Linear Algebra
MATH 223
Fall 2019
| Section:
01
|
| Certificates: Applied Data Science, Data Analysis Minor |
| Course Cluster: Applied Data Science Certificate |
An alternative to MATH221, this course will cover vector spaces, inner-product spaces, dimension theory, linear transformations and matrices, determinants, eigenvalues and eigenvectors, Hermitian and unitary transformations, and elementary spectral theory. It will present applications to analytic geometry, quadratic forms, and differential equations as time permits. The approach here is more abstract than that in MATH221, though many topics appear in both. |
|
| Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
| Course Format: Lecture | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: MATH122 |
|
Fulfills a Requirement for: (CADS)(COMP)(DATA-MN)(MATH)(MB&B)(NS&B)(PHYS-MN)(PHYS) |
|
Past Enrollment Probability: 90% or above |
| SECTION 01 |
Major Readings: Wesleyan RJ Julia Bookstore
TBA
|
Examinations and Assignments:
TBA |
Additional Requirements and/or Comments:
MATH223, Linear Algebra, is a deeper, more conceptual and somewhat more extensive study of linear algebra, offered as an alternative to MATH221, Vectors and Matrices. |
| Instructor(s): Chan,Wai Kiu Times: .M.W... 01:20PM-02:40PM; Location: SCIE139; |
| Total Enrollment Limit: 30 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 9 | GRAD: X | SR non-major: 1 | JR non-major: 1 | SO: 12 | FR: 16 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 5 | 1st Ranked: 2 | 2nd Ranked: 1 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 2 |
|
|