MATH 257 ONL - Linear Algebra w Computat Appl
Introductory course incorporating linear algebra concepts with computational tools, with real world applications to science, engineering and data science. Topics include linear equations, matrix operations, vector spaces, linear transformations, eigenvalues, eigenvectors, inner products and norms, orthogonality, linear regression, equilibrium, linear dynamical systems and the singular value decomposition. Course Information: Credit is not given for both MATH 257 and any of MATH 125, MATH 225, MATH 227, MATH 415 or ASRM 406. Prerequisite: MATH 220 or MATH 221; CS 101 or equivalent programming experience.
This section has an online format. This course requires attendance in synchronous Online Discussion and Lab sessions that meet MTWR 10:00AM-10:50AM CST. Students in Math&CS may use this course to fulfill the Math 415 requirement in the major, while Statistics, Stat&CS, and other majors requiring Math 415 should check with their advisor. REGISTRATION DEADLINE: Registration for this course will close on Monday, June 14
Option 1Number of Required Visit(s): 0
Course Level: Undergraduate