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Main
UQU Programs
Data Science

Data Security and Privacy

SEC3011
3 hours English

Data Security and Privacy

Data Security and Privacy
DS1102 Introduction to Data Science
3 hours No requisites
1 Introduction to Security: / Maintaining Data Confidentiality, Integrity and Availability / Security Priciples (Security by design, Fail safe, Least privilege, Separation of duties, Open design, Economy of mechanism, Psychological acceptability, … ) / Cyber Risks, Threats and Vulnerabilities
2 Data Security Controls: Authentication, Access Control, and Cryptography (Control Access, Authentication, Authorization and Non-Repudiation)
3 Data Governance and Simple Privacy Approaches
4 Data Anonymization Techniuques
5 Building Privacy into Data Pipelines
6 Privacy Attacks and Data Security Mitigations
7 Privacy-Aware Machine Learning and Data Science
8 Navigating the Legal Side of Privacy
9 Managing Privacy and Security Risk
1.1 Mapped to: K1

Define core security principles and their application.

Teaching Strategy Lectures and case studies
Assessment Methods Quizzes, Exams and Assignments
1.2 Mapped to: K1

Recognize the data science lifecycle and integration of security measures.

Teaching Strategy Lectures and case studies
Assessment Methods Quizzes, Exams and Assignments
1.3 Mapped to: K1

Recognize legal requirements for data privacy and security.

Teaching Strategy Lectures and case studies
Assessment Methods Quizzes, Exams and Assignments
2.1 Mapped to: S3

Analyze risks and vulnerabilities on data privacy and security.

Teaching Strategy Case studies and Group Project
Assessment Methods Assignments and Project
2.2 Mapped to: S1

Apply data anonymization techniques effectively.

Teaching Strategy Case studies and Group Project
Assessment Methods Assignments and Project
3.1 Mapped to: V3

Promote ethical data handling and privacy awareness.

Teaching Strategy Case studies and Group Project
Assessment Methods Project
Assessment
Weight
Quizzes
10%
Assignments
15%
Midterm Exam
20%
Project
15%
Final Exam
40%
Total
100%