Linear Algebra is a field that deals with vectors, matrices, and spaces. Linear algebra may be one of the most applicable and foundational fields in mathematics. Besides being used to formalize a variety of fundamental ideas in mathematics, linear algebra is connected to a variety of computer applications, from computer graphics to network algorithms. In fact, the basic ideas used in modern search engines like Google are rooted in linear algebra.
Students learn the theory and practice of matrices and determinants and their use in solving linear equations. They study the structure and properties of linear transformations, vector spaces, and linear programming as they apply to such fields as biology, chemistry, differential equations, economics, psychology, and weather forecasting.
Unit 1: Vectors
Unit 2: Matrices
Unit 3: Lines and Planes
Unit 4: Systems of Linear Equations
Unit 5: Vector Spaces and Groups
Unit 6: Subspaces
Unit 7: Change of Basis
Unit 8: Linear Transformations
Unit 9: Eigenvalues and Eigenvectors
Unit 10: Least Squares