This module aims to familiarise students with general concepts about privacy, privacy issues in selected application contexts of privacy enhancing technologies (e.g., Internet and web, mobile computing, online social networks, IoT), selected privacy enhancing technologies including data anonymisation (e.g., k-anonymity and differential privacy), anonymous communication (e.g., Tor), web and mobile privacy tools, and socio-technical related topics aspects of privacy (e.g., privacy behaviours, privacy policies, usability, and relevant legal issues).
Total contact hours: 30
Private study hours: 120
Total study hours: 150
Method of assessment
Main assessment methods
2 hour written exam (50%)
Two coursework assessments (25% each)
Carmela Troncoso (2019) Privacy & Online Rights Knowledge Area, Issue 1.0, https://www.cybok.org/media/downloads/Privacy__Online_Rights_issue_1.0_FNULPeI.pdf
The Royal Society (2019) Privacy Enhancing Technologies, report, https://royalsociety.org/topics-policy/projects/privacy-enhancing-technologies/
1 Demonstrate a systematic understanding of the underpinning key concepts about privacy.
2 Critically identify, evaluate and illustrate privacy issues in a wide range of real world application contexts.
3 Select and apply relevant privacy enhancing technologies and tools to solve real world privacy problems.
4 Critically evaluate the performance of privacy solutions in the context of real world applications.
5 Demonstrate a systematic understanding of important socio-technical aspects of privacy.
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Credit level 7. Undergraduate or postgraduate masters level module.
- ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
- The named convenor is the convenor for the current academic session.
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