MATH 221
Spring 2020
| Section:
01
02
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| Certificates: Applied Data Science, Data Analysis Minor |
| Course Cluster: 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. |
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| Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
| Course Format: Lecture | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: MATH122 |
|
Fulfills a Requirement for: None |
| SECTION 01 |
| Instructor(s): Pollack,David Times: ..T.R.. 02:50PM-04:10PM; Location: SCIE109; |
| Total Enrollment Limit: 39 | | SR major: 0 | JR major: 0 | | |
| | GRAD: X | SR non-major: 0 | JR non-major: 0 | SO: 15 | FR: 24 |
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