Linear Algebra: Orthogonality and Diagonalization
Johns Hopkins University · View on Coursera ↗
Taught by Joseph W. Cutrone, PhD
Data ScienceMath and Logic
About the course
This is the third and final course in the Linear Algebra Specialization that focuses on the theory and computations that arise from working with orthogonal vectors. This includes the study of orthogonal transformation, orthogonal bases, and orthogonal transformations. The course culminates in the theory of symmetric matrices, linking the algebraic properties with their corresponding geometric equivalences. These matrices arise more often in applications than any other class of matrices. The th
The dissent
The most-upvoted critical review (no upvotes, 3.0★).
“The video and notes are not enough to get a working understanding of the subject. A lot of supplementary learning was required, beyond any of the provided material. In order to get the proper answers to the assessment problems, the exact same methodology as the class examples must be followed as intermediate answers will differ, even if correct, based on solving choices even if the final answer is also correct.”
Coursera's 4.8 comes from 56 ratings. Of those, 0.0% are 1–2★.
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Reviews read on 23 Oct 2026.Read them on Coursera ↗