MATH56

This is a first course in Linear Algebra. Core topics include: algebra and geometry of vectors and matrices; systems of linear equations and Gaussian elimination; eigenvalues and eigenvectors; Gram-Schmidt and least squares; symmetric matrices and quadratic forms; singular value decomposition and other factorizations. Time permitting, additional topics may include: Markov chains and Perron-Frobenius, dimensionality reduction, or linear programming. This course differs from Math 54 in that it does not cover Differential Equations, but focuses on Linear Algebra motivated by first applications in Data Science and Statistics.

Course is not repeatable for credit.

Prerequisites are Math 52 (previously known as Math 1B or N1B), 10B, or N10B. [N is the summer version]

Students will receive no credit for MATH 56 after completing MATH 54, MATH N54, or MATH W54. A deficient grade in MATH 56 may be removed by taking MATH 54, MATH N54, or MATH W54.

A deficient grade in MATH 56 may be removed by taking MATH 54, MATH N54, or MATH W54.