Data Analytics and Privacy

2018-2019

Course Objective

Data Analytics and Privacy focuses on the role of fundamental rights and
legal principles in the regulation of business analytics and data
science, with a general focus on the right to privacy. The student will
learn and understand the ethical and legal aspects of business analytics
and data science. The student will be able to analyze the role of
fundamental rights and legal principles in the regulation of these
issues. The student will be able to deal with the similarities and
differences between legal admissibility and ethical acceptability when
working with large datasets and the application of the outcomes of the
analysis.

Course Content

In the field of business analytics and data science the opportunities
seem endless. Perfect enforcement of norms, excellent personally
targetted advises and advertments. Outcomes of data analytics can even
preceed 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. This course obviously is not about the possibilities, but about
the limits we as a society want to put on those possibillities. The
legal and ethical standards for this area have not yet been
crystallized, but in general fundamental rights and ethical principles
are well known. This course also explores the boundaries between legal
admissibility and ethical responsibility.

Teaching Methods

Lectures, tutorials, peer review.

Method of Assessment

Paper, presentation.

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: