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.

A.A. 2017/2018

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 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 Enrolment FAQs

Academic staff

B C F L M N P R S T Z

Bonfanti Angelo

angelo.bonfanti@univr.it 045 802 8292

Bozzola Marco

marco.bozzola@univr.it 0458312510

Campedelli Bettina

bettina.campedelli@univr.it 045 802 8416

Corbella Silvano

silvano.corbella@univr.it 045 802 8217

Farinon Paolo

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

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

Moggi Sara

sara.moggi@univr.it 045 802 8290

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

Zardini Alessandro

alessandro.zardini@univr.it 045 802 8565

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
6
B
(SECS-S/03)
2 modules to be chosen from the following
9
B
(SECS-P/07)
9
B
(SECS-P/08)
1 module to be chosen from the following
6
F
(-)
ModulesCreditsTAFSSD
1 module to be chosen from the following
2 modules to be chosen from the following
9
C
(SECS-P/08)
1 module to be chosen from the following
9
B
(SECS-P/07)
9
B
(SECS-P/08)
Final exam
15
E
(-)

1° Year

ModulesCreditsTAFSSD
6
B
(SECS-S/03)
2 modules to be chosen from the following
9
B
(SECS-P/07)
9
B
(SECS-P/08)
1 module to be chosen from the following
6
F
(-)

2° Year

ModulesCreditsTAFSSD
1 module to be chosen from the following
2 modules to be chosen from the following
9
C
(SECS-P/08)
1 module to be chosen from the following
9
B
(SECS-P/07)
9
B
(SECS-P/08)
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

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Language

Italian

Period

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

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
- Measures of real and nominal variations in economic aggregates
- Measures of productivity variation
- Turnover rates
- Career transition measures

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

Statistical quality control in business
- Control chart for variables
- Control chart for attributes
- Process capability ratios
- 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 forecasting

The course is organized in frontal lessons. The exam preparation material includes the recommended textbook and additional materials available on the e-learning platform of the course.

Bibliografia

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 mandatory written exam and an optional oral exam. Only students with a score equal to or higher than 18/30 on the written exam can take the oral exam.

Exam purposes
The written exam (mandatory) assesses the level of knowledge of the course topics, and the ability to apply statistical methods for business and the interpretation of results.
The oral exam (optional) assesses:
- level of student’s knowledge;
- lexical proficiency;
- analytical skills.


Exam contents
Written exam is broken down into two parts:
- The first part comprises short-answer questions about all 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 covers all topics of the course.



Assessment criteria
The exam score is on a 30-point scale. The first part of the written test awards up to 10 points, out of 30. The second part of the written test awards up to 20 points, out of 30. The passing score for the written exam is 18/30. Only students who passed the written exam (mandatory) can take the oral exam (optional).
The final score is on a 30-point scale.

Type D and Type F activities

Academic year:

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.

Gestione carriere


Internships


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

Area riservata studenti


Linguistic training CLA


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.