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 28, 2020 | Dec 23, 2020 |
| secondo semestre (lauree) | Feb 15, 2021 | Jun 1, 2021 |
| Session | From | To |
|---|---|---|
| sessione invernale | Jan 11, 2021 | Feb 12, 2021 |
| sessione estiva | Jun 7, 2021 | Jul 23, 2021 |
| sessione autunnale | Aug 23, 2021 | Sep 17, 2021 |
| Session | From | To |
|---|---|---|
| sessione autunnale (validità a.a. 2019/20) | Dec 9, 2020 | Dec 11, 2020 |
| sessione invernale (validità a.a. 2019/20) | Apr 7, 2021 | Apr 9, 2021 |
| sessione estiva (validità a.a. 2020/21) | Sep 6, 2021 | Sep 8, 2021 |
| Period | From | To |
|---|---|---|
| Vacanze di Natale | Dec 24, 2020 | Jan 6, 2021 |
| Vacanze di Pasqua | Apr 3, 2021 | Apr 6, 2021 |
| Vacanze estive | Aug 9, 2021 | Aug 15, 2021 |
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
Vannucci Virginia
virginia.vannucci@univr.itStudy 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
| Modules | Credits | TAF | SSD |
|---|
3° Year
| 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
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinatore)
|
| 1° | Future matters | D |
Alessandro Bucciol
(Coordinatore)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinatore)
|
| 1° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinatore)
|
| 1° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinatore)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° | Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 | D |
Sergio Noto
(Coordinatore)
|
|
| 1° | Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 | D |
Federico Brunetti
(Coordinatore)
|
|
| 1° | Marketing plan - 2020/21 | D |
Virginia Vannucci
(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° | Programming in Matlab | D |
Marco Minozzo
(Coordinatore)
|
|
| 1° 2° 3° | Programming in SAS | D |
Marco Minozzo
(Coordinatore)
|
|
Data Visualization Laboratory (2020/2021)
Teaching code
4S009611
Teacher
Coordinatore
Credits
3
Also offered in courses
- Bachelor's degree in Business Administration (Verona)
- Bachelor's degree in Economics and Business (Verona)
- Bachelor's degree in Business Administration (Vicenza)
- Bachelor's degree in Economics and Business (Vicenza)
- Master’s degree in Economics
- Master’s degree in Business Administration and Corporate Law
- Master’s degree in Marketing and Corporate Communication
- Master’s degree in Banking and Finance
- Master's degree in International Economics and Business Management
- Master’s degree in Management and business strategy
- Bachelor's degree in Business Innovation and Economics
- Bachelor's degree in Economics, Firms and International Markets
- Bachelors' degree in Business Administration and Management
- Master’s degree in Economics and Data Analysis
- Master’s degree in International Economics and Business
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.
- Due to the COVID-19 emergency, this year lessons will be delivered online through Zoom meetings. The course has, approximately, 50 places.
- The course will take place in the first semester; there will be just one course.
- Requests for participation will be considered following the registration order; CdL students will have priority over CdLM students. Students are required to participate to the first lesson, or to send an email to the tutor to communicate 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 calendar of the course will be available as soon as possible.
Teacher: to be announced
Registrations are open from the 13th of October 2020 to the 18th of October 2020.
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.
| 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, which will take place online through a Zoom meeting, will consist of 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.
Bibliography
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.
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.
