STAT 188 - Variations, Information and Privacy Learning Course

[STAT 188 - Variations, Information and Privacy Learning Course] STAT 188 - Variations, Information and Privacy STAT 188 explores variations in data, information theory, and privacy considerations in statistical analysis and data science. The course covers topics such as measures of information (entropy, mutual information), data compression, and privacy-preserving techniques (differential privacy, secure multiparty computation). Emphasis is placed on understanding how information theory concepts can be applied to quantify uncertainty in data, optimize data storage and transmission, and protect sensitive information in statistical analysis and machine learning. Through theoretical principles and practical applications, students learn how to assess information content, balance utility and privacy concerns, and apply cryptographic methods to ensure data security in diverse applications such as healthcare, finance, and cybersecurity.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.