Linear Algebra

Credits: .5

This course builds on the concepts of three-dimensional space developed in Multivariable Calculus and extends discussions of mathematical spaces to include arbitrary dimensions. Topics covered in the course will include systems of linear equations and how to solve them, the method of Gaussian elimination, matrices and linear mappings, determinants and their properties, eigenvectors and eigenvalues, and the diagonalization of matrices. The course will incorporate computer algebra systems and will seek to strike a balance between linear algebra’s abstract structures and justifications and the rich collection of applications to science and engineering problems that the subject affords.


Prerequisites: Multivariable Calculus or SNHU dual-enrollment math course; with departmental approval.