First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
DATA SCIENCE
Course unit
LAW AND DATA
SCP7079399, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course Second cycle degree in
DATA SCIENCE
SC2377, Degree course structure A.Y. 2017/18, A.Y. 2018/19
N0
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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 http://datascience.scienze.unipd.it/2018/laurea_magistrale
Department of reference Department of Mathematics
Mandatory attendance No
Language of instruction English
Branch PADOVA
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

Lecturers
Teacher in charge SILVIA SIGNORATO IUS/16
Other lecturers 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
Hours of
Individual study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 01/10/2018
End of activities 18/01/2019

Examination board
Examination board not defined

Syllabus
Prerequisites: No prerequisites
Examination methods: Oral Exam
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, responsability

- provider's criminal responsability

- 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
Additional notes about suggested reading: Notes will be provided by the teacher
Textbooks (and optional supplementary readings)