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 2025/2026SOFT 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.
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Ciclo tematico di conferenze: “Conflitti. Riconoscere, prevenire, gestire” - 2022/2023 | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Securitisation transactions - Focus on securitisations of OF NPL / NPE /UTP | D |
Michele De Mari
(Coordinator)
|
| 1° 2° | Soft Skills Coaching Days - 2022/2023 | D |
Paola Signori
(Coordinator)
|
| 1° 2° | The Fashion Lab - 2022/23 | D |
Caterina Fratea
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Economic Thinking and Thesis Writing | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Job club | D |
Paola Signori
(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° | Laboratory on research methods for business | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Laboratory on research methods for business | D |
Cristina Florio
(Coordinator)
|
| 1° 2° | Piano di marketing 2022/23 | D |
Fabio Cassia
(Coordinator)
|
| 1° 2° | Programming in Mathlab | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | An introduction to multivariate statistical analysis using R - 2022/2023 | D |
Francesca Rossi
(Coordinator)
|
| 1° 2° | Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | English for business and economics | F |
Riccardo Fiorentini
(Coordinator)
|
| 1° 2° | Multinational companies and their foreign direct investment - 2022/2023 | D |
Riccardo Fiorentini
(Coordinator)
|
| 1° 2° | Soft skills training for economics - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | Topics in applied economics and finance - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | Experience 3 Days as a Manager | D |
Riccardo Stacchezzini
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Geopolitics & international negotiations & relations 2022/2023 | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | The Chartered Accountant as a business consultant | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Integrated Financial Planning 2022/2023 | D |
Riccardo Stacchezzini
(Coordinator)
|
| 1° 2° | Professional Communication for Economics 2022/2023 | D |
Claudio Zoli
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° 2° | Project "B-EDUCATION: ideas that count" - 1 cfu | D |
Roberto Bottiglia
(Coordinator)
|
| 1° 2° | Project "B-EDUCATION: ideas that count" - 2 cfu | D |
Roberto Bottiglia
(Coordinator)
|
Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 (2022/2023)
Teaching code
4S011643
Teacher
Coordinator
Credits
2
Also offered in courses:
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Bachelors' degree in Business Administration and Management
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Bachelor's degree in Business Innovation and Economics
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Bachelor's degree in Economics and Business
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Bachelor's degree in Economics, Firms and International Markets
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master’s degree in Marketing and Corporate Communication
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master’s degree in Banking and Finance
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master’s degree in Management and business strategy
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master’s degree in Economics and Data Analysis
- Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 of the course Master's degree in Corporate governance and business administration
Language
English
Scientific Disciplinary Sector (SSD)
NN - -
Period
Primo semestre (lauree magistrali) dal Oct 3, 2022 al Dec 23, 2022.
Learning objectives
At the end of this class, the student will know more about how to collect, manage and use data for business analytics purposes, using Excel proficiently:
· to use data for descriptive purposes;
· to use data for predictive purposes;
· to use data for prescriptive purposes.
Program
1. The concept of Business Analytics (what is it?, why is it needed?, what is it good for?, how can we implement it?
2. Descriptive analytics
2.1. Visualization, exploration and data analysis
2.1.1. Pivot Tables
2.1.2. Dashboards
3. Predictive analytics
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.
Periodo di svolgimento: seconda e terza settimana di novembre 2022.
Destinatari: Studenti del CdLM in IEB; il corso è però aperto anche agli studenti di altri CdS, fino ad un massimo di 30 partecipanti.
Learning assessment procedures
Attenzione: Si ricorda che i laureandi di dicembre 2022/aprile 2023 non possono partecipare e richiedere l'accreditamento di cfu per la presente attività, in quanto si tratta di un'erogazione 2022/2023, mentre le sessioni di laurea si riferiscono all'a.a. 2021/2022.
Gli studenti regolarmente iscritti all'a.a. 2022/2023 sono tenuti a inserire l'attività a libretto.
Modalità di accertamento del profitto: The recognition of credits is subject to the attendance of the scheduled classes and
the passing of a final test consisting of 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).
Data proposta per l’appello verbalizzante: 15 gennaio 2023
Impegno orario richiesto: 50 ore
CFU riconosciuti: 2 CFU
