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 |
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1° periodo lezioni (1A) | Sep 16, 2024 | Oct 26, 2024 |
1° periodo lezioni (1B) | Nov 4, 2024 | Dec 16, 2024 |
2° periodo lezioni (2A) | Feb 10, 2025 | Mar 22, 2025 |
2° periodo lezioni (2B) | Mar 31, 2025 | May 23, 2025 |
Exam calendar
Exam dates and rounds are managed by the relevant Law 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
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 It will be activated in the A.Y. 2025/2026
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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.
New technologies and data management (2024/2025)
Teaching code
4S009800
Credits
12
Coordinator
Language
Italian
Courses Single
AuthorizedThe teaching is organized as follows:
STATISTICA DI BASE
Credits
6
Period
1° periodo lezioni (1B)
Academic staff
Not yet assigned
Learning objectives
The course is included in the learning area on New Technologies and Data Management. The course aims at providing students with basic knowledge in computer science and statistical analysis concerning new technologies, to allow the operational management of fundamental tools such as technologies, digital systems and, data on which to set legal responses. The learning focuses both on the in-depth study of the basic mechanisms that govern the programming and functioning of the main computer and digital technologies used in society, in a way that is understandable to a jurist, with particular regard to the challenges they pose in terms of security, reliability, transparency, obsolescence, and the main methods of statistical analysis of data used by companies and institutions that are essential to make rational and informed legal choices.
At the end of the course, the student will have acquired the ability to understand the basic functioning of a computer system, its limits and its potential, with particular reference to SW systems and systems based on artificial intelligence. By applying the basic tools of statistics and probability theory in a methodologically rigorous way, the student will also acquire the ability to understand the mechanisms of selection and production of data and their implications in terms of treatment, analysis, and interpretation.
The student will acquire the ability to face and solve real problems in the professional context in which he/she will operate, with particular reference to computer systems for data management, systems designed to support decisions and problems related to the safety and reliability of these systems, problems related to the responsibility of the designer and user. He/she will also be able to render a correct interpretation of statistical information, identifying the limits, the criticalities and the potentialities that characterize the data he/she will have to analyze. He/she will be able to assess the impact of a computer system within a company or public or private body, or in communities and social networks, as well as to use statistical information to support the analysis and understanding of problems and the decisions that may result, in written and oral form, also through group work, written exercises, and the Problem Based Solving method (PBS), the solution of concrete issues, using the appropriate and specific disciplinary vocabulary, adopting the correct lines of reasoning and argumentation, making independent decisions. The teaching method used is functional to the continuous learning and updating of acquired knowledge.
Type D and Type F activities
Modules not yet included
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 soon also via the Univr app.
Internships
Internships are aimed at enabling students to gain direct knowledge of the world of work and to acquire specific professional skills.
Internships are carried out under the responsibility of an individual lecturer, and can be carried out in professional firms, public administration bodies and companies recognised by the University of Verona.
Any CFU credits gained by doing internships will be recognised and recorded by the University in accordance with the relevant University regulations in force (Regolamento d’Ateneo per il riconoscimento dei crediti maturati negli stage universitari).
For further information on internships, please go to: https://www.univr.it/it/i-nostri-servizi/stage-e-tirocini.