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Name: Linear Algebra II
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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.

Creative Commons License

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