|Certificates: Applied Data Science|
|Course Cluster: Data Analysis Minor|
An alternative to MATH221, this course will cover vector spaces, inner-product spaces, dimension theory, linear transformations and matrices, determinants, eigenvalues and eigenvectors, Hermitian and unitary transformations, and elementary spectral theory. It will present applications to analytic geometry, quadratic forms, and differential equations as time permits. The approach here is more abstract than that in MATH221, though many topics appear in both.
||Gen Ed Area Dept:
|Course Format: Lecture||Grading Mode: Graded|
||Fulfills a Major Requirement for: (CIS)(COMP)(DATA-MN)(MATH)(MB&B)(NS&B)
||Past Enrollment Probability: 90% or above
|Major Readings: Wesleyan RJ Julia Bookstore
|Additional Requirements and/or Comments: |
MATH223, Linear Algebra, is a deeper, more conceptual and somewhat more extensive study of linear algebra, offered as an alternative to MATH221, Vectors and Matrices. Students may not get credit for more than one of MATH221 and MATH223. MATH121 and MATH122 is strongly recommended as background, but not required.
|Instructor(s): Pollack,David Times: ..T.R.. 01:20PM-02:40PM; Location: TBA|
|Total Enrollment Limit: 35||SR major: 0||JR major: 0|| || |
|Seats Available: 35||GRAD: X||SR non-major: 0||JR non-major: 0||SO: 13||FR: 22|