Listed in: Mathematics and Statistics, as MATH-272
Formerly listed as: MATH-21 | MATH-22 | MATH-25
Jamie L. Juul (Section 01)
Yusra F. Naqvi (Section 02)
The study of vector spaces over the real and complex numbers, introducing the concepts of subspace, linear independence, basis, and dimension; systems of linear equations and their solution by Gaussian elimination; matrix operations; linear transformations and their representations by matrices; eigenvalues and eigenvectors; and inner product spaces. Additional topics include ill-conditioned systems of equations, the LU decomposition, covariance matrices, least squares, and the singular value decomposition. Recommended for Economics majors who wish to learn linear algebra. Four class hours per week, with occasional in-class computer labs.
Requisite: MATH 121 or consent of the instructor. This course and MATH 271 may not both be taken for credit. Spring semester.
Section 01
M 09:00 AM - 09:50 AM CHAP 201
W 09:00 AM - 09:50 AM CHAP 201
F 09:00 AM - 09:50 AM CHAP 201
Section 02
M 01:00 PM - 01:50 PM SMUD 207
W 01:00 PM - 01:50 PM SMUD 207
F 01:00 PM - 01:50 PM SMUD 207
Section 01
Th 09:00 AM - 09:50 AM WEBS 102
Section 02
Tu 01:00 PM - 01:50 PM WEBS 102
This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.
| Section(s) | ISBN | Title | Publisher | Author(s) | Comment | Book Store | Price |
|---|---|---|---|---|---|---|---|
| All | Linear Algebra with Applications | Jones & Bartlett | Gareth William | Amherst Books | TBD |
These books are available locally at Amherst Books.