2025-2026 First Sem
Google Classroom: https://classroom.google.com/c/Nzk4NzYyNjQ4NzQy?cjc=f6pl26p7 Course Outline: Review of Matrix Theory Multivariate Distributions Inference for the Multivariate Normal Distribution Principal Component Analysis Canonical Correlation Analysis Discriminant Analysis Factor Analysis Cluster Analysis Other Multivariate Techniques Grading System: 20% Prelim exam 30% Final exam 30% Class Activities 20% Report References: Applied Multivariate Statistical Analysis (2007) by Johnson and Wichern Multivariate Data Analysis (2009) by Hair, et al. Linear Models in Statistics (2008) by Rencher and Schaalje August 23 Discussion Course Outline Review of Matrix Operations Seatwork No. 1 August 26 Discussion Review of Matrix Operations Seatwork No. 2 August 28 Discussion Assignment No. 1 submitted (Method of Adjoints) Finding eigenvalues and eigenvectors August 30 Prep for Foundation Data September 2 Rest Day September 4 Review on finding eigenvalues and eigenvectors Findi...