Scheda insegnamento
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Docente Matilde Ratti
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Crediti formativi 6
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SSD IUS/01
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Modalità didattica Convenzionale - Lezioni in presenza
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Lingua di insegnamento Inglese
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Campus di Bologna
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Corso Laurea Magistrale in Statistical sciences (cod. 9222)
Valido anche per Laurea Magistrale in Legal studies (cod. 9062) -
Orario delle lezioni dal 19/09/2022 al 15/11/2022
SDGs
L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.



Anno Accademico 2022/2023
Conoscenze e abilità da conseguire
Al termine del corso lo studente - conosce in modo approfondito le principali questioni giuridiche relative alla gestione dei c.d. big data, sia in ottica comparata, che avendo riferimento alle soluzioni proposte a livello internazionale e sovranazionale; - è in grado di valutare il livello di tutela dei dati personali garantito da differenti ordinamenti giuridici nazionali, anche attraverso l’incidenza degli standard di tutela dei diritti fondamentali operanti a livello internazionale e sovranazionale e della “giurisprudenza” dei relativi organismi di monitoraggio.
Contenuti
Introduction to the Data Protection Legislation: Right to the Protection of Personal Data in the Big Data Era
Setting the Stage: General Definitions and Connected Issues
The Scope of the GDPR and the International Dimension of Big Data and Artificial Intelligence Market
General Principles and Legitimacy of the Processing: Open Issues and Current Challenges
Particular Categories of Data and Specific Application Matters
Information to the Data SubjectData Controller, Data Processor, Data Protection Officer and other Subjects of the Processing
Rights of the Data Subjects: from the Right to Access Information to the Right to Be Forgotten
Big Data, Artificial Intelligence and Enforceability Issues
Data Protection Impact Assessment, Data Breach and Records of Processing Activities
International Transfers of Personal Data: Rules and Public Enforcement
Personal Data and Connected Rights: Service Provider Liability
Privacy, Big Data and Challenges of the Artificial Intelligence Applications
Testi/Bibliografia
Teaching resources (case law, docs, etc.) will be available on "Virtuale" Platform (online Dashboard)
Metodi didattici
Traditional classes. Attendance to class is advised, but not compulsory and subject to the pandemic situation.
Modalità di verifica e valutazione dell'apprendimento
The assessment will be focused on the Student's knowledge as well as the ability to settle issues related to the course subjects.
The students’ knowledge is assessed through a discussion, to evaluate the actual achievement of the learning outcomes. The exam consists in an interview with the appointed commission on the topics included in the programme.
The assessment will take into account the knowledge of the relevant institutional framework, the ability to analyse doctrinal and jurisprudential opinions and, to single out connections between the relevant topics, to critical reasoning, as well as the clarity of presentation and critical thinking.
By way of example, the following criteria will be used to assess the final mark (that will be out of 30/30):
- sufficient or barely sufficient knowledge on the programme, limited reasoning ability, some difficulties in using technical and legal language → 18-21/30;
- fairly good knowledge of the programme, adequate critical reasoning ability, sound use of technical and legal language → 22-25/30;
- comprehensive knowledge of the programme, notable reasoning ability, good command of technical and legal language → 26-29/30;
- extensive knowledge of the programme, very good reasoning ability, and ability to fully master technical-legal language → 30-30L/30.
Strumenti a supporto della didattica
Case Law docs (Courts' rulings; Data Protection Authorities decisions etc.).
Students who need compensatory measures and/or dispensative tools due to disability or Specific Learning Disabilities (SLD) should communicate it to the Professor as soon as possible.
Orario di ricevimento
Consulta il sito web di Matilde Ratti