MATH 311 - Linear Algebra

(4 credits)

An introduction to using linear algebra techniques and tools to solve and extract data from systems. Topics include: Systems of Linear Equations, Eigenvalues and Eigenvectors and Singular Value Decomposition (SVD), Abstract vector spaces, Matrix invariants, Computer Algebra Systems (CAS). Prerequisite: MATH 212 - Calculus I; or MATH 222 - Data-Driven Mathematical Modeling; or MATH 140 - Applied Calculus and CS 275 - Mathematical Foundations of Algorithms. Grade or P/NC. Offered each semester.