Catalog Course Description

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.

Spring Term

3 hours of Instructor presentation of course materials per week and 8 hours of Outside Work Hours per week and 3 hours of The exchange of opinions or questions on course material per week.

Fall Term

3 hours of Instructor presentation of course materials per week and 8 hours of Outside Work Hours per week and 3 hours of The exchange of opinions or questions on course material per week.