Linear Algebra

Catalog description

This first course in linear algebra covers systems of linear equations, vectors, linear transformations, matrices and their determinants, vector spaces, basis and dimension, eigevectors and eigenvalues, quadratic forms, and matrix decompositions. In addition to its role as an essential topic within mathematics, linear algebra is also critically useful throughout the sciences: for example, in estimation theory, chemical equations, electrical networks, and heat distributions. Prerequisite: Sufficient high school grades, or NYU SH “Calculus and Linear Algebra” placement exam, or a grade of C or better in MATH-SHU 9 (Precalculus). Anti-Requisite: MATH-SHU 141 . Equivalency: This course counts for MATH-UA 140 . Fulfillment: Math required, Honors Math required (with MATH-SHU 143 ); Engineering required, DS required Math course.