Winter 2021
Meeting:
MWF 8:30am - 9:20am / * *
SLN:
21967
Section Type:
Lecture
Instructor:
OFFERED VIA REMOTE LEARNING
PREREQ: A MINIMUM GRADE OF 3.0 IN
MATH 308. NO EXCEPTIONS.
STUDENTS INTERESTED IN COURSE
SHOULD TAKE THIS DIAGNOSTIC
HTTPS://TINYURL.COM/YY4G75SR
Catalog Description:
Eigenvalues, eigenvectors, and diagonalization of matrices: nonnegative, symmetric, and positive semidefinite matrices. Orthogonality, singular value decomposition, complex matrices, infinite dimensional vector spaces, and vector spaces over finite fields. Applications to spectral graph theory, rankings, error correcting codes, linear regression, Fourier transforms, principal component analysis, and solving univariate polynomial equations. Prerequisite: a minimum grade of 2.7 in either MATH 208 or MATH 308, or a minimum grade of 2.0 in MATH 136.
Credits:
3.0
Status:
Active
Last updated:
November 11, 2024 - 12:22 am