The teaching and learning of linear algebra have evolved significantly over recent decades, underpinned by diverse approaches ranging from theoretical expositions to dynamic, model-based environments.

Prerequisite: Credit for or concurrent enrollment in MATH 2414. Course Description: Solutions of systems of linear equations, matrices, vector spaces, linear transformations, similarity eigenvalues ...

Vector spaces, linear transformation, matrix representation, inner product spaces, isometries, least squares, generalised inverse, eigen theory, quadratic forms, norms, numerical methods. The fourth ...

"description": "Linear algebra is the foundational mathematical subject that everyone needs to know today. Get lost, calculus! Conventional presentations of linear algebra in undergraduate STEM ...