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. 2021/2022

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
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 8, 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 Enrolment FAQs

Academic staff


Brunetti Federico 045 802 8494

Carlotto Ilaria 045 802 8264

Danieli Diletta

Demo Edoardo 045 802 8782 (VR) 0444.393930 (VI)

Fiorentini Riccardo 0444 393934 (VI) - 045 802 8335(VR)

Florio Cristina 045 802 8296

Fratea Caterina 045 802 8858

Matteazzi Eleonora 045 8028741

Minozzo Marco 045 802 8234

Mion Giorgio 045.802 8172

Orso Cristina Elisa 045 802 8447

Peretti Alberto 0444 393936 (VI) 045 802 8238 (VR)

Pilati Andrea 045 802 8444 (VR) - 0444 393938 (VI)

Quercia Simone 045 802 8237

Ricciuti Roberto 0458028417

Rossignoli Francesca 0444 393941 (Ufficio Vicenza) 0458028261 (Ufficio Verona)

Roveda Alberto Dip. Sc. Ec. 045 802 8096 C.I.D.E. 045 8028084

Signori Paola 0444 393942 (VI) 045 802 8492 (VR)

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.


1° Year

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

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.

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° Job Club - Teoria e tecniche della ricerca attiva del lavoro - 2021/2022 D Paola Signori (Coordinatore)
secondo semestre (lauree) From 2/21/22 To 6/1/22
years Modules TAF Teacher
List of courses with unassigned period
years Modules TAF Teacher
1° 2° Data Analysis Laboratory with R D Marco Minozzo (Coordinatore)
1° 2° Python Laboratory D Not yet assigned
1° 2° Advanced Excel Laboratory D Marco Minozzo (Coordinatore)
1° 2° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinatore)

Learning outcomes

The course "Data Analysis Laboratory with R" is an optional "type f" activity, which allows to students to obtain 3 CFU, once a final examination is passed. In particular:

- The course is open to all CdL and CdLM students of the Vicenza campus of the School of Economics and Management.

- Due to the COVID-19 emergency, this year lessons will be delivered online through Zoom meetings. Each course has, approximately, 50 places.

- There will be two courses, one in the first semester and another one in the second semester.

- Requests for participation will be considered following the registration order, considering that priority will be given to CdLM students, in particular to students of the Master’s degree in International Economics and Business. Students are required to be present at the first lesson, or to send an email to the tutor to communicate their absence.

- Participation to the course does not require any particular background knowledge of the software R.

- The frequency to the classes is compulsory. Students are required to attend at least 2/3 of the exercise lessons and tutorial activities in order to be admitted to the final evaluation.

The course consists of 18 hours of exercise lessons and tutorial activities (plus 2 hours of final examination).

The calendar of the course of the first semester will be available as soon as possible.

The calendar of the course of the second semester will be available as soon as possible.

Tutor (first semester): dott. Luca Bisognin
Tutor (second semester): dott. Alessandro Cipolla

For the course of the first semester, it is possible to register from the 13th of October 2020 to the 18th of October 2020.

For the courses of the second semester, it is possible to register from the 13th of October 2020 to the 28th of February 2021.

Please, register through the elearning platform (Moodle). Students without a university IT account can ask to be registered by writing an email to the coordinator of the course. All other students must use the procedure on Moodle.


R is an open-source software for statistical computing. Created at the end of the 1990s from the S software, R is a multi-paradigm language that over the course of two decades has acquired a central role among statistical software, thanks also to the development of more than 16000 packages implementing techniques and methods coming from the most diverse fields of methodological and applied statistics. In recent years, thanks to the development of an entire family of packages aimed at simplifying and organizing on a new basis the programming methods and the interaction with R, the software has found new opportunities to express its potential to the fullest. The R language, together with Python, is now considered the reference language in modern data science and, in particular, for machine learning. It easily interfaces with many other software such as Excel, Tableau, Microsoft Power BI etc.

The course aims to provide the basics of the programming and operating philosophy of the R software, introducing the participants to some of the most recent innovations. After the introduction of the R language and of R Studio (the most used IDE for R), the course will focus on the following topics: data processing and manipulation techniques, advanced graphical tools for statistical analysis, graphic representation of geo-referenced information, regression analysis, Monte Carlo simulations, automatic reporting and production of interactive documents.


Reference texts
Author Title Publishing house Year ISBN Notes
Hadley Wickham Advanced R (Edizione 1) CRC Press, Taylor & Francis Group 2015 9781466586970
Espa G., Micciolo R. Analisi esplorativa dei dati con R Apogeo 2012 978-88-503-3031-7
Ronald K. Pearson Exploratory Data Analysis Using R (Edizione 1) CRC Press, Taylor & Francis Group 2018 9781138480605
Marco Bee, Flavio Santi Finanza quantitativa con R (Edizione 1) Apogeo Education 2013 9788838787041
Hadley Wickham ggplot2: Elegant Graphics for Data Analysis (Edizione 1) Springer 2009 9780387981413
Francesca Ieva, Chiara Masci, Anna Maria Paganoni Laboratorio di Statistica con R (Edizione 2) Pearson 2016 9788891901521
Christopher P. Adams Learning Microeconometrics with R (Edizione 1) Chapman and Hall/CRC 2021 9780367255381
Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton Modern Data Science with R (Edizione 1) CRC Press, Taylor & Francis Group 2017 978-1-4987-2448-7
Giuseppe Espa, Rocco Micciolo Problemi ed esperimenti di statistica con R (Edizione 1) Apogeo Education 2013 9788838786105
Hadley Wickham, Garrett Grolemund R for Data Science (Edizione 1) O'Reilly 2016 9781491910399
Ngai Hang Chan, Hoi Ying Wong Simulation Techniques in Financial Risk Management (Edizione 1) Wiley 2015 9781118735817
M. Bécue-Bertaut Textual Data Science with R (Edizione 1) CRC Press, Taylor & Francis Group 2018 9781138626911
Graham J. Williams The Essentials of Data Science: Knowledge Discovery Using R (Edizione 1) CRC Press, Taylor & Francis Group 2017 9781138088634

Examination Methods

Students are required to attend at least 2/3 of the exercise lessons/tutorial activity in order to be admitted to the final evaluation. The final examination, which will take place online through a Zoom meeting, will consist in a written exam, followed by an oral examination, if necessary, on the use of the software R. There will be just one date for the final examination.

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.


Student mentoring

Linguistic training CLA

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.