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. 2019/2020

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
First semester bachelor degree Sep 16, 2019 Jan 10, 2020
Second semester bachelor degree Feb 17, 2020 Jun 5, 2020
Exam sessions
Session From To
First semester intermediate tests Nov 4, 2019 Nov 8, 2019
Winter exam session Jan 13, 2020 Feb 14, 2020
Second semester intermediate tests Apr 15, 2020 Apr 17, 2020
Summer session exam Jun 8, 2020 Jul 10, 2020
Autumn Session exams Aug 24, 2020 Sep 11, 2020
Degree sessions
Session From To
Autumn Session Dec 2, 2019 Dec 4, 2019
Winter Session Apr 7, 2020 Apr 9, 2020
Summer session Sep 7, 2020 Sep 9, 2020

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 L M P R S

Bonfanti Angelo

angelo.bonfanti@univr.it 045 802 8292

Broglia Angela

angela.broglia@univr.it 045 802 8240

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)

Chesini Giuseppina

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

Cipriani Giam Pietro

giampietro.cipriani@univr.it 045 802 8271

Confente Ilenia

ilenia.confente@univr.it 045 802 8174

Corbella Silvano

silvano.corbella@univr.it 045 802 8217

Corsi Corrado

corrado.corsi@univr.it 045 802 8452 (VR) 0444/393937 (VI)

Demo Edoardo

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

Ferrari Maria Luisa

marialuisa.ferrari@univr.it 045 802 8532

Giaretta Elena

elena.giaretta@univr.it 045 802 8051

Guiglia Giovanni

giovanni.guiglia@univr.it 045 802 8225

Lubian Diego

diego.lubian@univr.it 045 802 8419

Manzoni Elena

elena.manzoni@univr.it 8783

Mariutti Gianpaolo

gianpaolo.mariutti@univr.it 045 802 8241

Menon Martina

martina.menon@univr.it 045 802 8420

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Mion Giorgio

giorgio.mion@univr.it 045.802 8172

Pasquariello Federica

federica.pasquariello@univr.it 045 802 8233

Perali Federico

federico.perali@univr.it 045 802 8486

Pilati Andrea

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

Pizzamiglio Maurizio

maurizio.pizzamiglio@univr.it

Renò Roberto

roberto.reno@univr.it 045 802 8526

Roveda Alberto

alberto.roveda@univr.it Dip. Sc. Ec. 045 802 8096 C.I.D.E. 045 8028084

Salomoni Alessandra

alessandra.salomoni@univr.it 045 802 8443

Santi Flavio

flavio.santi@univr.it 045 802 8239

Sartori Fabio

fabio.sartori@univr.it

Signori Paola

paola.signori@univr.it 0444 393942 (VI) 045 802 8492 (VR)

Sommacal Alessandro

alessandro.sommacal@univr.it 045 802 8716

Sproviero Alice Francesca

alicefrancesca.sproviero@univr.it 045 802 8216

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

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.

Academic year:
Second semester bachelor degree From 2/17/20 To 6/5/20
years Modules TAF Teacher
1° 2° 3° Enactus Verona 2020 D Paola Signori (Coordinatore)
1° 2° 3° Parlare in pubblico e economic writing D Martina Menon (Coordinatore)
1° 2° 3° Samsung Innovation Camp D Marco Minozzo (Coordinatore)
1° 2° 3° Simulation and Implementation of Economic Policies D Federico Perali (Coordinatore)
List of courses with unassigned period
years Modules TAF Teacher
1° 2° 3° Il Futuro Conta! D Alessandro Bucciol (Coordinatore)
1° 2° 3° Il Futuro Conta! D Alessandro Bucciol (Coordinatore)
1° 2° 3° Data Analysis Laboratory with R D Marco Minozzo (Coordinatore)
1° 2° 3° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinatore)
1° 2° 3° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° 3° Python Laboratory D Marco Minozzo (Coordinatore)
1° 2° 3° Data Science Laboratory with SAP D Marco Minozzo (Coordinatore)
1° 2° 3° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° 3° Excel Laboratory (Verona) D Marco Minozzo (Coordinatore)
1° 2° 3° The fashion lab (1 ECTS) D Angela Broglia (Coordinatore)
1° 2° 3° The fashion lab (2 ECTS) D Angela Broglia (Coordinatore)
1° 2° 3° The fashion lab (3 ECTS) D Angela Broglia (Coordinatore)
1° 2° 3° Marketing Plan D Ilenia Confente (Coordinatore)
1° 2° 3° Presente e futuro del pianeta D Federico Brunetti (Coordinatore)
1° 2° 3° Programming in Matlab D Marco Minozzo (Coordinatore)
1° 2° 3° Programming in SAS D Marco Minozzo (Coordinatore)
1° 2° 3° Robo-Ethics D Giorgio Mion (Coordinatore)
1° 2° 3° Univero' - Job Orienteering festival D Paola Signori (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 School of Economics and Management, in particular to the students of the Master’s degree in Economics and of the Master’s degree in Banking and Finance.

- There are 48 available places. To promote an active participation, students are required to bring their own portable computer.

- Requests for participation will be considered following the registration order considering that priority will be given to CdLM students, in particular to the students of the Master’s degree in Economics and of the Master’s degree in Banking and Finance. Students are required to be present at the first lesson, or to send an email to the tutor to comunicate 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 tentative calendar of the course is the following:

Friday 15 November 2019, hours 15:00-18:00, room SMT.11;
Friday 22 November 2019, hours 15:00-18:00, room SPC;
Friday 29 November 2019, hours 15:00-18:00, room SMT.11;
Friday 6 December 2019, hours 15:00-18:00, room SPC;
Friday 13 December 2019, hours 15:00-18:00, room SMT.11.
Friday 20 December 2019, hours 15:00-18:00, room SMT.11;
(the date of the final exam will be available as soon as possible).


Tutor: dott. Luca Bisognin

Registrations are open from the 19th of October 2019 to the 14th of November 2019.

Please, register through the elearning platform.

Program

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 15000 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.

Bibliografia

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
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 will consist in a written exam, with 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.

Linguistic training CLA


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
La performance delle imprese che adottano politiche di Corporate Social responsibility Various topics
La previsione della qualita' dei vini: Il caso dell'Amarone Various topics
Proposte di tesi Various topics
Tesi in Macroeconomia Various topics
tesi triennali Various 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.