Fall 2022 Course Descriptions
CS 151-02 Privacy, Security, and Data
MW 6:00p-7:15p, Joyce Cummings Center 260
Organizations today collect and analyze massive amounts of information for important decision-making applications. However, these large-scale analytics often compromise sensitive user information, such as medical or financial records. In this course, we will survey and apply state of the art techniques in privacy-preserving data science, such as differential privacy and secure multi-party computation, to learn how to build systems that provide useful results while still respecting user privacy. Students will be expected to read research papers, give in-class presentations, and complete a final project utilizing real-world data.
Prerequisite: CS 115-level knowledge; some experience with Python, C++, and basic probability.