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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.

Prerequisite

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

Instructors

Michael Kirby

9704916850 | kirby@math.colostate.edu

Learn more at: http://www.math.colostate.edu/~kirby