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, 2022 | May 31, 2023 |
| Primo semestre (lauree magistrali) | Oct 3, 2022 | Dec 23, 2022 |
| Secondo semestre (lauree magistrali) | Feb 20, 2023 | May 19, 2023 |
| Session | From | To |
|---|---|---|
| Sessione invernale (lauree magistrali) | Jan 9, 2023 | Feb 17, 2023 |
| Sessione estiva (lauree magistrali) | May 22, 2023 | Jul 7, 2023 |
| Sessione autunnale (lauree magistrali) | Aug 28, 2023 | Sep 22, 2023 |
| Session | From | To |
|---|---|---|
| Sessione autunnale | Dec 5, 2022 | Dec 7, 2022 |
| Sessione invernale | Apr 4, 2023 | Apr 6, 2023 |
| Sessione estiva | Sep 5, 2023 | Sep 7, 2023 |
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.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
045 802 8224
maurizio.malpede@univr.it
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
| Modules | Credits | TAF | SSD |
|---|
One module between the following2° Year activated in the A.Y. 2023/2024
| Modules | Credits | TAF | SSD |
|---|
Two modules among the followingTwo modules among the followingOne module between the following| Modules | Credits | TAF | SSD |
|---|
One module between the following| Modules | Credits | TAF | SSD |
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Two modules among the followingTwo modules among the followingOne module between the following| Modules | Credits | TAF | SSD |
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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 (2022/2023)
The teaching is organized as follows:
MATHEMATICAL AND COMPUTATIONAL METHODS FOR BUSINESS AND ECONOMICS
Credits
6
Period
Primo semestre (lauree magistrali)
Academic staff
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
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.
| 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° | 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° | 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° | 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° | Business & predictive analytics for International Firms (with Excel Applications) - 2022/23 | D |
Angelo Zago
(Coordinator)
|
| 1° 2° | Elements of Financial Risk Management - 2022/23 | D |
Claudio Zoli
(Coordinator)
|
| 1° 2° | English for business and economics | F |
Claudio Zoli
(Coordinator)
|
| 1° 2° | Introduction to Business Plan - 2022/23 | D |
Paolo Roffia
(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° | Data Discovery for Business Decisions 2022/2023 | D |
Claudio Zoli
(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° | Predictive Analytics for Business Decisions 2022/2023 | D |
Claudio Zoli
(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)
|
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 |
|---|---|
| PMI (SMES) and financial performance | MANAGEMENT OF ENTERPRISES - MANAGEMENT OF ENTERPRISES |
| Corporate governance, financial performance and international business | Various topics |
Linguistic training CLA
Internships
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.
