MATH 221
Spring 2021
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01
02
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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: Student Option |
Level: UGRD |
Prerequisites: MATH122 |
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Fulfills a Requirement for: (ASTR)(CADS)(COMP)(DATA-MN)(MATH)(MB&B)(NS&B)(PHYS-MN)(PHYS) |
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Past Enrollment Probability: 75% - 89% |
SECTION 01 |
Instructor(s): Chan,Wai Kiu Times: ..T.R.. 01:00PM-02:20PM; Location: ONLINE; |
Total Enrollment Limit: 38 | | SR major: 0 | JR major: 0 |   |   |
Seats Available: 9 | GRAD: X | SR non-major: 0 | JR non-major: 2 | SO: 18 | FR: 18 |
Drop/Add Enrollment Requests | | | | | |
Total Submitted Requests: 1 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 1 |
SECTION 02 |
Instructor(s): Rao,Anurag Times: ..T.R.. 11:10AM-12:30PM; Location: ONLINE; |
Total Enrollment Limit: 38 | | SR major: 0 | JR major: 0 |   |   |
Seats Available: 10 | GRAD: X | SR non-major: 0 | JR non-major: 2 | SO: 18 | FR: 18 |
Drop/Add Enrollment Requests | | | | | |
Total Submitted Requests: 2 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 2 |
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