Summary

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강의 계획서 보기

배우게 될 기술

Eigenvalues And Eigenvectors, Basis (Linear Algebra), Transformation Matrix, Linear Algebra

검토

4.7(8,589개의 평가)
  • 5 stars
    73.95%
  • 4 stars
    20.82%
  • 3 stars
    3.38%
  • 2 stars
    1.05%
  • 1 star
    0.76%
PL
2018년 8월 25일

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

NS
2018년 12월 22일

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.

수업에서
Matrices in Linear Algebra: Objects that operate on Vectors

강사:

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    David Dye

    Professor of Metallurgy
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    Samuel J. Cooper

    Lecturer
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    A. Freddie Page

    Strategic Teaching Fellow

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