DMC 321 - Applied Linear Algebra (4 Cr.)

(formerly MA 221)

Linear Algebra supports a large number of data science concepts. It provides both conceptual understanding and efficient implementation of algorithms for data science models. Topics to include the theory and application of vector spaces, Jacobians, matrix manipulations, determinants, transformations, orthogonality, eigenvectors, eigenvalues. C- or above in CS 116, DMC 106, or MA 172 Fall. Arsham, Narock