[Pre_Learning] Privacy-Preserving Data Analysis
About Course
This course explores methods for analyzing data while preserving privacy, focusing on techniques such as differential privacy, secure multi-party computation, and homomorphic encryption.
Students will examine case studies and apply these methods to real-world scenarios, learning how to balance the need for data utility with the requirement to protect individual privacy.
The course prepares students to implement privacy-preserving data analysis techniques in various domains, including healthcare, finance, and social networks.
Course Content
Topic 1: Introduction to Privacy-Preserving Data Analysis
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LO1: Define the key concepts and importance of privacy-preserving data analysis in data science.
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LO2: Explain different privacy-preserving techniques used to protect sensitive information.
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LO3: Describe the role of privacy-preserving methods in healthcare, finance, and social networks.
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Multiple Choice Questions
