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
First semester Oct 4, 2010 Dec 22, 2010
Second semester Feb 21, 2011 May 25, 2011
Exam sessions
Session From To
Winter session Jan 10, 2011 Feb 19, 2011
Summer session May 30, 2011 Jul 9, 2011
Autumn session Aug 29, 2011 Sep 24, 2011
Holidays
Period From To
All Saints Nov 1, 2010 Nov 1, 2010
National holiday Dec 8, 2010 Dec 8, 2010
Christmas holidays Dec 22, 2010 Jan 6, 2011
Easter holidays Apr 22, 2011 Apr 26, 2011
National holiday Apr 25, 2011 Apr 25, 2011
Labour Day May 1, 2011 May 1, 2011
National holiday Jun 2, 2011 Jun 2, 2011
Summer holidays Aug 8, 2011 Aug 15, 2011

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 G L N O P R S T

Bombieri Nicola

symbol email nicola.bombieri@univr.it symbol phone-number +39 045 802 7094

Brunetti Federico

symbol email federico.brunetti@univr.it symbol phone-number 045 802 8494

Bucciol Alessandro

symbol email alessandro.bucciol@univr.it symbol phone-number 045 802 8278

Cantele Silvia

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

Chesini Giuseppina

symbol email giusy.chesini@univr.it symbol phone-number 045 802 8495 (VR) -- 0444/393938 (VI)

Corsi Corrado

symbol email corrado.corsi@univr.it symbol phone-number 045 802 8452 (VR)

Demo Edoardo

symbol email edoardo.demo@univr.it symbol phone-number 045 802 8782 (VR) 0444.393930 (VI)

Duret Paolo

symbol email paolo.duret@univr.it symbol phone-number 0458028873

Farinon Paolo

symbol email paolo.farinon@univr.it symbol phone-number 045 802 8169 (VR) 0444/393939 (VI)

Fiorentini Riccardo

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

Fioroni Tamara

symbol email tamara.fioroni@univr.it symbol phone-number 0458028489

Giacomello Bruno

symbol email bruno.giacomello@univr.it symbol phone-number 0444 393933 (VI)

Lassini Ugo

symbol email ugo.lassini@univr.it

Levati Maria Vittoria

symbol email vittoria.levati@univr.it symbol phone-number 045 802 8640

Lionzo Andrea

symbol email andrea.lionzo@univr.it

Lubian Diego

symbol email diego.lubian@univr.it symbol phone-number 045 802 8419

Novello Diego

symbol email avv.novello@studionovelloepartners.it

Omodei Sale' Riccardo

symbol email riccardo.omodeisale@univr.it symbol phone-number 045 802 8855

Peretti Alberto

symbol email alberto.peretti@univr.it symbol phone-number 0444 393936 (VI) 045 802 8238 (VR)

Pertile Paolo

symbol email paolo.pertile@univr.it symbol phone-number 045 802 8438

Pilati Andrea

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

Ricciuti Roberto

symbol email roberto.ricciuti@univr.it symbol phone-number 0458028417

Rossi Francesco

symbol email francesco.rossi@univr.it symbol phone-number 045 8028067

Sommacal Alessandro

symbol email alessandro.sommacal@univr.it symbol phone-number 045 802 8716

Tondini Giovanni

symbol email giovanni.tondini@univr.it symbol phone-number Verona: 045 8425449, Vicenza: 0444 393930

Turazza Michele

symbol email michele.turazza@univr.it symbol phone-number 0458028264

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.

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S00121

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

The teaching is organized as follows:

lezione
The activity is given by Statistics - lezione of the course Bachelor's degree in Business Administration (Vicenza)

Credits

7

Period

First semester

Academic staff

Annamaria Guolo

esercitazione
The activity is given by Statistics - esercitazione of the course Bachelor's degree in Business Administration (Vicenza)

Credits

2

Period

First semester

Academic staff

Annamaria Guolo

Learning outcomes

The course is intended to provide an introduction to Descriptive Statistics, Probability and Inferential Statistics. The course is for students
in Economic and Business Sciences. 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. The statistical techniques that will be illustrate in the course are intended to provide instruments useful for description and interpretation of collective data. From a practical point of view, methods are necessary for interpreting official statistics and for realizing statistical studies of economical and social phenomena. The course is also intended to provide instruments for a critical analysis of the methodology.

Program

a) Descriptive Statistics

Introduction; data collection; population, sample, statistical unit; survey; questionnaire; data classification; data types; statistical sources.
Statistical data; matrix data; types of frequency distributions; graphical representations.
Cumulative frequency; cumulative distribution function.
Measures of central tendency; arithmetic mean, geometric mean and harmonic mean; properties of the arithmetic mean; quadratic and cubic mean; mood; median; quartiles and percentiles.
Variability and measures of dispersion; variance and standard deviation; coefficient of variation.
Moments; indices of skewness and kurtosis.
Fixed and varying base indices; Laspayres and Paasche indices.
Double and multivariate distributions; frequency tables; covariance; variance of the sum of more variables; conditional distributions; conditional mean and variance;
scatterplots; covariance; variance of the sum of more variables; chi-squared index of dependence; index of association C.
Least squares metodo; scatterplot; least-squares regression line; Pearson’s coefficient of linear correlation r; Cauchy-Schwarz inequality; R-square coefficiente; regression and residual deviance.

b) Probability

Deterministic and probabilistic models; events, probability spaces and event trees.
Combinatorics.
Definition and probability; probability function; theorems; 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; continuous uniform distribution; normal distribution;multivariate discrete random variables; joint probability distribution; marginal and conditional probability distributions; independence; expectation and covariance; correlation coefficient; conditional expectation and variance.
Linear combinations of random variables; average of random variables; sum of independent normals.
Weak law of large numbers.
Central limit theorem.

c) Inferential Statistics

Introduction; sample and sampling variability; sample statistics and sampling distributions.
Point estimates and estimators; unbiasedness; efficiency; consistency; estimate of the mean, of a proportion and of a variance.
Confidence intervals; intervals for a mean, for a proportion (large samples) and for a variance.
Hypothesis testing; first- and second-type errors and power of a test; 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.

Book

- G. CICCHITELLI (2008), Statistica: principi e metodi, Pearson Education, Milano.

Additional material will be distributed by the teacher

Other books

- D. PICCOLO (1998), Statistica, Seconda edizione 2000. Il Mulino, Bologna.
- D. PICCOLO (2010), Statistica per le decisioni, Nuova edizione. Il Mulino, Bologna.
- D. OLIVIERI (2003), Temi svolti di statistica, Seconda edizione aggiornata al 2002. Cedam, Padova.
- D. OLIVIERI (2005), Istituzioni di statistica. Cedam, Padova.
– D. OLIVIERI (2007), Fondamenti di statistica, Terza edizione. Cedam, Padova.
- E. BATTISTINI (2004), Probabilità e statistica: un approccio interattivo con Excel. McGraw-Hill, Milano.
- S. BERNSTEIN, R. BERNSTEIN (2003), Statistica descrittiva, Collana Schaum's, numero 109. McGraw-Hill, Milano.
- S. BERNSTEIN, R. BERNSTEIN (2003), Calcolo delle probabilita', Collana Schaum's, numero 110. McGraw-Hill, Milano.
- S. BERNSTEIN, R. BERNSTEIN (2003), Statistica inferenziale, Collana Schaum's, numero 111. McGraw-Hill, Milano.
- F. P. BORAZZO, P. PERCHINUNNO (2007), Analisi statistiche con Excel. Pearson, Education.
- M. R. MIDDLETON (2004), Analisi statistica con Excel. Apogeo.

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.

The exercise lessons are necessary to better understand the course. The material which will be used during the exercise lessons will be made available online.

Bibliography

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 D. OLIVIERI Fondamenti di statistica (Edizione 3) Cedam, Padova 2007
lezione D. OLIVIERI Istituzioni di statistica CEDAM 2005
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
lezione D. OLIVIERI Temi svolti di statistica (2001-2007) Cedam, Padova 2008

Examination Methods

The course is considered completed if the candidate has passed both the two written tests. Students must receive at least 15 out of 30 in both written tests.

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.

Graduation

List of theses and work experience proposals

theses proposals Research area
Tesi di laurea - Il credit scoring Statistics - Foundational and philosophical topics

Internships


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Linguistic training CLA


Gestione carriere


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