CSCI2033 — Elementary Computational Linear Algebra
CSCI 2033 - Elementary Computational Linear Algebra CSCI 2033 - Elementary Computational Linear Algebra Hours/Week: Lecture 4 Lab None Course Description: This course is an introduction to the numerical methods of Linear Algebra and their application to solving computational problems. Topics covered will include matrices, linear transformations, linear vector spaces, inner product spaces, systems of linear equations, Eigenvalues, and singular values. Algorithms and computational matrix methods will be presented using MATLAB. Matrix methods will be used to solve a variety of computer science problems. MnTC Goals None ; Orthogonality; Least Squares; Norms, Condition Numbers, and Numerical Stability; Applications Abstract linear transformations; Applications Eigenvalues. Spectra of Symmetric matrices; Diagonalization of symmetric matrices; Applications Singular Value Decomposition; Applications Learning
Prerequisites: CSCI1058, CSCI1060, CSCI1071, CSCI1081, CSCI1082