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Back to Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

Learner Reviews & Feedback for Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors by Johns Hopkins University

4.8
stars
43 ratings

About the Course

This course is the second course in the Linear Algebra Specialization. In this course, we continue to develop the techniques and theory to study matrices as special linear transformations (functions) on vectors. In particular, we develop techniques to manipulate matrices algebraically. This will allow us to better analyze and solve systems of linear equations. Furthermore, the definitions and theorems presented in the course allow use to identify the properties of an invertible matrix, identify relevant subspaces in R^n, We then focus on the geometry of the matrix transformation by studying the eigenvalues and eigenvectors of matrices. These numbers are useful for both pure and applied concepts in mathematics, data science, machine learning, artificial intelligence, and dynamical systems. We will see an application of Markov Chains and the Google PageRank Algorithm at the end of the course....

Top reviews

HK

Oct 31, 2024

Good course content. Instructor is inspiring, quite able to view thing from different perspective and useful to increase understanding of concept.

MT

Aug 1, 2024

Outstanding class in Algebra of Matrices through specific mathematical concepts into applications in Data Science and Markov chains.

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1 - 6 of 6 Reviews for Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

By William S

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Sep 14, 2024

I learned an awful lot by spending extra time with the Georgia Tech textbook and keeping a notebook full of proofs and illustrations. The lectures got better as the course progressed. My only criticism is that for independent, self-paced learners like myself, having Coursera constantly remind me that I was overdue was very annoying. I wanted to actually learn the concepts, not memorize formulas. I did this by spending a *lot* of time independently with paper and pencil, and letting the intuitions soak in. At the end of the day I understood determinants well, something I had never done as an undergraduate math major. One surprising positive -- the AI Coach is terrific! I used it to give me pop quizzes, and answered the questions in detail, and the AI understood what I was saying. Great stuff.

By Hung W K

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Nov 1, 2024

Good course content. Instructor is inspiring, quite able to view thing from different perspective and useful to increase understanding of concept.

By Ben N

•

Jun 6, 2024

Great course! Really explains every topic clearly. Go watch the 3Blue1Brown videos, they're the best

By ERUKULLA M A

•

Apr 12, 2024

good guidance

By Tanuj s

•

Nov 8, 2024

Done

By Dawit Y

•

Dec 27, 2023

It helps me to advance my knowledge and the way of teaching is just to the point, that's what i was looking for. I would say it would be great if their are more examples included.