Linear Algebra
MATH 223
Spring 2020
 Section:
01

Certificates: Applied Data Science 
Course Cluster: Data Analysis Minor 
An alternative to MATH221, this course will cover vector spaces, innerproduct 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. 
Credit: 1 
Gen Ed Area Dept:
NSM MATH 
Course Format: Lecture  Grading Mode: Graded 
Level: UGRD 
Prerequisites: None 

Fulfills a Major Requirement for: (CADS)(CIS)(COMP)(DATAMN)(MATH)(MB&B)(NS&B) 

Past Enrollment Probability: 90% or above 
SECTION 01 
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): Rasmussen,Christopher Times: ..T.R.. 10:20AM11:40AM; Location: TBA 
Total Enrollment Limit: 30   SR major: 0  JR major: 0   
Seats Available: 30  GRAD: X  SR nonmajor: 0  JR nonmajor: 0  SO: 13  FR: 22 

