Matrix Algebra Review (#306)
Issued by
Statistics.com
The course objective is to prepare students for the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods including the matrix inverse, generalized inverse and eigenvalues and eigenvectors.
- Type Validation
- Level Advanced
- Time Weeks
Earning Criteria
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The methods of assessment include quizzes, with a minimum passing score of 70%.
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Instructional strategies include: discussion, computer-based training, practical exercises, classroom exercise.
Endorsements
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American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 1 Lower-Division Baccalaureate college credits in Matrix Algebra. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in matrix algebra in the lower-division undergraduate category