MATH 2311 - Linear Algebra II

Credit(s): 3
Lecture Hour(s): 3
Lecture Hours Schedule Type: Blended, Lecture, Online
Tutorial Hour(s): 1

This course is an introduction to abstract vector spaces and subspaces. Projections and best approximations are studied with the help of the Gram-Schmidt algorithm. Other topics that are studied are population dynamics, Fourier analysis, and eigenvalues and eigenvectors.

Prerequisite(s): MATH 1203 with a grade of C- or higher.
General Science Option