|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: 75% - 89%
|SECTION 01 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): Chang,Yu-Chan Times: .M.W.F. 08:50AM-09:40AM; Location: TBA|
|Total Enrollment Limit: 30||SR major: 0||JR major: 0|| || |
|Seats Available: 30||GRAD: X||SR non-major: 1||JR non-major: 1||SO: 13||FR: 15|
|Drop/Add Enrollment Requests|
|Total Submitted Requests: 0||1st Ranked: 0||2nd Ranked: 0||3rd Ranked: 0||4th Ranked: 0||Unranked: 0|