Faculty of Technical Sciences

Subject: Mathematical foundations of privacy (17.0M550)

General information:
 
Category Professional-applicative
Scientific or art field Teorijska i primenjena matematika
ECTS 6

Acquiring knowledge in mathematical concepts of privacy. Practical work with tools. Student involvement in scientific research.

Knowledge about mathematical foundations of privacy management with applications in engineering. Participating in research in the particular aspect of the subject area, based on student`s interests and in cooperation with researchers from the region and abroad.

Various definitions of data privacy. Techniques for achieving privacy. Limitations on privacy in various settings. Privacy issues in specific settings.

The presentation of the theoretical part during the lectures is followed by the characteristic examples which contribute to better understanding of the subject matter. The students are expected to study in groups and individually the additional literature which they discuss with the course lecturer at the consultation classes.

Authors Title Year Publisher Language
Cynthia Dwork Differential Privacy 2006 English
Svetlana Jakšić, Jovanka Pantović and Silvia Ghilezan Linked Data Privacy 2017 Cambridge University Press English
Helen Nissenbaum Privacy in Context 2010 Stanford English
Course activity Pre-examination Obligations Number of points
Exercise attendance Yes Yes 2.00
Term paper Yes Yes 45.00
Lecture attendance Yes Yes 3.00
Theoretical part of the exam No Yes 50.00
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Prof. Gilezan Silvia

Full Professor

Lectures

Asistent sa doktoratom dr Prokić Simona

Assistant with PhD

Practical classes

Asistent sa doktoratom dr Prokić Simona

Assistant with PhD

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.