Course Number
625.252
Next Offered
Spring 2022
Primary Program
Applied and Computational Mathematics
Location
Online
Mode of Study
Online, Virtual Live

This course is a study of linear systems of equations, vector spaces, and linear transformations in the context of applications including basic data fitting, polynomial interpolation and network flow. The following topics and their basic applications are covered: Gaussian elimination, matrix algebra, determinants, eigenvalues and eigenvectors, diagonalization, linear independence, basis and dimension of vector spaces, orthogonality, Gram-Schmidt process and least-squares method. No software is required. Note for those planning to also take EN.625.609 Matrix Theory: EN.625.252 covers a broad range of topics in linear algebra and its applications at an introductory level, while EN.625.609 focuses in depth on the fundamental theoretical properties of matrices and the consequent significant applications. EN.625.252 introduces basic proof writing techniques, theoretical background and knowledge of applications that will be useful for EN.625.609. Prerequisite(s): EN.625.108 Calculus I. Course Note(s): Not for Graduate Credit

Course Offering(s)

Open

Linear Algebra and Its Applications

625.252.81
01/24/2022 - 05/10/2022
Semester
Spring 2022
Mode of Study
Online
Location
Online
Cost
$1,285
Textbook
TBD
Open

Linear Algebra and Its Applications

625.252.82
01/24/2022 - 05/10/2022
Semester
Spring 2022
Mode of Study
Online
Location
Online
Cost
$1,285
Textbook
TBD