The course is structured into ten modules covering key areas of linear algebra, including methods for solving and applying systems of linear equations, matrix transformations, and advanced topics like Eigenvalues, QR Factorization, and Principal Component Analysis (PCA). Each module builds on foundational concepts and explores both theoretical and practical applications. This comprehensive course is essential for mastering linear algebra and its real-world applications.