MATH 221
Spring 2022
| Section:
01
02
|
| Course Cluster and Certificates: Applied Data Science Certificate |
This is a course in the algebra of matrices and Euclidean spaces that emphasize the concrete and geometric. Topics to be developed include solving systems of linear equations; matrix addition, scalar multiplication, and multiplication; properties of invertible matrices; determinants; elements of the theory of abstract finite dimensional real vector spaces; dimension of vector spaces; and the rank of a matrix. These ideas are used to develop basic ideas of Euclidean geometry and to illustrate the behavior of linear systems. We conclude with a discussion of eigenvalues and the diagonalization of matrices. |
|
| Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
| Course Format: Lecture | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: MATH122 |
|
Fulfills a Requirement for: (ASTR)(CADS)(COMP)(DATA-MN)(MATH)(MB&B)(NS&B)(PHYS-MN)(PHYS) |
|
Past Enrollment Probability: 75% - 89% |
| SECTION 01 |
| Instructor(s): Chan,Wai Kiu Times: ..T.R.. 01:20PM-02:40PM; Location: SCIE137; |
| Total Enrollment Limit: 35 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 3 | GRAD: X | SR non-major: 1 | JR non-major: 1 | SO: 15 | FR: 18 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 5 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 5 |
| SECTION 02 |
| Instructor(s): Chiloyan,Garen Times: ..T.R.. 10:20AM-11:40AM; Location: SCIE141; |
| Total Enrollment Limit: 35 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 19 | GRAD: X | SR non-major: 1 | JR non-major: 1 | SO: 15 | FR: 18 |
| Drop/Add Enrollment Requests | | | | | |
| Total Submitted Requests: 6 | 1st Ranked: 1 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 5 |
|