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 2025/2026Nei 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 dalla Commissione didattica 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.
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
CONTAMINATION LAB
Il Contamination Lab Verona (CLab Verona) è un percorso esperienziale con moduli dedicati all'innovazione e alla cultura d'impresa che offre la possibilità di lavorare in team con studenti e studentesse di tutti i corsi di studio per risolvere sfide lanciate da aziende ed enti. Il percorso permette di ricevere 6 CFU in ambito D o F. Scopri le sfide: https://www.univr.it/clabverona
ATTENZIONE: Per essere ammessi a sostenere una qualsiasi attività didattica, incluse 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° 3° | Thematic cycle of conferences on Women's "leadership": data, reflections and experiences | D |
Martina Menon
(Coordinator)
|
| 1° 2° 3° | English for Business and Economics - Bachelor's Degrees | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° 3° | Educational laboratory on credit securitization | D |
Michele De Mari
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 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° | Plan your future | D |
Paolo Roffia
(Coordinator)
|
| 1° 2° 3° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
| 1° 2° 3° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
| years | Modules | TAF | Teacher | |
|---|---|---|---|---|
| 1° 2° | Digital experiments in economics - 2023/2024 | D |
Claudio Zoli
(Coordinator)
|
|
| 1° 2° | Topics in economics and ethics of artificial intelligence- 2023/2024 | D |
Claudio Zoli
(Coordinator)
|
|
| 1° 2° 3° | The accountant as a business consultant | D |
Riccardo Stacchezzini
(Coordinator)
|
|
Policy Design and Evaluation Laboratory (2023/2024)
Teaching code
4S008964
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
SECS-P/02 - ECONOMIC POLICY
Period
Secondo semestre (lauree) dal Feb 26, 2024 al May 31, 2024.
Courses Single
Authorized
Learning objectives
The course completes the contents, both from a cultural and educational point of view, of the fundamental course of Political Economy that teaches the basic principles of welfare economics and market efficiency analysis from a social point of view. These notions are essential to understanding the impact of economic policies or shocks, such as the 2020 health emergency, on the well-being of citizens and firms’ efficiency, the supply of labor and the demand for consumer goods, and on the economy in general. The acquisition of basic knowledge concerns the typical tools of a laboratory devoted to the analysis of economic policies and to the economic interpretation of large economic data bases such as micro and macro-econometrics tools and mathematical programming tools for the analysis of social accounting matrices and simple equilibrium models connected to them. The skills that this approach based on the learning-by-doing principle (in this case by analysing data and economic policies related to real social problems) intends to develop concern the team work, considering that more students will work on the same or on more projects of interest, leadership (the project manager will be responsible for the quality of the result of the project itself), ability to solve problems also through co-creation processes of solutions based on the dialogue between the stakeholders of the project itself, and the ability to implement the same projects at and with companies or institutions that are stakeholders. These cognitive and non-cognitive skills, also of a transversal type such as communication skills within the group and skills in presenting results, autonomy of critical judgment and learning through practice, are fundamental for the cultural growth of the student and for his professional practice because the student will be able to take advantage of a set of analysis tools and interpretation of economic big data and models acquired in the laboratory that are supposed to be of great utility for the future profession.
Prerequisites and basic notions
Mathematics, micro and macro economics, econometrics and economic policy
Program
The course complements the contents of of Economic Policy, which teaches the basic principles of the economics of well-being and market analysis. These notions are fundamental for understanding the impact of economic policies or shocks, such as the health emergency of 2020, on the well-being of citizens and the efficiency of businesses, the supply of labor and the demand for consumer goods, and on the economy in general. The knowledge concerns the typical tools of an analysis laboratory of economic policies and of the large economic databases on which the analyzes are based: tools of micro and macro-econometrics and mathematical programming for the analysis of social accounting matrices and simple equilibrium models connected to them. The skills that this approach based on the principle of learning-by-doing (in this case analyzing real economic data and policies) intends to develop concern team work, considering that more students will work on the same or more projects of interest, leadership (the project leader will be responsible for the quality of the result of the project itself), for the ability to solve problems also through co-creation processes of solutions based on the dialogue between the stakeholders of the project itself, and the ability to implement the same projects at and with companies or institutions with stakeholders. These cognitive and non-cognitive skills, even of a transversal type such as communication skills within the group and skills in the presentation of results, autonomy of critical judgment and learning through practice, are fundamental for the cultural growth of the student and for his professional practice who will be able to benefit from a set of analysis and interpretation tools of economic big data and models acquired in the laboratory of great use in the world of work.
Bibliography
Didactic methods
Classroom meetings include the use of the blackboard and slide presentations, group discussions and exercises, students will be able to learn techniques of project evaluation and economic policies, collection and statistical and econometric analysis of data , economic interpretation of the results and drafting of a scientific report. Students will be able to deepen the topics covered in class through the material made available on the e-learning site dedicated to teaching and other material reported from time to time by the teacher. Students will work in groups that have been assigned a project. The groups will function as open workshops that allow students to learn from the experiences of other projects in the class. Students will learn by doing as leaders of projects for which they are responsible and will be personally involved in the phase of data collection (if they do not marry a project with data already available) and data analysis. The phase of problem analysis and solution proposals will be very important, possibly co-created with the stakeholders of the problem itself, possibly implementable in reality.
Learning assessment procedures
The exam verifies the level of achievement of the previously indicated training objectives. The exam consists in the completion of a scientific project report and a short presentation.
Evaluation criteria
The elements taken into consideration for the evaluation are: a) originality of the topic and of the analysis; b) scientific rigor of the presentation (use of economic and econometric models, graphs, tables and their interpretation); c) critical ability in the analysis of the topic. Plagiarism compromises the positive evaluation of the thesis.
Criteria for the composition of the final grade
The final grade is made up of 75% from the scientific project and 25% from active participation in the classroom.
Exam language
Italiano
