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A basic introduction to matrices and linear algebra. This course provides the foundations required to pursue further studies in matrix analysis with an emphasis on applications to data science. Offered as an online course only. Graduate students in Mathematics may not take this course for credit.
If you should have any questions about this course offering, please contact Academic Success Coordinator, Paige Kanatous, or Associate Chair for Foundational Mathematics, Steve Benoit, for more information.
MATH 160 (Calculus for Physical Scientists I (GT-MA1))
Linear Algebra for Data Scientists, class notes, available for free on the class website.