STAT 217 - Topics in high-dimensional statistics: methods from statistical physics Learning Course

[STAT 217 - Topics in high-dimensional statistics: methods from statistical physics Learning Course] STAT 217 - Topics in high-dimensional statistics: methods from statistical physics STAT 217 explores advanced methods from statistical physics applied to high-dimensional statistical problems. The course covers topics such as phase transitions, spin glasses, random matrices, and applications to high-dimensional data analysis. Emphasis is placed on understanding the theoretical foundations of statistical physics methods, their relevance to modern statistical challenges, and their application to real-world datasets. Through theoretical principles and computational exercises, students learn how to analyze large-scale datasets, model complex interactions, and derive insights from high-dimensional statistical structures. STAT 217 prepares students for research in theoretical statistics, computational physics, and interdisciplinary studies involving complex systems and big data analysis.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.