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 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 O P R S T Z

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

Castellani Paola

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

Chiarini Andrea

symbol email andrea.chiarini@univr.it symbol phone-number 045 802 8223

Cicogna Veronica

symbol email veronica.cicogna@univr.it symbol phone-number 045 802 8246

Confente Ilenia

symbol email ilenia.confente@univr.it symbol phone-number 045 802 8174

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

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)

Giaretta Elisa

symbol email elisa.giaretta@univr.it symbol phone-number 0444393938

Messina Sebastiano Maurizio

symbol email sebastianomaurizio.messina@univr.it symbol phone-number 045 802 8052

Minozzo Marco

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

Mion Giorgio

symbol email giorgio.mion@univr.it symbol phone-number 045.802 8172

Moggi Sara

symbol email sara.moggi@univr.it symbol phone-number 045 802 8290

Ortoleva Maria Grazia

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

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)

Renò Roberto

symbol email roberto.reno@univr.it symbol phone-number 045 802 8526

Ricciuti Roberto

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

Rossi Francesca

symbol email francesca.rossi_02@univr.it symbol phone-number 045 802 8098

Rossignoli Francesca

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

Sartori Fabio

symbol email fabio.sartori@univr.it

Signori Paola

symbol email paola.signori@univr.it symbol phone-number 0444 393942 (VI) 045 802 8492 (VR)

Tescaro Mauro

symbol email mauro.tescaro@univr.it symbol phone-number 045 802 8880

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

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 enrolment year.

ModulesCreditsTAFSSD
9
A
IUS/01
6
B
IUS/09
9
A
SECS-P/01
9
A
SECS-S/06
English language (B1 level)
6
E/F
-
activated in the A.Y. 2018/2019
ModulesCreditsTAFSSD
9
A
IUS/04
9
B
SECS-P/01
9
B
SECS-P/03
9
B
SECS-S/01
activated in the A.Y. 2019/2020
ModulesCreditsTAFSSD
6
B
IUS/07
9
B
SECS-P/02
9
C
SECS-P/12
Stage
6
S
-
Final exam
3
E
-

1° Year

ModulesCreditsTAFSSD
9
A
IUS/01
6
B
IUS/09
9
A
SECS-P/01
9
A
SECS-S/06
English language (B1 level)
6
E/F
-

2° Year activated in the A.Y. 2018/2019

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

3° Year activated in the A.Y. 2019/2020

ModulesCreditsTAFSSD
6
B
IUS/07
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.




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

Teaching code

4S00121

Coordinatore

Francesca Rossi

Credits

9

Also offered in courses:

  • Statistics of the course Bachelor's degree in Business Administration (Vicenza)

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

Period

primo semestre lauree triennali dal Sep 17, 2018 al Jan 11, 2019.

Learning outcomes

This module provides the basic techniques of descriptive statistics, probability and statistical inference to undergraduate 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 undergraduate calculus. In general, this module aims to offers a toolkit to investigate collective phenomena, starting from conducting a simple descriptive analysis to performing more formal hypothesis testing. The theoretical techniques students will acquire by the end of the course are necessary for descriptive, interpretative and decision-making purposes, as well as, more generally, for carrying out statistical studies related to economic and social phenomena. In addition to offering the necessary mathematical apparatus, the course also aims at providing the conceptual tools for a 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; 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.

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; 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.

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. Students are allowed to use a calculator, but no other material (such as books, notes, etc.). There is no compulsory oral examination, but students who get a mark of at least 15/18 have the option of integrating their mark by means of an interview. The oral examination offers the possibility of gaining or losing up to three marks compared to the result of their script. Students are expected to show an id (or student's card) in order to sit the exam.

An intermediate examination paper on the first part of the program is planned and students can take it on a voluntary basis. 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. The two partial examination will have the same weight on the final mark, and each of them has to be passed with a mark of at least 8/30. Accurate notification about the topics covered in the first partial examination will be posted on the course webpage in due course. Students are encouraged to take the intermediate examination, not only in view of splitting the examinable material in two parts, but also and especially to self-assess progresses and weaknesses in a timely and efficient manner.

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:
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: 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