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 |
|---|---|---|
| primo semestre (lauree) | Sep 20, 2021 | Jan 14, 2022 |
| secondo semestre (lauree) | Feb 21, 2022 | Jun 1, 2022 |
| 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 |
| 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.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
045 802 8494
martina.menon@univr.it
maurizio.pizzamiglio@univr.it
fabio.sartori@univr.it
alex.sclip@univr.it
Vannucci Virginia
virginia.vannucci@univr.it
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 |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year activated in the A.Y. 2022/2023
| Modules | Credits | TAF | SSD |
|---|
3° Year It will be activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
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.
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.
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Marketing plan | D |
Virginia Vannucci
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinatore)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinatore)
|
| 1° 2° | Internationalization and Sustainability. Friends or Enemies? | D |
Angelo Zago
(Coordinatore)
|
| 1° 2° | Data Science Laboratory with SAP | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Programming in Matlab | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | What paradigms beyond the pandemic? Individual vs. Society, Private vs. Public | D |
Federico Brunetti
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Economics, financial statement and control of Italian healthcare and social care organizations | D |
Paolo Roffia
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | AN INTRODUCTION TO LATEX TYPESETTING SYSTEM | D |
Alberto Peretti
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | English for Business and Economics - Bachelor's Degrees | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Data Analysis Laboratory with R (Verona) | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Data Visualization Laboratory | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Python Laboratory | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Advanced Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Excel Laboratory (Verona) | D |
Marco Minozzo
(Coordinatore)
|
| 1° 2° | Samsung Innovation Camp | D |
Marco Minozzo
(Coordinatore)
|
Data Visualization Laboratory (2021/2022)
Teaching code
4S010389
Teacher
Coordinatore
Credits
3
Also offered in courses:
- Data Visualization Laboratory of the course Bachelors' degree in Business Administration and Management
- Data Visualization Laboratory of the course Bachelor's degree in Business Administration (Verona)
- Data Visualization Laboratory of the course Bachelor's degree in Economics and Business (Verona)
- Data Visualization Laboratory of the course Master’s degree in Banking and Finance
- Data Visualization Laboratory of the course Master’s degree in Marketing and Corporate Communication
- 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 Economics and Data Analysis
- Data Visualization Laboratory of the course Master's degree in Corporate governance and business administration
- Data Visualization Laboratory of the course Bachelor's degree in Business Innovation and Economics
- Data Visualization Laboratory of the course Bachelor's degree in Economics, Firms and International Markets
- 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 Management and business strategy
- Data Visualization Laboratory of the course Master’s degree in International Economics and Business
Language
Italian
Scientific Disciplinary Sector (SSD)
NN - -
Period
Periodo generico dal Oct 1, 2021 al May 31, 2022.
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 available only to students that are regularly enrolled to the academic year 2021/202.
- All CdL and CdLM students of the School of Economics and Management can register. The course is aimed in particular at second and third year CdL students. In case of limitations to the total number of places available, requests for participation will be considered following the registration order, considering that CdL students will have priority over CdLM students.
- The lessons will be delivered online through Zoom meetings. All the lessons will be registered for later viewing.
- The course will take place in the first semester; there will be just one course.
- The course consists of 18 hours of exercise lessons and tutorial activity (plus 2 hours of final examination).
The calendar of the lessons will be available as soon as possible.
Tutor: to be defined
Registrations are open from the 1st of October 2021 to the 30th of November 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.
Program
In recent years, Data Presentation has established itself as one of the 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.
Bibliography
Examination Methods
The final examination, which will very likely 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 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.
