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Unit of study_
CSEC5614: Data Privacy: Theory and Practice
2025 unit information
With unprecedented ability and opportunities to collect personal data or information, privacy has become an essential aspect of cybersecurity. Many industries have experienced intentional and unintentional privacy breaches in the last few years. As such, the general public is also becoming aware of the value of protecting their digital privacy, while regulatory authorities are introducing new privacy regulations and guidelines. This unit provides theoretical, design and practical skills that are required to design and deploy privacy preserving technologies to protect user privacy in collection, computation and management of data. Emphasis is placed on practical implications of privacy preserving technologies with examples and perspectives from industry.
Unit details and rules
Managing faculty or University school:
Engineering
| Study level | Postgraduate |
|---|---|
| Academic unit | Computer Science |
| Credit points | 6 |
|
Prerequisites:
?
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None |
|---|---|
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Corequisites:
?
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None |
| Prohibitions:
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OCSE5614 |
| Assumed knowledge:
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CSEC5616 or OCSE5616 or ELEC5616 or INFO3616 or INFO2222 |
At the completion of this unit, you should be able to:
- LO1. Understand the fundamental concepts and principles of data privacy, including the importance of privacy in the digital age, anonymization, K-Anonymity and the legal and ethical implications of data privacy violations.
- LO2. Identify the key legislation and regulations related to data privacy, such as the General Data Protection Regulation (GDPR) and analyze their impact on organizations and individuals.
- LO3. Evaluate the risks and threats to data privacy, including data breaches, unauthorized access, and data profiling, and develop strategies to mitigate these risks.
- LO4. Apply privacy-by-design principles to the development of systems, products, and services to ensure privacy is considered from the outset.
- LO5. Assess the impact of emerging technologies, such as artificial intelligence and Internet of Things (IoT) on data privacy and explore the associated challenges and potential solutions.
- LO6. Analyze the role of data protection frameworks, privacy impact assessments, and privacy policies in safeguarding individuals' privacy rights and organizational compliance.
- LO7. Examine the concepts of data anonymization, de-identification, and pseudonymization, and understand their limitations and effectiveness in protecting individuals' privacy.
- LO8. Explore the role of data governance and data stewardship in ensuring privacy and compliance within organizations, including data classification, data retention, and data sharing practices.
- LO9. Critically analyze case studies and real-world scenarios to apply data privacy principles and frameworks, develop risk assessment and mitigation strategies, and make informed decisions in complex privacy-related situations.
- LO10. Explore the data privacy with Differential privacy concepts, measurement of information, entropy and discussion on the use cases.
- LO11. Exploring various industrial and practical considerations for the privacy with uses cases including: Google, Facebook, twitter, IBM, Microsoft, and Apple etc.
- LO12. Exploring privacy implementation in network streams like IoTs and 5G networks etc. by considering various use cases.
Unit availability
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The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 2 2025
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Normal evening | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
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