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DAT 332 - Matrix Analysis/Optimization

Campus: Springfield


This course is an introduction to matrices and numerical optimization with applications in engineering and science. Topics include Algebra of matrices and systems of linear algebraic equations, rank, inverse, eigenvalues, eigenvectors, vector spaces, subspaces, basis, independence, orthogonal projection, determinant, linear programming and other numerical methods. Course Information: Prerequisites: MAT 115 or MAT 113 or equivalent.

Special Instructions:

Departmental Approval Required

Option 1

Number of Required Visit(s): 0

Course Level: Undergraduate

Credit: 4

Term(s): Fall , Spring


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