Mathematics 311 - Advanced Linear Algebra

Linear algebra is one of the foundational areas of mathematics. Research from facial recognition and compressed sensing in applied math to deep results in pure math require advanced linear algebra. In addition, computer graphics, large language models, and linear models in statistics rely heavily on linear algebra techniques. Students in this course will learn the abstract mathematical ideas behind these applications, as well as gain experience with computational techniques in the field. Likely topics include abstract vector spaces, inner product spaces, singular value decompositions and other matrix factorizations, numerical techniques, and symmetric matrices.

Prereq: MATH-211 and either MATH-206 or MATH-232.