CSCI8363

CSCI 8363 - Numerical Linear Algebra in Data Exploration (3 Cr.)

Computer Science and Engineering Administration (11108) TIOT - College of Science and Engineering

CSCI 8363 - Numerical Linear Algebra in Data Exploration (3 Cr.)

Course description

Computational methods in linear algebra, matrix decompositions for linear equations, least squares, eigenvalue problems, singular value decomposition, conditioning, stability in method for machine learning, large data collections. Principal directions, unsupervised clustering, latent semantic indexing, linear least squares fit. Markov chain models on hyperlink structure.

prereq: 5304 or instr consent

Minimum credits

3

Maximum credits

3

Is this course repeatable?

No

Grading basis

OPT - Student Option

Lecture

Fulfills the writing intensive requirement?

No

Typically offered term(s)

Periodic Spring