Linear Algebra
This course introduces students to the fundamental concepts of linear algebra balancing computational skills, geometric intuition, and theoretical understanding. Students will explore systems of linear equations, matrices, vector spaces, linear transformations, eigenvalues and eigenvectors, determinants, orthogonality, spectral theory of self- adjoint maps, and quadratic forms. Applications to data fitting, dynamical systems, singular value decomposition (SVD), and differential equations highlight the relevance of linear algebra in mathematics, physics, computer science, and engineering. Fall, Spring, and Summer Terms Mutually Exclusive: ENM 2030, ENM 2400, ESE 2030 Prerequisite: Students must take (MATH 1410 or MATH 1080) or have a placement score of 24+ before taking MATH 2200 1 Course Unit
Sources
- Course catalogue โ2026โ2027