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
primo semestre Sep 14, 2015 Jan 8, 2016
secondo semestre triennali Feb 15, 2016 Jun 1, 2016
Exam sessions
Session From To
appelli sessione invernale Jan 11, 2016 Feb 13, 2016
prove intermedie secondo semestre Apr 11, 2016 Apr 15, 2016
appelli sessione estiva Jun 6, 2016 Jul 9, 2016
Appelli sessione autunnale Aug 29, 2016 Sep 16, 2016
prove intermedie primo semestre Nov 2, 2016 Nov 6, 2016
Degree sessions
Session From To
sessione autunnale Dec 11, 2015 Dec 18, 2015
sessione invernale Apr 6, 2016 Apr 8, 2016
sessione estiva Sep 13, 2016 Sep 14, 2016
Holidays
Period From To
vacanze natalizie Dec 23, 2015 Jan 5, 2016
vacanze pasquali Mar 25, 2016 Mar 29, 2016
vacanze estive Aug 8, 2016 Aug 27, 2016

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 G L M O P R S T Z

Baccarani Claudio

symbol email claudio.baccarani@univr.it
Foto profilo,  September 20, 2017

Borello Giuliana

symbol email giuliana.borello@univr.it symbol phone-number 045 802 8493

Broglia Angela

symbol email angela.broglia@univr.it symbol phone-number 045 802 8240

Campedelli Bettina

symbol email bettina.campedelli@univr.it symbol phone-number 045 802 8416

Campolmi Alessia

symbol email alessia.campolmi@univr.it symbol phone-number 045 802 8071

Cantele Silvia

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

Caprara Andrea

symbol email andrea.caprara@univr.it symbol phone-number 39 045 8425319

Castellani Paola

symbol email paola.castellani@univr.it symbol phone-number 045 802 8127

Chesini Giuseppina

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

Cicognani Simona

symbol email simona.cicognani@univr.it symbol phone-number 0458028099

Colombo Valentina

symbol email valentina.colombo@univr.it symbol phone-number +39 0458028768

De Crescenzo Veronica

symbol email veronica.decrescenzo@univr.it symbol phone-number 045 802 8163

De Mari Michele

symbol email michele.demari@univr.it symbol phone-number 045 802 8226

Gaudenzi Barbara

symbol email barbara.gaudenzi@univr.it symbol phone-number 045 802 8623

Guiglia Giovanni

symbol email giovanni.guiglia@univr.it symbol phone-number 045 802 8225

Lai Alessandro

symbol email alessandro.lai@univr.it symbol phone-number 045 802 8574

Levati Maria Vittoria

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

Minozzo Marco

symbol email marco.minozzo@univr.it symbol phone-number 045 802 8234

Omodei Sale' Riccardo

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

Ortoleva Maria Grazia

symbol email mariagrazia.ortoleva@univr.it symbol phone-number 045 802 8052

Pellegrini Letizia

symbol email letizia.pellegrini@univr.it symbol phone-number 045 802 8345

Polin Veronica

symbol email veronica.polin@univr.it symbol phone-number 045 802 8267

Rossi Francesco

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

Rossignoli Cecilia

symbol email cecilia.rossignoli@univr.it symbol phone-number 045 802 8173

Scricciolo Catia

symbol email catia.scricciolo@univr.it symbol phone-number 045 8028341

Stacchezzini Riccardo

symbol email riccardo.stacchezzini@univr.it symbol phone-number 0458028186

Torsello Marco

symbol email marco.torsello@univr.it symbol phone-number +39 045 8425381

Zago Angelo

symbol email angelo.zago@univr.it symbol phone-number 045 802 8414

Zoli Claudio

symbol email claudio.zoli@univr.it symbol phone-number 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 enrollment year.

1° Year

ModulesCreditsTAFSSD
9
A
IUS/01
6
C
IUS/09
9
A
SECS-P/01
9
A
SECS-S/06

2° Year  activated in the A.Y. 2016/2017

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

3° Year  activated in the A.Y. 2017/2018

ModulesCreditsTAFSSD
6
B
SECS-P/08
Prova finale
3
E
-
ModulesCreditsTAFSSD
9
A
IUS/01
6
C
IUS/09
9
A
SECS-P/01
9
A
SECS-S/06
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
9
B
IUS/04
9
B
SECS-P/01
9
B
SECS-P/03
9
B
SECS-S/01
activated in the A.Y. 2017/2018
ModulesCreditsTAFSSD
6
B
SECS-P/08
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

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

The teaching is organized as follows:

lezione

Credits

6

Period

primo semestre triennali

Academic staff

Catia Scricciolo

esercitazione

Credits

3

Period

primo semestre triennali

Academic staff

Catia Scricciolo

Learning outcomes

The course aims at providing the basic techniques of descriptive statistics, probability and statistical inference for undergraduate students in business and economic sciences that have acquired the necessary preliminary mathematical notions. Overall, these techniques provide the necessary toolkit for quantitative analysis in the processes related to the observation of collective phenomena. From a practical point of view, these techniques are necessary for descriptive, interpretative and decision-making purposes for conducting statistical surveys related to economic and social phenomena. In addition to providing the necessary mathematical statistics apparatus, the course aims at providing conceptual tools for critical evaluation of the methodologies considered.

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

.

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 thesis proposals

theses proposals Research area
Proposte di tesi triennali Various topics

Student mentoring


Linguistic training CLA


Gestione carriere


Internships


Student login and resources