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Projections, data fitting and over-determined linear systems, eigenvectors and eigenvalues, the spectral theorem for symmetric matrices, data driven bases, principal component analysis, the singular value decomposition. Credit not allowed for both MATH 569B and MATH 580A3 (Linear Algebra for Data Science: Geometric Techniques for Data Reduction).
MATH 569A (Linear Algebra for Data Science: Matrices and Vectors Spaces)
9704916850 | kirby@math.colostate.edu
Learn more at: http://www.math.colostate.edu/~kirby
Date
May 13 - Jun 23, 2024 (6 wks.)
Time:
+ Show drop and withdrawal deadlinesDrop and withdrawal deadlines
100% tuition and fees refunded
May 19, 2024
50% tuition refunded with 'W' grade
June 3, 2024
No tuition refunded and 'W' grade
June 13, 2024
Instructors:
Tuition
$835
This course section is reserved for online students only. A parallel course section may be available for campus students in RAMweb.
Date
Jun 24 - Aug 4, 2024 (6 wks.)
Time:
+ Show drop and withdrawal deadlinesDrop and withdrawal deadlines
100% tuition and fees refunded
June 30, 2024
50% tuition refunded with 'W' grade
July 15, 2024
No tuition refunded and 'W' grade
July 25, 2024
Instructors:
Tuition
$835
This course section is reserved for online students only. A parallel course section may be available for campus students in RAMweb.