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MATH 2331 - Linear Algebra |

Uses the Gauss-Jordan elimination algorithm to analyze and find bases for subspaces such as the image and kernel of a linear transformation. Covers the geometry of linear transformations: orthogonality, the Gram-Schmidt process, rotation matrices, and least squares fit. Examines diagonalization and similarity, and the spectral theorem and the singular value decomposition. Is primarily for math and science majors; applications are drawn from many technical fields. Computation is aided by the use of software such as Maple or MATLAB, and graphing calculators. Prereq. MATH 1342 or CS 2800.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Mathematics Department Course Attributes: NU Core Math/Anly Think Lvl 2, UG College of Science Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: Undergraduate level MATH 1342 Minimum Grade of D- or Undergraduate level CS 2800 Minimum Grade of D- |

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