Processing of sensitive data

A.Y. 2019/2020
Overall hours
Learning objectives
The objective of the course is to provide a basic legal knowledge on the processing of sensitive data, illustrating, in particular, the main applicable legal norms on the topic, company policies and contractual drafts so to provide a theoretical and practical approach.
Expected learning outcomes
At the end of the course, the student will be able to identify and analyse the main legal framework regulating data protection and trade secrets, from both an Italian and EU perspective. The student will have also acquired the main basic notions referred to the world of new technologies.
Course syllabus and organization

Single session

Lesson period
First semester
Course syllabus
The main objective of the course is to provide basic legal instruments to the expert of information technology security who will need, in relation to the performance of his profession, to treat sensitive data. The course will focus on the processing of sensitive data in its wider variations. During the lectures, students will be made available of lecture notes bearing the main applicable regulations, draft of agreements releted to critical services and corporate policies regarding the use of IT tools.
The course will be held only on Friday to allow the presence also working students.
It's recommended to attend the course's lesson in order to pass the final exam.
Prerequisites for admission
Teaching methods
Frontal lessons, seminar
Teaching Resources
Franco Pizzetti, Privacy e il diritto europeo alla protezione dei dati personali. Il Regolamento europeo 2016/679. Vol. 2, Giappichelli, 2016

Trattamento di dati e tecnologie esponenziali: Società delle tecnologie esponenziali e general data protection regulation: la circolazione internazionale dei dati personali, a cura di Simone Bonavita, Horisma, Ledizioni, 2019 (2 paper as choice).
Assessment methods and Criteria
Oral exam for non-attending students.
Written exam for attending students.
IUS/01 - PRIVATE LAW - University credits: 6
Lessons: 48 hours
Professor: Bonavita Simone
To be agreed