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MATH 310 - Applied Linear Algebra

Description
Matrices, row reduction algorithm, vector spaces, LU-decomposition, orthogonality, Gram-Schmidt process, determinants, inner products, eigenvalue problems, applications to differential equations and Markov processes. Course Information: MATH 310 cannot be used as an elective for the Major in Mathematics. Prerequisite(s): Grade of C or better in MATH 181. This course may also involve synchronous evening assessments at times throughout the semester. Details will be made available on the course syllabus at the start of the term.
Credits
3
Recent Professors
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Recent Semesters
Fall 2022, Spring 2022, Fall 2021, Spring 2021, Fall 2020
Offered
MWF
Avg. Class Size
107
Avg. Sections
5