Linear Algebra: Linear Systems and Matrix Equations
Johns Hopkins University · View on Coursera ↗
Taught by Joseph W. Cutrone, PhD
Data ScienceMath and Logic
About the course
This is the first course of a three course specialization that introduces the students to the concepts of linear algebra, one of the most important and basic areas of mathematics, with many real-life applications. This foundational material provides both theory and applications for topics in mathematics, engineering and the sciences. The course content focuses on linear equations, matrix methods, analytical geometry and linear transformations. As well as mastering techniques, students will be e
The dissent
The most-upvoted critical review (6 votes, 1.0★).
“This is overall a poor quality course. There is a gap between the type of content that is explained in the videos and the exercises that presented as graded material. There's almost no way to be prepared for the graded material based on what is covered in the lecture videos. I'd recommend to not take this course.”
Coursera's 4.7 comes from 183 ratings. Of those, 2.7% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
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Reviews read on 23 Oct 2026.Read them on Coursera ↗