Data Analytics and Privacy

2019-2020

Course Objective

Data Analytics and Privacy focuses on the role of European fundamental
rights and
legal principles in the regulation of data analytics, with a general
focus
on the right to privacy and data protection. After this course:
1. Students will know and understand the history, background and ratio
of privacy laws,
their current state and the most important limits they impose on the
deployment of
data analytics.
2. Students will know a number of data analytics technologies (eg
profiling, facial
recognition), the opportunities they offer and be able to apply the law
to them.
3. The students will know and understand the relevance of the most
important case law
from the European Court of Human Rights and the Court of Justice of the
European Union.
4. Students will be able to critically assess the law and its
shortcomings.

Course Content

In the field of data analytics and data science the opportunities seem
endless.
Automatic enforcement of norms, predictive medicine and AI-operated
digital
assistants are but a few examples of what has become possible.
Outcomes of data analytics can even precede what's on a man's mind: the
cab
arrives at the moment you did not even know yet you needed it, the
packages are
already posted before you ordered them, or the criminal behavior is
predicted before
it takes place. The focus of this course is not on the possibilities,
but about
the limits we as a society want to put on those possibilities. Standards
in
fundamental rights are well known, yet not carved in stone. Through the
study of
literature, law and case law students will develop a critical view on
the role of
law in regulating data analytics, the limits it imposes, its'
shortcomings and an
understanding on the way these new technologies affect power relations
between
citizens and entities which deploy data analytics.

Teaching Methods

Lectures, tutorials.

Method of Assessment

Exam

Literature

Made available via Canvas.

Target Audience

Apart from regular students, the course is also available for:
Students from other universities/faculties
Contractor (students who pay for one course).

General Information

Course Code R_DAP
Credits 6 EC
Period P2
Course Level 300
Language of Tuition English
Faculty Faculty of Law
Course Coordinator mr. T.H.A. Wisman
Examiner mr. T.H.A. Wisman
Teaching Staff prof. mr. A.R. Lodder

Practical Information

You need to register for this course yourself

Teaching Methods Lecture, Study Group, Tutorial
Target audiences

This course is also available as: