This course introduces the basic principles and fundamentals of linear algebra and helps students develop logical, creative, and critical-thinking and problem-solving skills for various mathematical problems in computer science and machine learning, computer graphic design, physics, mechanics, engineering, economics, ecology, and other natural sciences. Students will learn about systems of linear equations, matrices and matrix operations, linear and matrix transformations, determinants, vector spaces and subspaces, coordinates, dimensions, and eigenvalues and eigenvectors. Pre-requisite: Mathematics 30-1 or 30-2Note: Restricted to Arts & Sciences, Machine Learning Analyst, Open Studies, Therapeutic Recreation diploma