Introduction to Linear Algebra

Prerequisite(s): MATH 111 with a grade of C- or higher or placement through the Montclair State University Placement Test (MSUPT) or MATH 122 with a grade of C- or higher or AMAT 120 with a grade of C- or higher or department approval. Linear algebra and its applications. Topics include matrices, determinants, vector spaces, eigenvalues and eigenvectors, orthogonality and inner product spaces. Applications include network analysis, Markov chains, and systems of linear differential equations. Computational linear algebra will be used to solve problems. Computational software will be used to solve problems. Equivalent course MATH 235 effective through Spring 2020.

Term 202440 #42035 AMAT240
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Instructor
Meeting Times
Location: RICH 116 (M)
@ 11:20 - 13:00
From 2024-09-04 to 2024-12-20
Enrollment

0

seats available

35

currently enrolled

35

maximum enrollment
Term 202440 #42038 AMAT240
Permalink:
Instructor
Meeting Times
Location: RICH 114 (M)
@ 13:10 - 14:50
From 2024-09-04 to 2024-12-20
Enrollment

-4

seats available

39

currently enrolled

35

maximum enrollment

Section Tally

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