MAT 415
Linear Algebra for Data Sci · 3 credits · Spring 2027
Requirements
Prerequisite: MAT 301 Non-Degree Students must seek approval from Math Department in Room N599.
About this course
The course covers the usual topics of a linear algebra course (e.g., vector spaces, matrices, eigenvectors). The course also covers special topics geared toward data science (e.g., Markov chains, PCA, LDA) as well as programing in Jupyter IDE.
Seat status as of Oct 2, 6:33 PM ET. Seats can change between refreshes.
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