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 magistrale in International Economics and Business - Enrollment from 2025/2026
Academic year:
primo semestre (lauree) From 9/28/20 To 12/23/20
years Modules TAF Teacher
Future matters D Alessandro Bucciol (Coordinator)
Future matters D Alessandro Bucciol (Coordinator)
primo semestre (lauree magistrali) From 10/5/20 To 12/23/20
years Modules TAF Teacher
The fashion lab (1 ECTS) D Maria Caterina Baruffi (Coordinator)
The fashion lab (2 ECTS) D Maria Caterina Baruffi (Coordinator)
The fashion lab (3 ECTS) D Maria Caterina Baruffi (Coordinator)
1° 2° Introduction to the use of R - 2020/21 D Francesca Rossi (Coordinator)
secondo semestre (lauree) From 2/15/21 To 6/1/21
years Modules TAF Teacher
Design and Evaluation of Economic and Social Policies D Federico Perali (Coordinator)
Public debate and scientific writing - 2020/2021 D Martina Menon (Coordinator)
Soft skills coaching days Vicenza (terza edizione) - 2020/2021 D Paola Signori (Coordinator)
Wake up Italia - 2020/2021 D Sergio Noto (Coordinator)
secondo semestre (lauree magistrali) From 3/1/21 To 6/1/21
years Modules TAF Teacher
Professional Communication for Economics D Claudio Zoli (Coordinator)
Transactional skills in business law - 2020/2021 D Caterina Fratea (Coordinator)
1° 2° Bases of data visualization. A software-free introduction - 2020/21 D Angelo Zago (Coordinator)
List of courses with unassigned period
years Modules TAF Teacher
Business & predictive analytics for international firms with Excel applications - 2020/21 D Angelo Zago (Coordinator)
Ciclo di video conferenze: "L’economia del Covid, Verona e l’Italia. Una pandemia che viene da lontano?" - 2020/21 D Sergio Noto (Coordinator)
Ciclo tematico di conferenze (on-line): “Come saremo? Ripensare il mondo dopo il 2020” - 2020/21 D Federico Brunetti (Coordinator)
Integrated Financial Planning - 2020/21 D Riccardo Stacchezzini (Coordinator)
Marketing plan - 2020/21 D Virginia Vannucci (Coordinator)
1° 2° Corso di lingua tedesca - livello a1 (1 cfu) - 2020 (2020/2021) D Giorgio Mion (Coordinator)
1° 2° Corso di lingua tedesca - livello a1 (3 cfu) - 2020 (2020/2021) D Giorgio Mion (Coordinator)
1° 2° Data Analysis Laboratory with R (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Data Visualization Laboratory D Marco Minozzo (Coordinator)
1° 2° Python Laboratory D Marco Minozzo (Coordinator)
1° 2° Data Science Laboratory with SAP D Marco Minozzo (Coordinator)
1° 2° Advanced Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Excel Laboratory (Vicenza) D Marco Minozzo (Coordinator)
1° 2° Programming in Matlab D Marco Minozzo (Coordinator)
1° 2° Programming in SAS D Marco Minozzo (Coordinator)

Teaching code

4S009725

Teacher

Angelo Zago

Coordinator

Angelo Zago

Credits

2

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

Not yet assigned

Learning outcomes

The training proposal concerns the activation of a didactic module in English for 2 ECTS (12 hours of online lectures), aimed at MSc International Economics & Business (Management) students. It is aimed at introducing some Business & Predictive Analytics applications using Excel for the analysis of some problems of international firms. The module will ideally be linked to the course of International Industrial Policy of the MSc in in International Economics & Business Management.

Program

The module (in english) will be taught by Prof.ssa Maria da Conceição Andrade e Silva - Católica Porto Business School and will cover the following topics:
1. The concept of Business Analytics (what is it?, why is it needed?, what is it good for?, how can we implement it? (1 hour)
2. Descriptive analytics (3 hours)
2.1. Visualization, exploration and data analysis
2.1.1. Pivot Tables
2.1.2. Dashboards
3. Predictive analytics (4 hours)
3.1.Predictive models (from causal models to time series models)
3.2. Excel tools for predictive analytics with practical international examples (what if analysis, scenario manager, data tables) using OECD data.
4. Prescriptive analytics (4 hours)

Examination Methods

The recognition of credits is subject to the attendance of the scheduled hours of lessons and the passing of a final test consisting in the application of the concepts learned during the module to a database chosen by the student and the preparation of a summary report of the analysis performed ( about 2000 words).

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