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 |
---|---|---|
primo semestre (lauree magistrali) | Oct 5, 2020 | Dec 23, 2020 |
secondo semestre (lauree magistrali) | Mar 1, 2021 | Jun 1, 2021 |
Session | From | To |
---|---|---|
sessione invernale | Jan 11, 2021 | Feb 12, 2021 |
sessione estiva | Jun 7, 2021 | Jul 23, 2021 |
sessione autunnale | Aug 23, 2021 | Sep 17, 2021 |
Session | From | To |
---|---|---|
sessione autunnale (validità a.a. 2019/20) | Dec 9, 2020 | Dec 11, 2020 |
sessione invernale (validità a.a. 2019/20) | Apr 7, 2021 | Apr 9, 2021 |
sessione estiva (validità a.a. 2020/21) | Sep 6, 2021 | Sep 8, 2021 |
Period | From | To |
---|---|---|
Vacanze di Natale | Dec 24, 2020 | Jan 6, 2021 |
Vacanze di Pasqua | Apr 3, 2021 | Apr 6, 2021 |
Vacanze estive | Aug 9, 2021 | Aug 15, 2021 |
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
Magazzini Laura
laura.magazzini@univr.it 045 8028525Vannucci Virginia
virginia.vannucci@univr.itStudy 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 |
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2° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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Modules | Credits | TAF | SSD |
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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.
Type D and Type F activities
years | Modules | TAF | Teacher |
---|---|---|---|
1° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
1° | Future matters | D |
Alessandro Bucciol
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° | The fashion lab (1 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
1° | The fashion lab (2 ECTS) | D |
Maria Caterina Baruffi
(Coordinator)
|
years | Modules | TAF | Teacher |
---|---|---|---|
1° | Design and Evaluation of Economic and Social Policies | D |
Federico Perali
(Coordinator)
|
1° | Public debate and scientific writing - 2020/2021 | D |
Martina Menon
(Coordinator)
|
1° | Wake up Italia - 2020/2021 | D |
Sergio Noto
(Coordinator)
|
years | Modules | TAF | Teacher | |
---|---|---|---|---|
1° | Professional Communication for Economics | D |
Claudio Zoli
(Coordinator)
|
|
1° 2° | Business analytics: make your data make an impact - 2020/2021 | D |
Claudio Zoli
(Coordinator)
|
Quantitative methods for business and economics - DATA MANAGEMENT FOR BUSINESS AND ECONOMICS (2020/2021)
Teaching code
4S008973
Teacher
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
SECS-P/05 - ECONOMETRICS
Period
primo semestre (lauree magistrali) dal Oct 5, 2020 al Dec 23, 2020.
Learning outcomes
This module deals with the tools that can be used for data management and analysis for business and economics. Specific software (with a focus on MatLab) 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 the student will have to demonstrate that he/she has acquired autonomy in the management of databases in order to extract information that can inform the decision process in business and policy areas.
Program
1. Management of data and data types
2. Main data sources in business and economics
3. Descriptive analysis
3.1 Frequency distribution
3.2 Graphs
3.3 Position indexes
3.4 Variability indexes
3.5 Additional characteristics of a distribution
4. Basic concepts in probability and inferential statistics
4.1 Discrete random variables
4.2 Continuous random variables
4.3 Estimation
4.4 Hypothesis testing
Teaching supply:
The module consists of 36 hours of lectures (equivalent to 6 credits).
Classes will provide the main tools for data analysis and representation of complex phenomena. The software MatLab will be used for solving practical problems.
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
Docente del corso | Le dispense ed altro materiale didattico verranno forniti dal Docente | ||||
Newbold Paul, Carlson William, Thorne Betty | Statistics for Business and Economics | Pearson | 2013 | 9780132745659 |
Examination Methods
The final exam is a written test. The valuation obtained in the homework related to the laboratory activity contributes to the final grade.
The possibility to participate remotely to the exam is guaranteed for all the requesting students.
The content, the allowed time and the evaluation criteria of the test will be the same whether for the students in the classroom or for the remote ones.
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
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.