### In this bundle

**Name:**Linear Algebra II

**Type:**equella/link

## Linear Algebra II

### Description

Linear Algebra is both rich in theory and full of interesting applications (from simplifying internet search algorithms to managing air traffic); in this course, the student will try to balance both. This Saylor Foundation course includes a review of topics learned in Linear Algebra I, and continues through matrices, the spectral theorem, vector spaces, and more. This free course may be completed online at any time. See course site for detailed overview and learning outcomes.

### Creator

Saylor

### Role

Source

### Availabiltiy of WebAssign Ancillaries

No

### Publication/Creation date

2012

### Keywords

Linear Algebra,Sets,Functions,Fundamental Theorem,Matrices,Row Operations,Factorization,Linear Programming,Spectral Theory,Eigenvalues,Eigenvectors,Vector Spaces,Fields,Linear Transformations,Markov Chains,Inner Product Spaces,Self-adjoint Operators,Norms,Numerical Methods,Differential Equations

### Type of review conducted on this item

Formal Peer Review

### Discipline

Mathematics

### Language

en-US

### OGT+ Book

No

### Interactivity type

Expositive

### Learning resource type

Course, course syllabus, Diagram, Exam, Exercise, Figure, Graph, Index, lesson, Narrative text, Self assessment, Textbook

### Educational context

Community College, Higher Education

### ERIC Thesaurus Terms

Mathematics

**Creative Commons Type:**

**Attribution (CC BY)**

The Creative Commons Attribution license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered, in terms of what others can do with your works licensed under Attribution.