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. 2019/2020

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 30, 2019 Dec 20, 2019
secondo semestre magistrali Feb 24, 2020 May 29, 2020
Exam sessions
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
Degree sessions
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.

Exam calendar

Should you have any doubts or questions, please check the Enrolment FAQs

Academic staff

B C F L M N P S V Z

Bazzani Claudia

claudia.bazzani@univr.it 0458028734

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

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Campedelli Bettina

bettina.campedelli@univr.it 045 802 8416

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)

Florio Cristina

cristina.florio@univr.it 045 802 8296

Lai Alessandro

alessandro.lai@univr.it 045 802 8574

Menon Martina

martina.menon@univr.it 045 802 8420

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

Noto Sergio

elefante@univr.it 045 802 8008

Pasquariello Federica

federica.pasquariello@univr.it 045 802 8233

Perali Federico

federico.perali@univr.it 045 802 8486

Polin Veronica

veronica.polin@univr.it 045 802 8267

Santi Flavio

flavio.santi@univr.it 045 802 8239

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

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

1° Year

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

2° Year

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

Teacher

Flavio Santi

Coordinatore

Flavio Santi

Credits

6

Scientific Disciplinary Sector (SSD)

SECS-S/03 - ECONOMIC STATISTICS

Language

Italian

Period

primo semestre magistrali dal Sep 30, 2019 al Dec 20, 2019.

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
- probabilistic sampling for market survey

Economic and business indicators:
- simple and composite index numbers
- turnover rates
- measures of productivity variation
- transition matrices and career transition measures

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

Introduction to statistical quality control:
- process capability ratios
- analysis of variance
- control charts for variables

Multivariate statistical analysis for business data and company business performances:
- simple linear regression models
- multiple linear regression models
- logistic regression models
- principal components analysis on accounting ratios
- cluster analysis

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

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
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

The assessment of learning outcomes consists in a written examination.

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

Structure of the examination
The examination consists of multiple choice questions, questions which requires a numerical response, and open-ended questions. All kinds of questions may be focussed on theoretical and methodological issues, may consist in exercises, or may require the student to discuss and analyse some practical problem using notions and tools learned throughout the course.

All students getting a grade equal to or larger than 15/30 are allowed to take an optional oral examination which completes the evaluation of the acquired knowledge. The final grade may be equal, higher or lower than the grade got on the written part of the exam.


Assessment criteria
The examination score is on a 30-point scale (passing mark: 18).

Type D and Type F activities

Academic year:
Second semester bachelor degree From 2/17/20 To 6/5/20
years Modules TAF Teacher
1° 2° Enactus Verona 2020 D Paola Signori (Coordinatore)
1° 2° Parlare in pubblico e economic writing D Martina Menon (Coordinatore)
1° 2° Samsung Innovation Camp D Marco Minozzo (Coordinatore)
1° 2° Simulation and Implementation of Economic Policies D Federico Perali (Coordinatore)
secondo semestre magistrali From 2/24/20 To 5/29/20
years Modules TAF Teacher
1° 2° Predictive analytics for business decisions - 2019/20 D Claudio Zoli (Coordinatore)
1° 2° Professional communication for economics - 2019/20 D Claudio Zoli (Coordinatore)
1° 2° Parlare in pubblico e economic writing D Martina Menon (Coordinatore)
1° 2° Regulation, procurement and competition - 2019/20 D Claudio Zoli (Coordinatore)
1° 2° Simulation and Implementation of Economic Policies D Federico Perali (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° English for business and economics D Claudio Zoli (Coordinatore)
1° 2° Il Futuro Conta! D Alessandro Bucciol (Coordinatore)
1° 2° Il Futuro Conta! D Alessandro Bucciol (Coordinatore)
1° 2° Data Analysis Laboratory with R D Marco Minozzo (Coordinatore)
1° 2° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinatore)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° Data Science Laboratory with SAP 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° The fashion lab (1 ECTS) D Angela Broglia (Coordinatore)
1° 2° The fashion lab (2 ECTS) D Angela Broglia (Coordinatore)
1° 2° The fashion lab (3 ECTS) D Angela Broglia (Coordinatore)
1° 2° Methods and tools to support strategic marketing and business management decisions - 2019 D Claudia Bazzani (Coordinatore)
1° 2° Marketing Plan D Ilenia Confente (Coordinatore)
1° 2° Presente e futuro del pianeta D Federico Brunetti (Coordinatore)
1° 2° Programming in Matlab D Marco Minozzo (Coordinatore)
1° 2° Programming in SAS D Marco Minozzo (Coordinatore)
1° 2° Robo-Ethics D Giorgio Mion (Coordinatore)
1° 2° Univero' - Job Orienteering festival D Paola Signori (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.

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


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.