Vectors and Matrices
MATH 221
Fall 2018
| Section:
01
02
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| Certificates: Applied Data Science |
| Course Cluster: Data Analysis Minor |
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 |
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Fulfills a Major Requirement for: (ASTR)(CADS)(COMP)(DATA-MN)(MATH)(MB&B)(NS&B)(PHYS-MN)(PHYS) |
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Past Enrollment Probability: 75% - 89% |
| SECTION 01 In-person only |
| Major Readings: Wesleyan RJ Julia Bookstore
| Additional Requirements and/or Comments:
MATH122 or AP Calculus BC with a score of 4 or 5 strongly recommended as background, but not required. Students may not get credit for more than one of MATH221 and MATH223. |
| Instructor(s): Hill,Cameron Donnay Times: ..T.R.. 10:20AM-11:40AM; Location: SCIE141; |
| Total Enrollment Limit: 40 | | SR major: 0 | JR major: 0 | | |
| Seats Available: 4 | GRAD: X | SR non-major: 0 | JR non-major: 0 | SO: 15 | FR: 25 |
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Last Updated on APR-19-2021
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