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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
---|---|---|
First semester bachelor degree | Sep 16, 2019 | Jan 10, 2020 |
Second semester bachelor degree | Feb 17, 2020 | Jun 5, 2020 |
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 |
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.
Academic staff

Manzoni Elena

Santi Flavio
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.
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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1° Year
Modules | Credits | TAF | SSD |
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2° Year activated in the A.Y. 2020/2021
Modules | Credits | TAF | SSD |
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3° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
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.
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)
|
Data Visualization Laboratory (2019/2020)
Teaching code
4S007945
Teacher
Coordinatore
Credits
3
Also offered in courses:
- Data Visualization Laboratory of the course Bachelor's degree in Business Administration (Verona)
- Data Visualization Laboratory of the course Bachelor's degree in Business Administration (Vicenza)
- Data Visualization Laboratory of the course Bachelor's degree in Economics and Business (Vicenza)
- Data Visualization Laboratory of the course Master’s degree in Economics
- Data Visualization Laboratory of the course Master’s degree in Business Management (Vicenza)
- Data Visualization Laboratory of the course Master’s degree in Business Administration and Corporate Law
- Data Visualization Laboratory of the course Master’s degree in Marketing and Corporate Communication
- Data Visualization Laboratory of the course Master’s degree in Banking and Finance
- Data Visualization Laboratory of the course Master's degree in International Economics and Business Management
- Data Visualization Laboratory of the course Master’s degree in Management and business strategy
Language
Italian
Scientific Disciplinary Sector (SSD)
NN - -
Period
Not yet assigned
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 of the School of Economics and Management, in particular to second and third year CdL students.
- 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 CdL students. Students are required to be present at the first lesson, or to send an email to the tutor to comunicate their absence.
- 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 6 December 2019, hours 15:00-18:30, room SMT.1;
Friday 13 December 2019, hours 15:00-18:30, room SMT.1;
Friday 20 December 2019, hours 15:00-18:30, room SMT.1;
(the calendar of the other lessons and of the final exam will be available as soon as possible).
Teacher: dott. Dario Pasetto
Registrations are open from the 19th of October 2019 to the 5th of December 2019.
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 R, Python and MATLAB, useful for more complex analyzes. The program of the course includes some lessons on Data Visualization and on the software Power BI:
- Databases and data types;
- Selection and analysis of data with the software Excel;
- Managing and structuring data for Power BI;
- Introduction to Data Visualization;
- Power BI capabilities and models of data visualization;
- Implementation of a data visualization model with a dashboard.
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
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 Power BI. 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: 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 |
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 |