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. 2014/2015

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 Sep 15, 2014 Jan 9, 2015
secondo semestre Feb 19, 2015 May 29, 2015
Exam sessions
Session From To
prove intermedie (primo semestre) Nov 3, 2014 Nov 7, 2014
sessione invernale Jan 12, 2015 Feb 18, 2015
prove intermedie (secondo semestre) Apr 13, 2015 Apr 17, 2015
sessione estiva Jun 4, 2015 Jul 11, 2015
sessione autunnale Aug 24, 2015 Sep 9, 2015
Degree sessions
Session From To
sessione autunnale Dec 12, 2014 Dec 19, 2014
sessione invernale Apr 8, 2015 Apr 10, 2015
sessione estiva Sep 10, 2015 Sep 11, 2015
Holidays
Period From To
festività natalizie Dec 22, 2014 Jan 5, 2015
festività pasquali Apr 3, 2015 Apr 7, 2015
vacanze estive Aug 10, 2015 Aug 22, 2015

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

C D F G L M P R S

Centanni Silvia

silvia.centanni@univr.it 045 8425460

Cipriani Giam Pietro

giampietro.cipriani@univr.it 045 802 8271

Corbella Silvano

silvano.corbella@univr.it 045 802 8217

Demo Edoardo

edoardo.demo@univr.it 045 802 8782 (VR) 0444.393930 (VI)

Faccincani Lorenzo

lorenzo.faccincani@univr.it 045 802 8610

Ferrari Maria Luisa

marialuisa.ferrari@univr.it 045 802 8532

Fioroni Tamara

tamara.fioroni@univr.it 0458028489

Giaretta Elena

elena.giaretta@univr.it 045 802 8051

Guerrini Andrea

andrea.guerrini@univr.it 045/8028690

Guiglia Giovanni

giovanni.guiglia@univr.it 045 802 8225

Lubian Diego

diego.lubian@univr.it 045 802 8419

Malachini Luigi

luigi.malachini@univr.it 045 8054933

Mariutti Gianpaolo

gianpaolo.mariutti@univr.it 045 802 8241

Menon Martina

martina.menon@univr.it 045 802 8420

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Mion Giorgio

giorgio.mion@univr.it 045.802 8172

Mussini Mauro

mauro.mussini@univr.it

Pasquariello Federica

federica.pasquariello@univr.it 045 802 8233

Perali Federico

federico.perali@univr.it 045 802 8486

Pertile Paolo

paolo.pertile@univr.it 045 802 8438

Pilati Andrea

andrea.pilati@univr.it 045 802 8444 (VR) - 0444 393938 (VI)

Pizzamiglio Maurizio

maurizio.pizzamiglio@univr.it

Rossato Chiara

chiara.rossato@univr.it 045 802 8620

Roveda Alberto

alberto.roveda@univr.it Dip. Sc. Ec. 045 802 8096 C.I.D.E. 045 8028084

Rutigliano Michele

michele.rutigliano@univr.it 0458028610

Salomoni Alessandra

alessandra.salomoni@univr.it 045 802 8443

Sartori Fabio

fabio.sartori@univr.it

Sommacal Alessandro

alessandro.sommacal@univr.it 045 802 8716

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
9
A
(IUS/01)
9
B
(SECS-P/08)
6
B
(IUS/09)
9
A
(SECS-P/01)
9
A
(SECS-S/06)
ModulesCreditsTAFSSD
9
A
(IUS/04)
9
B
(SECS-P/01)
9
B
(SECS-P/07)
9
B
(SECS-P/07)
9
B
(SECS-P/03)
9
B
(SECS-S/01)
ModulesCreditsTAFSSD
6
B
(IUS/07)
9
C
(SECS-P/09)
9
B
(SECS-S/06)
9
B
(SECS-P/02)
9
C
(SECS-P/12)
6
S
(-)
Prova finale
3
E
(-)

1° Year

ModulesCreditsTAFSSD
9
A
(IUS/01)
9
B
(SECS-P/08)
6
B
(IUS/09)
9
A
(SECS-P/01)
9
A
(SECS-S/06)

2° Year

ModulesCreditsTAFSSD
9
A
(IUS/04)
9
B
(SECS-P/01)
9
B
(SECS-P/07)
9
B
(SECS-P/07)
9
B
(SECS-P/03)
9
B
(SECS-S/01)

3° Year

ModulesCreditsTAFSSD
6
B
(IUS/07)
9
C
(SECS-P/09)
9
B
(SECS-S/06)
9
B
(SECS-P/02)
9
C
(SECS-P/12)
6
S
(-)
Prova finale
3
E
(-)
Modules Credits TAF SSD
Between the years: 1°- 2°- 3°

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

4S00121

Credits

9

Coordinatore

Marco Minozzo

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

Language

Italian

The teaching is organized as follows:

lezione

Credits

7

Period

primo semestre

Academic staff

Marco Minozzo

esercitazione

Credits

2

Period

primo semestre

Academic staff

Mauro Mussini

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Learning outcomes

The course provides to students in economic and business sciences an introduction to probability and to descriptive and inferential statistics.
Prerequisite to the course is the mastering of a few basic mathematical concepts such as limit, derivative and integration at the level of an undergraduate first year introductory course in calculus.

Program

Descriptive Statistics: data collection and classification; data types; frequency distributions; histograms and charts; measures of central tendency; arithmetic mean, geometric mean and harmonic mean; median; quartiles and percentiles; fixed and varying base indices; Laspayres and Paasche indices; variability and measures of dispersion; variance and standard deviation; coefficient of variation; moments; indices of skewness and kurtosis; multivariate distributions; scatterplots; covariance; variance of the sum of more variables; method of least squares; least-squares regression line; Pearson’s coefficient of linear correlation r; Cauchy-Schwarz inequality; R-square coefficiente; deviance residual and deviance explained; multivariate frequency distributions; conditional distributions; chi-squared index of dependence; index of association C; Simpson’s paradox.

Probability: events, probability spaces and event trees; combinatorics; conditional probability; independence; Bayes theorem; discrete and continuous random variables; distribution function; expectation and variance; Markov and Tchebycheff inequalities; discrete uniform distribution; Bernoulli distribution; binomial distribution; Poisson distribution; geometric distribution; continuous uniform distribution; normal distribution; exponential distribution; multivariate discrete random variables; joint probability distribution; marginal and conditional probability distributions; independence; covariance; correlation coefficient; linear combinations of random variables; average of random variables; weak law of large numbers; Bernoulli’s law of large numbers for relative frequencies; central limit theorem.

Inferential Statistics: sample statistics and sampling distributions; chi-square distribution; Student-t distribution; Snedecors-F distribution; point estimates and estimators; unbiasedness; efficiency; consistency; estimate of the mean, of a proportion and of a variance; confidence intervals for a mean, for a proportion (large samples) and for a variance; hypothesis testing; one and two tails tests for a mean, for a proportion (large samples) and for a variance; hypothesis testing for differences in two means, two proportions (large samples) and two variances.

The course consists of a series of lectures (56 hours) and of twelve exercise classes (24 hours).
All classes are essential to a proper understanding of the topics of the course.
The working language is Italian.

Examination Methods

The course is considered completed if the candidate has passed the two parts of the written test.
Students must receive at least 15 out of 30 in both parts of the written test.
An intermediate examination paper on the first part of the program is planned for the beginning of November 2014.
The passing of this intermediate examination paper can entail an increase of at most three points of the result obtained in the written test during the two winter examination sessions.

Bibliografia

Reference texts
Activity Author Title Publishing house Year ISBN Notes
lezione M. R. Middleton Analisi statistica con Excel Apogeo, Milano 2004
lezione F. P. Borazzo, P. Perchinunno Analisi statistiche con Excel Pearson, Education 2007
lezione S. Bernstein, R. Bernstein Calcolo delle Probabilita', Collana Schaum's, numero 110. McGraw-Hill, Milano 2003
lezione A. Azzalini Inferenza Statistica: Una presentazione basata sul concetto di verosimiglianza (Edizione 2) Springer Verlag Italia 2001 9788847001305 Laurea in Matematica Applicata
lezione E. Battistini Probabilità e statistica: un approccio interattivo con Excel McGraw-Hill, Milano 2004
lezione D. Piccolo Statistica Il Mulino 2000 8815075968
lezione S. Bernstein, R. Bernstein Statistica descrittiva, Collana Schaum's, numero 109 McGraw-Hill, Milano 2003
lezione S. Bernstein, R. Bernstein Statistica inferenziale, Collana Schaum's, numero 111. McGraw-Hill, Milano 2003
lezione D. Piccolo Statistica per le decisioni Il Mulino 2004 8815097708
lezione G. Cicchitelli Statistica: principi e metodi (Edizione 2) Pearson Italia, Milano 2012 Libro di testo

Teaching materials

Type D and Type F activities

Academic year:

Modules not yet included

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


Area riservata studenti


Graduation

List of theses and work experience proposals

theses proposals Research area
Tesi di laurea - Il credit scoring Statistics - Foundational and philosophical topics
La performance delle imprese che adottano politiche di Corporate Social responsibility Various topics
La previsione della qualita' dei vini: Il caso dell'Amarone Various topics
Proposte di tesi Various topics
Tesi in Macroeconomia Various topics
tesi triennali Various topics

Student mentoring


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.