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.

Type D and Type F activities

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea in Economia e commercio - Enrollment from 2025/2026

SOFT SKILLS  

Find out more about the Soft Skills courses for Univr students provided by the University's Teaching and Learning Centre: https://talc.univr.it/it/competenze-trasversali 

CONTAMINATION LAB 

The Contamination Lab Verona (CLab Verona) is an experiential course with modules on innovation and enterprise culture that offers the opportunity to work in teams with students from all areas to solve challenges set by companies and organisations.

Upon completion of a CLab, students will be entitled to receive 6 CFU (D- or F-type credits).

Find out more: https://www.univr.it/clabverona 

PLEASE NOTE: In order to be admitted to any teaching activities, including those of your choice, you must be enrolled in the academic year in which the activities in question are offered. Students who are about to graduate in the December and April sessions are therefore advised NOT to undertake extracurricular activities in the new academic year in which they are not enrolled, as these graduation sessions are valid for students enrolled in the previous academic year. Therefore, students who undertake an activity in an academic year in which they are not enrolled will not be granted CFU credits.

Academic year:
Primo semestre (lauree) From 9/19/22 To 1/13/23
years Modules TAF Teacher
1° 2° 3° Ciclo tematico di conferenze: “Conflitti. Riconoscere, prevenire, gestire” - 2022/2023 D Riccardo Stacchezzini (Coordinator)
1° 2° 3° Securitisation transactions - Focus on securitisations of OF NPL / NPE /UTP D Michele De Mari (Coordinator)
1° 2° 3° The Fashion Lab - 2022/23 D Caterina Fratea (Coordinator)
Periodo generico From 10/1/22 To 5/31/23
years Modules TAF Teacher
1° 2° 3° Economic Thinking and Thesis Writing D Marco Minozzo (Coordinator)
1° 2° 3° English for Business and Economics - Bachelor's Degrees D Marco Minozzo (Coordinator)
1° 2° 3° Data Analysis Laboratory with R (Verona) D Marco Minozzo (Coordinator)
1° 2° 3° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° 3° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° 3° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° 3° Advanced Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° 3° Excel Laboratory (Verona) D Marco Minozzo (Coordinator)
1° 2° 3° Piano di marketing 2022/23 D Fabio Cassia (Coordinator)
1° 2° 3° Programming in Mathlab D Marco Minozzo (Coordinator)
1° 2° 3° Programming in SAS D Marco Minozzo (Coordinator)
Primo semestre (lauree magistrali) From 10/3/22 To 12/23/22
years Modules TAF Teacher
1° 2° 3° Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 D Angelo Zago (Coordinator)
Secondo semestre (lauree magistrali) From 2/20/23 To 5/19/23
years Modules TAF Teacher
1° 2° 3° The Chartered Accountant as a business consultant D Riccardo Stacchezzini (Coordinator)
Secondo semestre (lauree) From 2/20/23 To 5/31/23
years Modules TAF Teacher
1° 2° 3° Project "B-EDUCATION: ideas that count" - 1 cfu D Roberto Bottiglia (Coordinator)
1° 2° 3° Project "B-EDUCATION: ideas that count" - 2 cfu D Roberto Bottiglia (Coordinator)

Teaching code

4S011379

Coordinator

Marco Minozzo

Credits

3

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

Periodo generico dal Oct 1, 2022 al May 31, 2023.

Learning objectives

Durante il corso si cercherà di mostrare l'importanza della Data Visualization e contemporaneamente utilizzare il software Microsoft Power BI per la creazione di dashboard interattive. Si distinguerà tra infografiche e data visualizations, e si introdurrà la Business Intelligence. Le competenze acquisite saranno utili sia a livello accademico (project work, tesi ecc.) sia a livello lavorativo.

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

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

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 2022/2023.
- All students of the University of Verona can register.
- 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 second semester; there will be just one course.
- The course consists of 18 hours of lessons (plus some hours of tutorial activities and 2 hours of final examination).
The tentative calendar of the lessons is the following:
Saturday 11 March, 9:30 – 12:30
Saturday 18 March, 9:30 – 12:30
Saturday 25 March, 9:30 – 12:30
Saturday 1 April, 9:30 – 12:30
Saturday 15 April, 9:30 – 12:30
Saturday 13 May, 9:30 – 12:30

Teacher: dott. Dario Pasetto
Registrations are open from the 20th of February 2023 to the 31st of March 2023.
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.

Learning assessment procedures

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.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Exam language

Italiano