Privacy: Big Data, Quantified Self and Social Networks
- mr. drs. Bart van der Sloot
This course is taught at the level of second-year students
After completing this course, the student is able to
- understand the relevance of the topic of privacy for the different academic disciplines discussed,
- apply the insights independently to current privacy problems,
- analyze (potential) privacy risks and to formulate solutions to alleviate those risks,
- formulate those solutions by integrating the insights of the different disciplines.
In seven lectures, state of the art technologies and developments that can affect privacy are discussed by top scientists from various faculties of the University of Amsterdam.
Class 1: Big Data from a technical and economic perspective, by Sander Klous
Class 2: Big Data from a juridical and philosophical perspective, by Bart van der Sloot & Marijn Sax
Class 3: Quantified Self Movement, by Marjolein Lanzing
Class 4: Smart cities & living labs, by Linnet Taylor
Class 5: Social networks and the culture of connectivity, by José van Dijck
Class 6: The internet and anonymity, by Geert Lovink & Daniël de Zeeuw
Vlass 7: Google Glass & interactive debate, by Simon Davies & *TBA*
Minor Privacy Studies
Basic course Privacy Studies 1 is part of the Minor Privacy Studies which offers students an opportunity to engage in this interdisciplinary field and will provide them with, among others, ethical, legal, economical, technical and medical approaches to privacy. The courses are open to students from all academic backgrounds and Faculties and the minor aims at attracting a diverse student population. More information about the minor here.
UvA-students can register themself from Thursday 16 June 2016 (look for code 5512PBDQ6Y in SIS) until a week before the start of the course. If you have any trouble while registering please contact: email@example.com
Other parties, such as contract students or students from other institutions, interested can register from 1 June 2016 through the registration form.
Information about the costs of the course can be found here.
For the most up-to-date timetable visit: https://datanose.nl/#course
Study materials will be made available on Blackboard.
Two written exams.
For more information about this course or the minor privacy, please contact us through: firstname.lastname@example.org.
- Conditions for admission
- 6 ECTS, 8 weeks
- Language of instruction
- Starts in