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 Sep 26, 2011 Dec 22, 2011
Second semester Feb 27, 2012 May 25, 2012
Exam sessions
Session From To
Sessione invernale Jan 9, 2012 Feb 24, 2012
Sessione saperi minimi logico-matematici (aprile) Apr 1, 2012 Apr 30, 2012
Sessione estiva May 28, 2012 Jul 6, 2012
Sessione autunnale Aug 27, 2012 Sep 21, 2012

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 Enrollment FAQs

Academic staff

B C D F G L N O P R S T V

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)

Carlotto Ilaria

symbol email ilaria.carlotto@univr.it symbol phone-number 045 802 8264

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)

Durastante Paolo

symbol email paolo.durastante@univr.it symbol phone-number 0444962826

Duret Paolo

symbol email paolo.duret@univr.it symbol phone-number 0458425373

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

Giacomello Bruno

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

Levati Maria Vittoria

symbol email vittoria.levati@univr.it symbol phone-number 045 802 8640
Foto,  October 1, 2010

Lionzo Andrea

symbol email andrea.lionzo@univr.it

Lubian Diego

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

Novello Diego

symbol email avv.novello@studionovelloepartners.it

Omodei Sale' Riccardo

symbol email riccardo.omodeisale@univr.it symbol phone-number 045 8425355

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

Rossignoli Francesca

symbol email francesca.rossignoli@univr.it symbol phone-number 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

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

Trabucchi Giuseppe

symbol email giuseppe.trabucchi@univr.it

Veronesi Marcella

symbol email marcella.veronesi@univr.it

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 enrollment year.

2° Year  activated in the A.Y. 2012/2013

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

3° Year  activated in the A.Y. 2013/2014

ModulesCreditsTAFSSD
6
B
IUS/07
9
B
SECS-P/02
9
C
SECS-P/12
Prova finale
3
E
-
activated in the A.Y. 2012/2013
ModulesCreditsTAFSSD
9
B
SECS-P/01
9
A
IUS/04
9
B
SECS-S/01
9
B
SECS-P/03
activated in the A.Y. 2013/2014
ModulesCreditsTAFSSD
6
B
IUS/07
9
B
SECS-P/02
9
C
SECS-P/12
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.




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

Teaching code

4S00121

Credits

9

Coordinator

Annamaria Guolo

Language

Italian

Location

VICENZA

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

The teaching is organized as follows:

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

Credits

7

Period

primo semestre

Location

VICENZA

Academic staff

Annamaria Guolo

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

Credits

2

Period

primo semestre

Location

VICENZA

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 (2012), Statistica: principi e metodi, Seconda edizione, Pearson Italia, Milano.

Other books

- D. PICCOLO (1998), Statistica, Seconda edizione 2000. Il Mulino, Bologna.
- D. PICCOLO (2010), Statistica per le decisioni, Nuova edizione. Il Mulino, Bologna.
- M. R. MIDDLETON (2004), Analisi statistica con Excel. Apogeo.
- E. BATTISTINI (2004), Probabilità e statistica: un approccio interattivo con Excel. McGraw-Hill, Milano.
- F. P. BORAZZO, P. PERCHINUNNO (2007), Analisi statistiche con Excel. Pearson, Education.

Details

The course consists of a series of lectures (56 hours) and of twelve exercise classes (24 hours). The working language is Italian.

It is assumed that students have a basic knowledge of mathematics, in particular about limits, derivation methods an integration techniques.

The material which will be used during the exercise lessons will be made available online (e-learning).

Examination Methods

The examination consists of two separate tests, one with a series of questions, and one with some exercises. The total examination will take about 2 hours and 30 minutes.
The examination is considered successful if the candidate has passed both the two written tests: students must receive at least 16 out of 30 in both written tests, and the final average score has to be at least equal to 18/30. Final scores equal to 16/30 or 17/30 allow to face an oral and optional examination.
No books or personal material is allowed during the examination. Only the calculating machine is allowed. Material to use for evaluating the quantiles or the probabilities of statistical distributions will be made available by the teacher during the examination. The students are required to attend the examination with the identity card or a similar document.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.

Graduation

List of theses and work experience proposals

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

Student mentoring


Linguistic training CLA


Gestione carriere


Internships


Student login and resources