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 |
|---|---|---|
| I semestre | Oct 1, 2020 | Jan 29, 2021 |
| II semestre | Mar 1, 2021 | Jun 11, 2021 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Feb 1, 2021 | Feb 26, 2021 |
| Sessione estiva d'esame | Jun 14, 2021 | Jul 30, 2021 |
| Sessione autunnale d'esame | Sep 1, 2021 | Sep 30, 2021 |
| Period | From | To |
|---|---|---|
| Festa dell'Immacolata | Dec 8, 2020 | Dec 8, 2020 |
| Vacanze Natalizie | Dec 24, 2020 | Jan 3, 2021 |
| Vacanze Pasquali | Apr 2, 2021 | Apr 5, 2021 |
| Festa del Santo Patrono | May 21, 2021 | May 21, 2021 |
| Festa della Repubblica | Jun 2, 2021 | Jun 2, 2021 |
| Vacanze estive | Aug 9, 2021 | Aug 15, 2021 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering 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
+39 045 802 7913
marco.carradore@univr.it
mariano.ceccato@univr.it
mila.dallapreda@univr.it
Di Nicola Andrea
giorgia.guerra@univr.it
niccolo.marastoni@univr.it
abigail.owusu@univr.it
igor.pelgreffi@univr.it
Raffaele Alice
alice.raffaele@univr.it
rosamaria.vadala@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 |
|---|
2° Year activated in the A.Y. 2021/2022
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
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.
Ethics and law of data protection - LAW (2021/2022)
Teaching code
4S009075
Academic staff
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
IUS/01 - PRIVATE LAW
Period
Primo semestre, Secondo semestre
To show the organization of the course that includes this module, follow this link: Course organization
Learning outcomes
On successfully completing the module, students will be able to:
- demonstrate an advanced grounding in concepts, principles, and rules of data protection, consent, and privacy;
- detect and formulate the relevant data protection issues when presented with a case;
- comfortably use the relevant sources of law and correctly identify their weight in the process of interpreting and applying the relevant provisions;
- provide arguments to assess legal issues that requires balancing data protection against other rights, freedoms, or interests.
Program
The goal of the course is to provide a thorough overview of the European General
Data Protection Regulation (GDPR), with a special focus on the underlying principles, the rules, their method of implementation, and the risk-based approach to data protection.
The course covers the following topics:
I. Context and backgrounds of European Data Protection Law
· the right to personal data protection
· limitations on the right to personal data protection
· interaction with other rights and legitimate interests
II. Data Protection terminology
· personal data
· data processing
· users of personal data
· consent
III. Key principles of European Data Protection Law
· the lawfulness, fairness, and transparency of processing principles
· the principle of purpose limitation
· the data minimisation principle
· the data accuracy principle
· the storage limitation principle
· the data security principle
· the accountability principle
IV. Rules of European Data Protection Law
· rules on lawful processing
· rules on security of processing
· rules on accountability and promoting compliance
· data protection by design and by default
V. Data subjects’ rights
· right to be informed
· right to rectification
· right to erasure (‘the right to be forgotten’)
· right to restriction of processing
· right to data portability
· right to object
· automated individual decision-making, including profiling
VI. Accountability, risk-based approach and organizational requirements imposed by GDPR
VII. Remedies, civil liability and administrative fines
VIII. Data transfers to third Countries
IX. Supervisory Authorities and the European Data Protection Board
In order to have a general and analytical view on data protection law and the impact of digital technology on individual rights, students can refer to:
The EU general data protection regulation (GDPR): a practical guide / Paul Voigt, Axel vom dem Bussche, 2017 (only pp. 1-29; 31-94; 87-115; 141-185; 189-199; 201-216)
Judgments (available for free, on-line):
CJEU, C-473/12, Institut professionnel des agents immobiliers (IPI) v. Englebert, 2013
CJEU, C-131/12, Google Spain SL, Google Inc. v. Agencia Española de Protección de Datos (AEPD), Mario Costeja Gonzál, 2014
CJEU, C-553/07, College van burgemeester en wethouders van Rotterdam v. M. E. E. Rijkeboer, 2009
CJEU, C-398/15, Camera di Commercio, Industria, Artigianato e Agricoltura di Lecce v. Salvatore Manni, 2017
ECtHR, 27138/04, CASE OF CIUBOTARU v. MOLDOVA, 2010
Bibliography
Examination Methods
Attending student: submitted and approved group assignment (report).
During the presentation of the results of the group work, students are allowed to consult and refer to a report in which they have described the assignment in detail, the legal issues they have identified, the way they approached those issues, and their solution/answer.
Type D and Type F activities
Documents and news
-
Regolamento didattico 2020/2021
(pdf, it, 470 KB, 12/04/21)
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | The course provides an introduction to blockchain technology. It focuses on the technology behind Bitcoin, Ethereum, Tendermint and Hotmoka. | D |
Nicola Fausto Spoto
(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 soon also via the Univr app.
Graduation
Deadlines and administrative fulfilments
For deadlines, administrative fulfilments and notices on graduation sessions, please refer to the Graduation Sessions - Science and Engineering service.
Need to activate a thesis internship
For thesis-related internships, it is not always necessary to activate an internship through the Internship Office. For further information, please consult the dedicated document, which can be found in the 'Documents' section of the Internships and work orientation - Science e Engineering service.
Final examination regulations
Upon completion of the Degree programme, students will need to submit and present their thesis/dissertation, which must be in English and focusing on a scientific topic covered during the programme. Alternatively, the thesis/dissertation may consist of the analysis and solution of a case study (theoretical and/or relevant to a real industrial context), experimental work, possibly developed as part of an internship, or original and independent research work that may include mathematical formalisation, computer design and a business-oriented approach.
These activities will be carried out under the guidance of a Thesis Supervisor at a University facility, or even outside the University of Verona, either in Italy or abroad, provided that they are recognised and accepted for this purpose in accordance with the teaching regulations of the Master's Degree programme in Data Science.
22 CFU credits shall be awarded for the final examination (assessment of the thesis/dissertation).
The Graduation Committee, which is in charge of the evaluation of the final examination (presentation of the dissertation in English) shall evaluate each candidate, based on their achievements throughout the entire degree programme, carefully assessing the degree of consistency between educational and professional objectives, as well as their ability for independent intellectual elaboration, critical thinking, communication skills and general cultural maturity, in relation to the objectives of the Master's Degree programme in Data Science, and in particular, in relation to the topics dealt with by the candidate in their thesis.
Students may take the final exam only after they have passed all the other modules and exams that are part of their individual study plan, and fulfil all the necessary administrative requirements, in accordance with the terms indicated in the General Study Manifesto.
The graduation exam and ceremony will be carried out by the Graduation Committee appointed by the Chair of the Teaching Committee and composed of a President and at least four other members chosen among the University's lecturers.
The thesis/dissertation will be assessed by the Dissertation Committee, which is composed of three lecturers possibly including the Thesis Supervisor, and appointed by the Chair of the Teaching Committee. The Dissertation Committee shall produce an evaluation of the dissertation, which will be submitted to the Graduation Committee, which will issue the final graduation mark. The Teaching Committee shall govern the procedures of the Dissertation Committee and the Graduation Committee, and any procedures relating to the score awarded for the final exam through specific regulations issued by the Teaching Committee.
Documents
| Title | Info File |
|---|---|
|
Regolamento esame finale | Final exam regulation
|
pdf, it, 387 KB, 27/04/22 |
List of theses and work experience proposals
| theses proposals | Research area |
|---|---|
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games |
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |
| Domain Adaptation | Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION |
| Domain Adaptation | Computing methodologies - Machine learning |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.
