Course Description
This course develops the techniques and theory needed to solve and classify systems of linear equations. Solution techniques include row operations, Gaussian elimination, and matrix algebra. It investigates the properties of vectors in two and three dimensions, leading to the notion of an abstract vector space. Vector space and matrix theory are presented including topics such as inner products, norms, orthogonality, eigenvalues, eigenspaces, and linear transformations. Selected applications of linear algebra are included.
Units: 4
Credit - Degree Applicable Transferable to both UC and CSU
Course Details
- Grade Options: Letter Grade
- In-Class Lecture Hours: 64 鈥� 72
- In-Class Lab Hours: 0
Requisites and Advisories
- Prerequisites: MATH 003B
- Co-Requisites: None
- Advisory: MATH 004A
- Additional Requisite Information:
The honors version of the same course may be used to satisfy a requisite requirement.
Transfer Details
- CSU/UC:
Transferable to both UC and CSU - WVC GE: Area A-2: Mathematical Concepts & Quantitative Reasoning
- CSU GE: Area B4 - Mathematics/Quantitative Reasoning
- UC/IGETC GE: Area 2 - Mathematical Concepts and Quantitative Reasoning
- C-ID: MATH 250 - Introduction to Linear Algebra