MATH220 — Linear Algebra
MATH 220 - Linear Algebra MATH 220 - Linear Algebra 5 Credits Introduction to Linear Algebra: Row operation, matrix algebra; vector spaces, orthogonality, Gram-Schmidt orthogonalization, projections, linear transformations and their matrix representations, rank, similarity; determinants; eigenvalues, eigenvectors, and least squares. 0 Course Note Graphing Calculator Required; TI-84 recommended. Math& 163 recommended. Fees Quarters Typically inter Day Spring Day Designed to Serve Transfer students in mathematics, engineering, and the sciences Active Date 20230328T10:34:10 Grading Basis Decimal Grade Class Limit 32 Lecture 55 Total Degree Distributions: AA Quantitative Skills Science ProfTech Related Instruction Computation PLA Eligible Yes Course Outline Gaussian elimination, matrix algebra, elementary matrices. Vector spaces, geometric vectors, subspaces, bases, linear independence/dependence, dimension. Vector product spaces, orthogonality, Gram-Schmidt process, orthogonal projections. Linear transformations and their matrix representations, change of basis, similarity. Properties of determinants, eigenvalues, eigenvectors, eigenspaces. Applications; data fitting, least squares. Emphasis: Mathematical proof (reading, understanding, and writing). Student Learning
Prerequisites: TI-84
Part of
- Distribution Areas
- Associate in Arts
- Associate in Science-Transfer to Engineering, Physics, and Atmospheric Sciences
- Associate in Science-Transfer Civil and Mechanical Engineering Track 2/MRP
- Associate in Science-Transfer Computer and Electrical Engineering Track 2/MRP
- Associate in Science-Transfer to Bioengineering and Chemical Engineering Track 2/MRP
- Associate in Computer Science