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 |
---|---|---|
Periodo generico | Oct 1, 2023 | May 31, 2024 |
Primo semestre (lauree magistrali) | Oct 2, 2023 | Dec 22, 2023 |
Secondo semestre (lauree magistrali) | Feb 26, 2024 | May 24, 2024 |
Session | From | To |
---|---|---|
Sessione invernale (lauree magistrali) | Jan 8, 2024 | Feb 23, 2024 |
Sessione estiva (lauree magistrali) | May 27, 2024 | Jul 12, 2024 |
Sessione autunnale (lauree magistrali) | Aug 26, 2024 | Sep 20, 2024 |
Session | From | To |
---|---|---|
Sessione autunnale a.a. 2022/2023 | Dec 5, 2023 | Dec 7, 2023 |
Sessione invernale a.a. 2022/2023 | Apr 3, 2024 | Apr 5, 2024 |
Sessione estiva a.a. 2023/2024 | Sep 4, 2024 | Sep 6, 2024 |
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.
Academic staff
Study 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 enrollment year.
1° Year
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2° Year activated in the A.Y. 2024/2025
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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.
Quantitative methods for business and economics (2023/2024)
Teaching code
4S008973
Credits
12
Coordinator
Language
English
Courses Single
AuthorizedThe teaching is organized as follows:
Learning objectives
The course aims at providing students the capabilities for addressing, in a quantitative framework, the main issues that arise in the economic and business context. The course is organized in two modules, specifically targeting mathematical and computational tools and data management and analysis.
In the first part, the module on mathematical and computational methods presents fundamental notions on unconstrained/constrained optimization and ordinary differential equations. In the second part of the module, computational programs are used to solve optimization problems and differential equations. The module on data management deals with the tools that can be used for handling and analysing data for business and economics. Specific software will be used to summarize the main information embedded in a sample of interest and to highlight the characteristics of the economic variables under analysis both through indices and graphical representations.
At the end of the course students should be able to provide a mathematical formulation for problems related to economics and management with the aim of identifying, given the prescribed objectives, their best solution. Students will develop the capability of solving the mathematical problems presented during the course using both analytical and computational techniques. The students will also acquire autonomy in the management of databases in order to extract information that can inform the decision process in business and policy areas.
Prerequisites and basic notions
The prerequisites are the basic notions of Mathematics acquired in a bachelor’s degree in Economics; in particular, elements of analytical geometry, plot of functions of a single variable, derivatives, integrals by parts and by substitution, determinant and rank of a matrix.
Bibliography
Criteria for the composition of the final grade
The final exam is a written test. The valuation obtained in the homework related to the laboratory activity contributes to the final grade.
In particular, the homework is worth 50% of the grade of Module I (Data Management for Business and Economics), and 40% of the grade of Module II (Mathematical and Computational Methods for Business and Economics). The final grade of the exam is given by the mean of the marks obtained in the two modules.
Type D and Type F activities
Nei 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 |
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1° 2° | Thematic cycle of conferences on Women's "leadership": data, reflections and experiences | D |
Martina Menon
(Coordinator)
|
1° 2° | Educational laboratory on credit securitization | D |
Michele De Mari
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° 2° | Data Analysis Laboratory with R (Verona) | 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 (Verona) | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Excel Laboratory (Verona) | 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° | Plan your future | D |
Paolo Roffia
(Coordinator)
|
1° 2° | Plan your future | D |
Paolo Roffia
(Coordinator)
|
1° 2° | Programming in Matlab | D |
Marco Minozzo
(Coordinator)
|
1° 2° | Programming in SAS | D |
Marco Minozzo
(Coordinator)
|
years | Modules | TAF | Teacher |
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1° 2° | Elements of financial risk management 2023/2024 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | English for business and economics | F |
Claudio Zoli
(Coordinator)
|
1° 2° | Introduction to business plan | D |
Paolo Roffia
(Coordinator)
|
1° 2° | Introduction to Java programming | D |
Alessandro Gnoatto
(Coordinator)
|
1° 2° | Topics in applied economics and finance - 2023/2024 | D |
Claudio Zoli
(Coordinator)
|
years | Modules | TAF | Teacher |
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1° 2° | Data discovery for business decisions | D |
Claudio Zoli
(Coordinator)
|
1° 2° | Digital experiments in economics - 2023/2024 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | The accountant as a business consultant | D |
Riccardo Stacchezzini
(Coordinator)
|
1° 2° | Key markets / business approach & business negotiations - 2023/2024 | D |
Angelo Zago
(Coordinator)
|
1° 2° | Professional communication for economics – 2023/2024 | D |
Claudio Zoli
(Coordinator)
|
1° 2° | The why, the what and the how of structural equation modelling | D |
Cristina Florio
(Coordinator)
|
1° 2° | Topics in economics and ethics of artificial intelligence- 2023/2024 | D |
Claudio Zoli
(Coordinator)
|
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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Graduation
List of thesis proposals
theses proposals | Research area |
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PMI (SMES) and financial performance | MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES |
Corporate governance, financial performance and international business | Various topics |
Linguistic training CLA
Internships
The curriculum of the three-year degree courses (CdL) and master's degree courses (CdLM) in the economics area includes an internship as a compulsory training activity. Indeed, the internship is considered an appropriate tool for acquiring professional skills and abilities and for facilitating the choice of a future professional outlet that aligns with one's expectations, aptitudes, and aspirations. The student can acquire further competencies and interpersonal skills through practical experience in a work environment.
Gestione carriere
Student login and resources
Methods of teaching delivery
All lectures as well as all the exams are held in person. In particular, we highlight the importance of taking part in classroom activities in order to benefit from interaction with colleagues and instructors and participating in project works, presentations and group works that could be organized by the different courses.
Furthermore, as a further service to students, the lessons will be video-recorded and made available on the relevant e-learning platform of the courses unless otherwise communicated by the individual lecturers who will also define the methods and times for activating this service. However, it is underlined that the recordings do not represent a substitute for the lectures and activities carried out in the classroom.