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..

Definition of lesson periods
Period From To
primo semestre (lauree) Sep 20, 2021 Jan 14, 2022
Periodo generico Oct 1, 2021 May 31, 2022
secondo semestre (lauree) Feb 21, 2022 Jun 1, 2022
Exam sessions
Session From To
sessione invernale Jan 17, 2022 Feb 18, 2022
sessione estiva Jun 6, 2022 Jul 15, 2022
sessione autunnale Aug 22, 2022 Sep 16, 2022
Degree sessions
Session From To
sessione autunnale (validità a.a. 2020/2021) Dec 6, 2021 Dec 10, 2021
sessione invernale (validità a.a. 2020/2021) Apr 6, 2022 Apr 8, 2022
sessione estiva (validità a.a. 2021/2022) Sep 5, 2022 Sep 6, 2022

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 M O P R S Z

Barbazeni Alessandro

symbol email alessandro.barbazeni@univr.it

Bonfanti Angelo

symbol email angelo.bonfanti@univr.it symbol phone-number 045 802 8292

Bottiglia Roberto

symbol email roberto.bottiglia@univr.it symbol phone-number 045 802 8224

Bracco Emanuele

symbol email emanuele.bracco@univr.it symbol phone-number 045 802 8293

Braguzzi Paolo

symbol email paolo.braguzzi@univr.it

Broglia Angela

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

Campolmi Alessia

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

Cassia Fabio

symbol email fabio.cassia@univr.it symbol phone-number 0458028689

Castellani Paola

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

Chiaramonte Laura

symbol email laura.chiaramonte@univr.it
CicognaV photo,  June 4, 2018

Cicogna Veronica

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

D'Acunto David

symbol email david.dacunto@univr.it symbol phone-number 045 802 8193

De Mari Michele

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

Fratea Caterina

symbol email caterina.fratea@univr.it symbol phone-number 045 842 5358

Gatti Stefano

symbol email stefano.gatti@univr.it

Gaudenzi Barbara

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

Genovese Anna

symbol email anna.genovese@univr.it symbol phone-number 0458028233

Lai Alessandro

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

Leardini Chiara

symbol email chiara.leardini@univr.it symbol phone-number 045 802 8222

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

Pasquariello Federica

symbol email federica.pasquariello@univr.it symbol phone-number 045 802 8233

Pellegrini Letizia

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

Pichler Flavio

symbol email flavio.pichler@univr.it symbol phone-number 045 802 8273

Polin Veronica

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

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

Sidali Katia Laura

symbol email katialaura sidali@univr it symbol phone-number 045 802 8592

Stacchezzini Riccardo

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

Svaluto Ferro Sara

symbol email sara.svalutoferro@univr.it symbol phone-number 045 8028783

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
9
A
SECS-P/01
9
A
SECS-S/06

2° Year  activated in the A.Y. 2022/2023

ModulesCreditsTAFSSD
9
B
SECS-S/01

3° Year  activated in the A.Y. 2023/2024

ModulesCreditsTAFSSD
9
B
SECS-P/01
1 MODULE TO BE CHOSEN BETWEEN THE FOLLOWING
1 MODULE TO BE CHOSEN BETWEEN THE FOLLOWING
1 MODULE TO BE CHOSEN BETWEEN THE FOLLOWING
9
B
SECS-P/03
Prova finale
3
E
-
ModulesCreditsTAFSSD
9
A
IUS/01
9
A
SECS-P/01
9
A
SECS-S/06
activated in the A.Y. 2022/2023
ModulesCreditsTAFSSD
9
B
SECS-S/01
activated in the A.Y. 2023/2024
ModulesCreditsTAFSSD
9
B
SECS-P/01
1 MODULE TO BE CHOSEN BETWEEN THE FOLLOWING
1 MODULE TO BE CHOSEN BETWEEN THE FOLLOWING
1 MODULE TO BE CHOSEN BETWEEN THE FOLLOWING
9
B
SECS-P/03
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

Academic staff

Catia Scricciolo,

Credits

9

Language

Italian

Scientific Disciplinary Sector (SSD)

SECS-S/01 - STATISTICS

Period

Primo semestre (lauree) dal Sep 19, 2022 al Jan 13, 2023.

Learning objectives

The course aims to provide the basic techniques of descriptive statistics, probability calculus and statistical inference for undergraduate students in business and economic sciences, who have acquired the necessary preliminary mathematical notions. Overall, these techniques provide the necessary toolkit for the quantitative analysis of 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 a critical evaluation of the methodologies considered. At the end of the lessons, the student must be able to use the tools learned to conduct statistical analyses relating to economic and social phenomena.

Prerequisites and basic notions

Students are supposed to have acquired math knowledge of basic concepts like limit, derivative and integral.

Program

a) 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.
• Multivariate frequency distributions; conditional distributions; chi-squared index of dependence; Simpson’s
paradox.
• Method of least squares; least-squares regression line; Pearson’s coefficient of linear correlation; Cauchy-Schwarz
inequality; R^2 coefficient; total, explained and residual deviance.
b) PROBABILITY
• Random experiments; sample space; random events and operations; combinatorics.
• Conditional probability; independence; Bayes' theorem.
• Discrete and continuous random variables; distribution function; expectation and variance; Markov and
Tchebycheff's inequalities. Special discrete distributions: uniform, Bernoulli, Binomial, Poisson and geometric.
Special continuous distributions: continuous uniform, Gaussian, exponential.
• Multivariate discrete random variables; joint probability distribution; marginal and conditional probability
distributions; independence; covariance; correlation coefficient.
• Linear combinations of random variables; average of independent random variables; sum of independent, Gaussian
random variables.
• Weak law of large numbers; Bernoulli’s law of large numbers for relative frequencies; central limit theorem.
c) INFERENTIAL STATISTICS
• Sample statistics and sampling distributions; Chi-square distribution; Student's t distribution; Snedecor's F
distribution.
• Point estimates and estimators; unbiasedness, efficiency, consistency; estimate of a mean, of a proportion, 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 between two means, two proportions (large samples) and two variances.
Textbooks
- A. AZZALINI (2001) Inferenza statistica: una presentazione basata sul concetto di verosimiglianza, 2nd Ed.,
Springer Verlag Italia.
- 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.
- D. GIULIANI, M. M. DICKSON (2015) Analisi statistica con Excel. Maggioli Editore.
- P. KLIBANOFF, A. SANDRONI, B. MODELLE, B. SARANITI (2010) Statistica per manager, 1st Ed., Egea.
- D. M. LEVINE, D. F. STEPHAN, K. A. SZABAT (2014) Statistics for Managers Using Microsoft Excel, 7th Ed.,
Global Edition. Pearson.
- M. R. MIDDLETON (2004) Analisi statistica con Excel. Apogeo.
- D. PICCOLO (1998) Statistica, 2nd Ed. 2000. Il Mulino, Bologna.
- D. PICCOLO (2010) Statistica per le decisioni, New Ed. Il Mulino, Bologna.
Teaching methods
Course load is equal to 84 hours: the course consists of 48 lecture hours (equal to 6 ECTS credits) and of 36 exercise hours (equal to 3 ECTS credits).
Study Guide
A detailed syllabus will be made available at the end of the course on the e-learning platform.
Prerequisites
Students are supposed to have acquired math knowledge of basic concepts like limit, derivative and integral.
Exercise sessions
Exercise sessions are integral part of the course and necessary to adequate understanding of the topics.
Tutoring activities
There will be optional tutoring hours devoted to exercises during the course and before exam sessions. More detailed information will be made available in due course.

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

The course includes 84 hours of frontal teaching, of which 48 hours of lessons (equal to 6 CFU) and 36 hours of exercises (equal to 3 CFU).

Learning assessment procedures

The exam can be passed through two partial written tests or one general written test.
Contents, assessment methods and criteria for partial written tests:
The first partial written test focuses on the part of the program explained until the break at the end of October, typically on Descriptive Statistics and part of Probability (cf. the program of the course). The second partial written test focuses on the rest of the program. The topics of the program on which each partial written test is based will be defined in detail in due course. The bonus earned by the student when passing the first partial written test can be used to access the second partial written test in ONLY ONE of the two exam sessions of January and February. In case of
- student's withdrawal during the second partial written test
- failing of the second partial written test
- failing of the total exam due to a final exam grade less than 18/30 (cf. assessment methods and criteria for partial written tests)
the exam can be subsequently taken ONLY through a general written test.

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

Evaluation criteria

Both partial written tests include exercises and theoretical questions. Each partial written test is passed if the score is greater than or equal to 15/30. If both partial written tests are passed, the final exam mark results from the weighted average (eventually rounded up to the least greater integer) of the grades obtained in the single partial written tests. The exam is passed if this average is greater than or equal to 18/30. If the total score obtained is greater than or equal to 15 and less than 18, the student may take an additional oral test. There is the possibility to take an optional oral test for those who have obtained a score greater than or equal to 18/30. Date and time of the oral test will be promptly communicated after the written test.
Contents, assessment methods and criteria for general written test:
The general written test covers all topics of the program and includes exercises and theoretical questions. The exam is passed if the score is greater than or equal to 18/30. If the grade earned is greater than or equal to 15 and less than 18, the student may take an additional oral test. There is the possibility to take an optional oral test for those who have obtained a score greater than or equal to 18/30. Date and time of the oral test will be promptly communicated after the written test.
Contents, assessment methods and criteria are the same for attending and non-attending students.

Criteria for the composition of the final grade

Mark of the written test possibly integrated by taking the optional oral test.

Exam language

Italiano

Type D and Type F activities

Nei piani didattici di ciascun Corso di studio è previsto l’obbligo di conseguire un certo numero di crediti formativi mediante attività a scelta (chiamate anche "di tipologia D e F").

Oltre che in insegnamenti previsti nei piani didattici di altri corsi di studio e in certificazioni linguistiche o informatiche secondo quanto specificato nei regolamenti di ciascun corso, tali attività possono consistere anche in iniziative extracurriculari di contenuto vario, quali ad esempio la partecipazione a un seminario o a un ciclo di seminari, la frequenza di laboratori didattici, lo svolgimento di project work, stage aggiuntivo, eccetera.

Come per ogni altra attività a scelta, è necessario che anche queste non costituiscano un duplicato di conoscenze e competenze già acquisite dallo studente.

Quelle elencate in questa pagina sono le iniziative extracurriculari che sono state approvate dal Consiglio della Scuola di Economia e Management e quindi consentono a chi vi partecipa l'acquisizione dei CFU specificati, alle condizioni riportate nelle pagine di dettaglio di ciascuna iniziativa.

Si ricorda in proposito che:
- tutte queste iniziative richiedono, per l'acquisizione dei relativi CFU, il superamento di una prova di verifica delle competenze acquisite, secondo le indicazioni contenute nella sezione "Modalità d'esame" della singola attività;
- lo studente è tenuto a inserire nel proprio piano degli studi l'attività prescelta e a iscriversi all'appello appositamente creato per la verbalizzazione, la cui data viene stabilita dal docente di riferimento e pubblicata nella sezione "Modalità d'esame" della singola attività.

COMPETENZE TRASVERSALI
Scopri i percorsi formativi promossi dal  Teaching and learning centre dell'Ateneo, destinati agli studenti iscritti ai corsi di laurea, volti alla promozione delle competenze trasversali: https://talc.univr.it/it/competenze-trasversali

ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, inlcuse quelle a scelta, è necessario essere iscritti all'anno di corso in cui essa viene offerta. Si raccomanda, pertanto, ai laureandi delle sessioni di dicembre e aprile di NON svolgere attività extracurriculari del nuovo anno accademico, cui loro non risultano iscritti, essendo tali sessioni di laurea con validità riferita all'anno accademico precedente. Quindi, per attività svolte in un anno accademico cui non si è iscritti, non si potrà dar luogo a riconoscimento di CFU.

primo semestre (lauree) From 9/20/21 To 1/14/22
years Modules TAF Teacher
1° 2° Marketing plan D Virginia Vannucci (Coordinator)
Periodo generico From 10/1/21 To 5/31/22
years Modules TAF Teacher
1° 2° English for Business and Economics - Bachelor's Degrees D Marco Minozzo (Coordinator)
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (Coordinator)
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (Coordinator)
1° 2° Internationalization and Sustainability. Friends or Enemies? D Angelo Zago (Coordinator)
1° 2° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinator)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)
1° 2° Samsung Innovation Camp D Marco Minozzo (Coordinator)
1° periodo lezioni (1B) From 11/5/21 To 12/16/21
years Modules TAF Teacher
1° 2° Economics, financial statement and control of Italian healthcare and social care organizations D Paolo Roffia (Coordinator)
secondo semestre (lauree) From 2/21/22 To 6/1/22
years Modules TAF Teacher
1° 2° AN INTRODUCTION TO LATEX TYPESETTING SYSTEM D Alberto Peretti (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public D Federico Brunetti (Coordinator)

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 also via the Univr app.

Graduation


Student mentoring


Gestione carriere


Linguistic training CLA


Internships

The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.


Student login and resources


Modalità di frequenza, erogazione della didattica e sedi

Le lezioni di tutti gli insegnamenti del corso di studio, così come le relative prove d’esame, si svolgono in presenza.
Peraltro, come ulteriore servizio agli studenti, è altresì previsto che tali lezioni siano registrate e che le registrazioni vengano messe a disposizione sui relativi moodle degli insegnamenti, salvo diversa comunicazione del singolo docente.

La frequenza non è obbligatoria.

Maggiori dettagli in merito all'obbligo di frequenza vengono riportati nel Regolamento del corso di studio disponibile alla voce Regolamenti nel menu Il Corso. Anche se il regolamento non prevede un obbligo specifico, verifica le indicazioni previste dal singolo docente per ciascun insegnamento o per eventuali laboratori e/o tirocinio.

È consentita l'iscrizione a tempo parziale. Per saperne di più consulta la pagina Possibilità di iscrizione Part time.

Le sedi di svolgimento delle lezioni e degli esami sono le seguenti