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. 2018/2019

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 lauree triennali Sep 17, 2018 Jan 11, 2019
secondo semestre lauree triennali Feb 18, 2019 May 31, 2019
Exam sessions
Session From To
prove intermedie - sessione autunnale Nov 5, 2018 Nov 9, 2018
sessione invernale lauree triennali Jan 14, 2019 Feb 15, 2019
prove intermedie - sessione primaverile Apr 15, 2019 Apr 18, 2019
sessione estiva lauree triennali Jun 3, 2019 Jul 5, 2019
Sessione autunnale Aug 26, 2019 Sep 13, 2019
Degree sessions
Session From To
Sessione autunnale (validità a.a. 2017/18) Dec 6, 2018 Dec 7, 2018
Sessione invernale (validità a.a. 2017/18) Apr 3, 2019 Apr 5, 2019
Sessione estiva (validità a.a. 2018/19) Sep 10, 2019 Sep 11, 2019
Holidays
Period From To
Festa di Ognissanti Nov 1, 2018 Nov 1, 2018
Festa dell’Immacolata Dec 8, 2018 Dec 8, 2018
Vacanze di Natale Dec 22, 2018 Jan 6, 2019
Vacanze di Pasqua Apr 19, 2019 Apr 23, 2019
Festa della liberazione Apr 25, 2019 Apr 25, 2019
Festa del lavoro May 1, 2019 May 1, 2019
Festa del Santo Patrono - S. Zeno May 21, 2019 May 21, 2019
Attività sospese (vacanze estive) Aug 5, 2019 Aug 23, 2019

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 N O P R S Z

Brunetti Federico

federico.brunetti@univr.it 045 802 8494

Cantele Silvia

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

Castellani Paola

paola.castellani@univr.it 045 802 8127

Chesini Giuseppina

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

Cicogna Veronica

veronica.cicogna@univr.it 045 802 8246

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

Fiorentini Riccardo

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

Giaretta Elena

elena.giaretta@univr.it 045 802 8051

Guiglia Giovanni

giovanni.guiglia@univr.it 045 802 8225

Leardini Chiara

chiara.leardini@univr.it 045 802 8222

Lubian Diego

diego.lubian@univr.it 045 802 8419

Mariutti Gianpaolo

gianpaolo.mariutti@univr.it 045 802 8241

Menon Martina

martina.menon@univr.it 045 802 8420

Messina Sebastiano Maurizio

sebastianomaurizio.messina@univr.it 045 802 8052

Minozzo Marco

marco.minozzo@univr.it 045 802 8234

Mion Giorgio

giorgio.mion@univr.it 045.802 8172

Mussini Mauro

mauro.mussini@univr.it

Nardi Chiara

chiara.nardi@univr.it +39 045 8028768

Ortoleva Maria Grazia

mariagrazia.ortoleva@univr.it 045 802 8052

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

Rossato Chiara

chiara.rossato@univr.it 045 802 8620

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

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

Zago Angelo

angelo.zago@univr.it 045 802 8414

Zoli Claudio

claudio.zoli@univr.it 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)
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
C
(SECS-P/12)
9
B
(SECS-S/06)
9
B
(SECS-P/02)
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
C
(SECS-P/12)
9
B
(SECS-S/06)
9
B
(SECS-P/02)
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

Academic year:
List of courses with unassigned period
years Modules TAF Teacher
SFIDE - Europe D Claudio Zoli (Coordinatore)
1° 2° 3° Advanced risk and portfolio management bootcamp (online) (3 cfu) D Roberto Renò (Coordinatore)
1° 2° 3° Advanced risk and portfolio management bootcamp (onsite) (6 cfu) D Roberto Renò (Coordinatore)
1° 2° 3° Convegno "gli scambi commerciali con l'estero: questioni fiscali, doganali e contrattuali" D Sebastiano Maurizio Messina (Coordinatore)
1° 2° 3° Ineka conference 2019 teamworking membership D Federico Brunetti (Coordinatore)
1° 2° 3° Data Visualization Laboratory D Marco Minozzo (Coordinatore)
1° 2° 3° Python Laboratory 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° "le grandi trasformazioni degli anni '60-'70 e l'italia cinquant'anni dopo" D Angelo Zago (Coordinatore)
1° 2° 3° Social responsibility model for the restaurants' ecosystems D Silvia Cantele (Coordinatore)
1° 2° 3° Marketing Plan D Ilenia Confente (Coordinatore)
1° 2° 3° Polis - festival biblico in universita' D Giorgio Mion (Coordinatore)
1° 2° 3° Quality and problem solving in business organizations D Paola Castellani (Coordinatore)
1° 2° 3° (click to insert) La competitività regionale e le sue risorse endogene: il concetto di capitale territoriale D Riccardo Fiorentini (Coordinatore)
1° 2° 3° Soft skills in action D Paola Signori (Coordinatore)

Learning outcomes

The course "Data Visualization Laboratory" 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 in economics and business administration; in particular to second and third year CdL students.

- The lessons will take place in a computer laboratory (46 seats).

- Requests for participation will be considered following the registration order; CdL students will have priority over CdLM students.

- The frequency to the classes is compulsory. 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 course consists of 18 hours of exercise lessons and tutorial activity (plus 2 hours of final examination).

The tentative calendar of the course is the following:

Friday 9 November 2018, hours 14:00-18:30, room LAB.SMS.8 (Federica Fragapane);
Friday 16 November 2018, hours 14:00-18:30, room LAB.SMS.8 (Federica Fragapane);
Friday 7 December 2018, hours 14:00-17:30, room LAB.SMS.3 (Dario Pasetto);
Friday 14 December 2018, hours 14:00-17:30, room LAB.SMS.4 (Dario Pasetto);
Friday 21 December 2018, hours 14:00-17:30, room LAB.SMS.4 (Dario Pasetto).

Teacher: dott. Federica Fragapane
Teacher: dott. Dario Pasetto

Registrations are open from the 13th of October 2018 to the 8th of November 2018.

Please, register through the elearning platform.

Program

In recent years, Data Presentation has established itself as the eighth most requested skill on LinkedIn. At the same time, Tableau and Power BI have established themselves as the reference software for data visualization in the modern data science. In addition to providing an intuitive environment for managing, manipulating and displaying significant amounts of data, these software also provide an easy interface with MATLAB and R, useful for more complex analyzes. The program of the course includes some lessons on Data Visualization conducted by dott. Federica Fragapane, and some lessons on the software Power BI conducted by dott. Dario Pasetto.

The program of dott. Federica Fragapane is the following:

Introduction to Data Visualization (case studies, examples of visual models, sites for inspiration and reference).
Creation of a presentation in PowerPoint to analyze and explore a theme of interest through data visualization.
Selection and analysis of data with the software Excel.
Exploration of visual models (realization of first hand drafts).
Introduction to the use of RAWGraphs (an online data visualization software).
Selection of data and creation of graphs.
Preparation of a presentation with the realized graphs (with focus on writing short explanatory texts that guide the interpretation).

The program of dott. Dario Pasetto is the following:

Managing and structuring data for Power BI.
Power BI capabilities and models of data visualization.
Implementation of a data visualization model with a dashboard.

Bibliografia

Reference texts
Author Title Publishing house Year ISBN Notes
R. O. Ramos, J. Stirrup Advanced Analytics with R and Tableau Packt Publishing 2017 9781786460110
J. Steele, N. Iliinsky Beautiful Visualization O'Reilly Media, Inc. 2010 9781449379865
D. Clark Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop (Edizione 2) Apress 2017 9781484225769
A. Kirk Data Visualisation: A Handbook for Data Driven Design SAGE Publications 2016 9781473912137
T. Rahlf Data Visualisation with R: 100 Examples Springer 2017 9783319497501
A. Telea Data Visualization: Principles and Practice CRC Press 2015 9781466585263
R. Brath, D. Jonker Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data Wiley 2015 9781118845844
R. Collie Power Pivot and Power BI: The Excel User's Guide to DAX, Power Query, Power BI & Power Pivot in Excel 2010-2016 (Edizione 2) Holy Macro! Books 2016 9781615470396
R. Sleeper Practical Tableau: 100 Tips, Tutorials, and Strategies from a Tableau Zen Master O'Reilly Media, Inc. 2018 9781491977316
A. Aspin Pro Power BI Desktop (Edizione 1) Apress 2016 9781484218044
A. Cairo The Functional Art: An Introduction to Information Graphics and Visualization (Voices That Matter) (Edizione 1) New Riders Pub. 2012
A. Cairo The Truthful Art: Data, Charts, and Maps for Communication New Riders Pub. 2016 9780321934079
E. R. Tufte The Visual Display of Quantitative Information (Edizione 2) Graphics Press, Cheshire, Connecticut 2001 9781930824133
Tableau Software Visual Analysis Best practices: Simple Techniques for Making Every Data Visualization Useful and Beautiful Tableau Software 2018

Examination Methods

The final examination will consist in an oral discussion of the presentations created during the course.

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.