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MATH130
- Linear Algebra/Lecture
A requirement for mathematics and physics majors; highly recommended for all computer-science majors. Topics include systems of linear equations and their solutions, matrices and matrix algebra, inverse matrices; determinants and permutations; real n-dimensional vector spaces, abstract vector spaces and their axioms, linear transformations; inner products (dot products), orthogonality, cross products, and their geometric applications; subspaces, linear independence, bases for vector spaces, dimension, matrix rank; eigenvectors, eigenvalues, matrix diagonalization. Some applications of linear algebra will be discussed, such as computer graphics, Kirchoff's laws, linear regression (least squares), Fourier series, or differential equations. Prerequisite: MATH121 or 125. Mr. Joyce, Mr. Rudolph, Ms. Sternberg/ Offered every fall
Faculty
David Joyce, Ph.D. - Professor of Mathematics
Natalia Sternberg, Ph.D. - Professor of Mathematics and Computer Science
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