I took this course after taking all the classes related to it at Uni. Somehow all of it so easily simplied in this course that it's unbelievable. Looking foward to take more courses.

Enjoy learning about the great utility of matrices in engineering and learning to solve related problems. I think it will be very useful for my studies in civil engineering. thanks!

I found the explanations of prof Chesnoff very simple and informative. I understood much better the concepts of eigenvalues and vector spaces after chesnoffs' explanations!!!

Thanks

Great videos. The examples were very helpful. I did not come from a huge math background and I was still able to understand the course and do all the problems. Thank you very much.

An excellent course to strengthen the concepts! The course covers most of the important topics in matrix algebra and the videos help in understanding the concepts in an easier way!

Very good course its really useful and I learn so much through this course , thanks for all who is help us to learn more and more . The videos made me understand all the concepts.

Understood things in much more detailed point of view....topics covered we're really useful for my future pre-requisites.. Thankyou Jeff sir.. Really a great learning experience

This course is very good. Prof. Jeff Chasnov gave wonderful lectures and make me clearly understand Matrix Algebra. Moreover the exercise is also useful for me. Thanks very much!

very helpful course in the study of linear algebra. Strong concepts of matrices, character equations, vector spaces, sub spaces and many more interesting and challenging topics

Amazing course with abundant practice questions. The amount and level of questions were good enough to clear up all the concept. And most importantly Loved doing Matrix Algebra

This was a really great course in which I learned a lot about matices and matrix algebra in general, lot of detailed exemples and helpful execises to practice, just amazing !

All the concepts and techniques are clearly explained. There are very good exercises for each lesson. very good course. Thanks to Professor Jeff Chasnov and Coursera people.

Exceptional course on Matrix Algebra, the book accompanied by the professor is must read as well and do all the exercise. I strongly recommend this course for all engineers.

F​antastic revicion of Matrix Algebra!!! Would only ask for a more ellaborate discussion about the 4 fundamental subspaces of a matrix and the relationship among each other.

The course was really really well designed. The lecture videos were very informative and great practice was given to consolidate the lectures. Overall, an enjoyable course.

This course is really good for me. This is really a great opportunity to all the engineer. I enjoyed the course very much. Thank you sir for teaching such a great matrices.

I've really enjoyed this course. With little prior knowledge I learnt a lot both theory and practice. Thanks to prof. Chasnov and Hong Kong UoST for making this possible.

Excellent course and a foundation of math for engineers covered very well. Enjoyed the experience and completed within the timeframe needed. High recommend this course

Very good course about matrix algebra. In this course the topics are precise, and the exercises are good examples. If you like maths and matrices this topic is for you

The lecturer is very clear and has great explanations. His organization of the course such that his material never exceeded one full board per video was really great.

Excellent presentation. Concise and to the point. Would prefer more worked examples and some applications, but overall it's a very good course. Thank you, professor.

Is an excellent course and excellent teacher. The doctor is very clear in his explanations, i would him recommend like the best teacher for learn this topic complex.

E​xcellent coverage of matrix algebra. The instructor knows his subject and he communicates it in a nice, easy to understand way. I enjoyed this course very much.

It was excellent course. But I expect an advanced level course in Matrix theory in the near future. Thank you Professor Jeffrey R. Chasnov. Hoping to see you again.