcomes

The course aims at providing students with the statistical methods for the analysis of business data from different areas of a firm, supporting the decision making process within a firm. Topics are introduced by illustrating common business issues whose solutions can be found by applying statistical methods. By the end of the course, students will be able to:
- select the proper statistical method for a specific business analysis;
- perform preliminary analysis of business data, and organize data in a data structure useful for the following statistical analysis;
- apply univariate and multivariate statistical methods to business data;
- interpret results and provide managers with synthetic information for business 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
- Productivity indices

Statistical methods for analysing business data:
- Data matrix and preliminary data analysis: outlier detection and missing data imputation
- Association measures between categorical and ordinal variables, with application to Market Basket Analysis
- Distance measures for quantitative and categorical data
- Analysis of business results by using simple linear regression

Multivariate statistical analysis of customer and business data:
- Cluster Analysis
- Principal Components Analysis
- Conjoint Analysis

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

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


Suggested book: B. Bracalente, M. Cossignani, A. Mulas (2009) Statistica Aziendale, McGraw-Hill, Milano.

Reference texts
Author Title Publishing house Year ISBN Notes
B. Bracalente, M. Cossignani, A. Mulas Statistica Aziendale McGraw-Hill 2009

Examination Methods

A mandatory written exam and an optional oral exam. Written exam is broken down into two parts:
- The first part comprises short-answer questions about the various topics of the course.
- The second part comprises i) an open question about a specific 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.
Oral exam is optional and a cut-off score on the written exam is required to do the oral exam.

Bibliography

Type D and Type F activities

Academic year:
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° Excel Laboratory (Verona) D Marco Minozzo (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.

Further services

I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.


Linguistic training CLA


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


Gestione carriere


Area riservata studenti