|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.
||Gen Ed Area Dept:
|Course Format: Lecture||Grading Mode: Graded|
||Fulfills a Major Requirement for: (ASTR)(CADS)(COMP)(DATA-MN)(MATH)(MB&B)(NS&B)(PHYS-MN)(PHYS)
||Past Enrollment Probability: 50% - 74%
|SECTION 02 In-person only|
|Major Readings: Wesleyan RJ Julia Bookstore
|Examinations and Assignments: |
|Additional Requirements and/or Comments: |
Students may not get credit for more than one of MATH221 and MATH223.
|Instructor(s): Pollack,David Times: ..T.R.. 01:20PM-02:40PM; Location: SCIE139; |
|Total Enrollment Limit: 35||SR major: 0||JR major: 0|| || |
|Seats Available: 1||GRAD: X||SR non-major: 0||JR non-major: 2||SO: 16||FR: 17|
|Drop/Add Enrollment Requests|
|Total Submitted Requests: 6||1st Ranked: 1||2nd Ranked: 0||3rd Ranked: 2||4th Ranked: 0||Unranked: 3|