First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
Course unit
SCP7079399, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course Second cycle degree in
SC2377, Degree course structure A.Y. 2017/18, A.Y. 2019/20
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination LAW AND DATA
Website of the academic structure
Department of reference Department of Mathematics
Mandatory attendance No
Language of instruction English
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge ANDREA PIN IUS/21

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines IUS/17 Criminal Law 6.0

Course unit organization
Period First semester
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 6.0 48 102.0 No turn

Start of activities 30/09/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2017 course timetable

Examination board
Examination board not defined

Prerequisites: No prerequisites
Target skills and knowledge: The course will enable students to understand the legal components and to predict the legal consequences of A.I.-based activities. Students will reflect on the most controversial and contemporary issues of A.I.
Examination methods: Written Exam
Assessment criteria: The students will be graded according to their level of theoretical and practical knowledge of the fields covered throughout the court, as well as according to their capacity to critically reflect on the most contentious legal issues of A.I.
Course unit contents: - the concept of data; personal, sentitive and economic data; big data

- the concepts of identity and digital identity

- property of data, choices in the management of data

- supranational, international and national laws on data processing

- civil and criminal protection of privacy

- new contents and concepts of privacy: big data, cell phones; videos; wearable technologies, etc.

- the right to be forgotten

- social network, right to be forgotten, responsibility

- provider's criminal responsibility

- civil and criminal aspects of profiling activity

- automatic data processing, human responsabilities

- big data (collection, analysis, processing) and their influence on fundamental rights

- the issue of genetic data

- big data and economy

- phishing

- financial crimes and artificial intelligence
Planned learning activities and teaching methods: Classes
Preassigned readings.
Additional notes about suggested reading: Notes will be provided by the teacher

Useful materials can be found at this website:
Textbooks (and optional supplementary readings)