Overview

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. Credit is not given for both MATH 257 and any of MATH 125, MATH 225, MATH 227, MATH 415 or ASRM 406

Syllabus

Math 257 syllabus.pdf

Prerequisites 

  • AP Calculus AB (score of 4 or 5) or AP Calculus BC (score of 3 or above + sub score of 4 or 5); AP Computer Science A (score of 4 or 5)
  • MATH 220 or MATH 221; CS 101 or equivalent programming experience

Course Timeline

This course will be offered during the 2023-2024 school year in the NetMath Partner High School Program.

Credit Hours

3

Testing

This course has multiple midterm exams and a final exam, all of which may be taken online with a NetMath-approved proctor. 

Course resources

A course Instructor will be available to assist with this course.