MATH 2303

Linear Algebra for Data Science

Lec 001 and Lab 501 selected

(3 Credits) 3 Lecture, Blended, Online hours, 2 Laboratory hours (formerly MATH 3303) This course provides an introduction to techniques in linear algebra and their connections to data science. Topics include orthogonal basis decompositions, singular value decomposition of a matrix, and wavelet transforms. This course is driven by applications to the analysis of big data.

Sections

Lecture, pick one

Lec 001

Mon, Wed 16:00-17:20

Mon, Wed16:00-17:20Lincoln Park T23541790

Lec 002

Mon, Wed 11:30-12:50

Mon, Wed11:30-12:50Lincoln Park T23941791

Lab, pick one

Lab 501

Tue 16:30-18:20

Tue16:30-18:20Faculty of Arts Building EA206741792

Lab 502

Tue 12:30-14:20

Tue12:30-14:20Lincoln Park E15141793

Syllabus

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