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MATH 569A - Linear Algebra for Data Science: Matrices and Vectors Spaces

  • 1 credit

A basic introduction to matrices and linear algebra with preparation to pursue further studies in the applications of matrices with an emphasis on the foundations of data science.

Graduate students in Mathematics may not take this course for credit.


MATH 124 (Logarithmic and Exponential Functions (GT-MA1)); MATH 126 (Analytic Trigonometry (GT-MA1))

Important Information

For more information about this course, please contact Academic Success Coordinator, Paige Kanatous.