# Linear Algebra

Educator Edition

Contributor | University of California, Davis |

Course | Linear Algebra. Suitable for a sophomore level linear algebra course taught in about twenty-five lectures. It is designed both for engineering and science majors, but has enough abstraction to be useful for potential math majors. Our goal in writing it was to produce students who can perform computations with linear systems and also understand the concepts behind these computation. |

Textbook | Linear Algebra, by David Cherney, Tom Denton, Rohit Thomas, and Andrew Waldon |

For more information on this course, visit www.math.ucdavis.edu/~linear.

## Customize your Student Experience

Edfinity is a full-featured homework system. Use this problem series as-is, or mix-and-match with other series or your own problems as desired. Edfinity gives you complete control over the every aspect of students' online assessment experience.

## Powered by WeBWorK

This problem series includes WeBWorK-enhanced problems. WeBWorK problems are highly sophisticated, supporting the representation and manipulation of mathematical objects such as vectors, points, matrices, intervals, and complex numbers, with customizable answer checkers. Students are encouraged to make multiple attempts until they succeed, and given immediate feedback on correctness.

Edfinity provides full access to the WeBWorK Open Public Library (OPL), a collection of over 20,000 rich, interactive problems across a wide range of math and science subjects, including college algebra, discrete mathematics, probability and statistics, single and multivariable calculus, differential equations, linear algebra and complex analysis.

## Problem Sets

- Demo
- Orientation
- Webwork Intro-Optional
- Background
- What Is Linear Algebra
- Systems Of Linear Equations
- Vectors In Space
- Vector Spaces
- Linear Transformations
- Matrices
- Determinants
- Subspaces And Spans
- Linear Independence
- Basis And Dimension
- Eigenvalues And Eigenvectors
- Diagonalization
- Orthonormal Bases
- Diagonalizing Symmetric Matrices
- Kernel Range Nullity Rank
- Least Squares

## License

This is a multi-student, educator license. You will be able to manage an online course with your students, and monitor their progress.