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. 2017/2018

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 Triennali Sep 18, 2017 Jan 12, 2018
Secondo Semestre Triennali Feb 19, 2018 Jun 1, 2018
Corsi intensivi estivi (Alba di Canazei) Jul 9, 2018 Aug 3, 2018
Exam sessions
Session From To
Prove Parziali Primo Semestre Nov 6, 2017 Nov 10, 2017
Esami Sessione Invernale triennali 2017 Jan 15, 2018 Feb 16, 2018
Prove Parziali Secondo Semestre Apr 9, 2018 Apr 13, 2018
Esame sessione estiva triennali Jun 4, 2018 Jul 6, 2018
Esami sessione autunnale 2018 Aug 27, 2018 Sep 14, 2018
Degree sessions
Session From To
Lauree sessione autunnale (validità a.a. 2016/17) Nov 27, 2017 Nov 28, 2017
Lauree sessione invernale (validità a.a. 2016/17) Apr 4, 2018 Apr 6, 2018
Lauree sessione estiva (validità a.a. 2017/18) Sep 10, 2018 Sep 11, 2018
Holidays
Period From To
All Saints Day Nov 1, 2017 Nov 1, 2017
Immaculate Conception Dec 8, 2017 Dec 8, 2017
attività sospese (Natale) Dec 23, 2017 Jan 7, 2018
Easter break Mar 30, 2018 Apr 3, 2018
Liberation Day Apr 25, 2018 Apr 25, 2018
attività sospese (Festa dei lavoratori) Apr 30, 2018 Apr 30, 2018
Labour Day May 1, 2018 May 1, 2018
Festa Patronale May 21, 2018 May 21, 2018
attività sospese estive Aug 6, 2018 Aug 24, 2018

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 M N P R S T

Bonfanti Angelo

angelo.bonfanti@univr.it 045 802 8292

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Bucciol Alessandro

alessandro.bucciol@univr.it 045 802 8278

Cantele Silvia

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

Carlotto Ilaria

ilaria.carlotto@univr.it 045 802 8264

Demo Edoardo

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

Durastante Paolo

paolo.durastante@univr.it 0444962826

Faccincani Lorenzo

lorenzo.faccincani@univr.it 045 802 8610

Fiorentini Riccardo

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

Fioroni Tamara

tamara.fioroni@univr.it 0458028489

Giacomello Bruno

bruno.giacomello@univr.it 0444 393933 (VI)

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Mion Giorgio

giorgio.mion@univr.it 045.802 8172

Moggi Sara

sara.moggi@univr.it 045 802 8290

Noto Sergio

elefante@univr.it 045 802 8008

Peretti Alberto

alberto.peretti@univr.it 0444 393936 (VI) 045 802 8238 (VR)

Pertile Paolo

paolo.pertile@univr.it 045 802 8438

Pilati Andrea

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

Ricciuti Roberto

roberto.ricciuti@univr.it 0458028417

Rossi Francesca

francesca.rossi_02@univr.it 045 802 8098

Rossignoli Francesca

francesca.rossignoli@univr.it 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Sartori Fabio

fabio.sartori@univr.it

Tescaro Mauro

mauro.tescaro@univr.it 045 802 8880

Tondini Giovanni

giovanni.tondini@univr.it Verona: 045 8425449, Vicenza: 0444 393930

Trabucchi Giuseppe

giuseppe.trabucchi@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 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)
English language (B1 level)
6
E/F
-
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)
Stage
6
S
-
Final exam
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)
English language (B1 level)
6
E/F
-

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)
Stage
6
S
-
Final exam
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

Coordinatore

Francesca Rossi

Credits

9

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

Language

Italian

Period

Primo Semestre Triennali dal Sep 18, 2017 al Jan 12, 2018.

Learning outcomes

The course is designed to equip students in Economic and Business Sciences with an introduction to probability and to descriptive and inferential statistics.
Prerequisite to this module 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.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
G. Cicchitelli, P. D'Urso, M. Minozzo Statistica: principi e metodi (Edizione 3) Pearson Italia, Milano 2018 9788891902788

Examination Methods

The final exam consists of a two-hours written exam paper containing both practical exercises and theoretical definitions and derivations. The oral part is voluntary and open to students who receive at least a mark of 15/30 in the written exam. Students can expect to gain/loose up to three marks with the oral examination.

An intermediate examination paper on the first part of the program is planned. Students who successfully pass the intermediate examination have the option of taking a similar paper on the second part of the module during the exam session immediately after the end of the course, rather than sitting the full final exam paper.

Type D and Type F activities

Academic year:
List of courses with unassigned period
years Modules TAF Teacher
An Introduction to the History of Economics and Business Economics D Sergio Noto (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


Area riservata studenti


Student mentoring


Graduation

List of theses and work experience proposals

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