Retour à Matrix Algebra for Engineers

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3,262 évaluations

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799 avis

This course is all about matrices, and concisely covers the linear algebra that an engineer should know. The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus course. There are no derivatives or integrals in this course, but students are expected to have attained a sufficient level of mathematical maturity. Nevertheless, anyone who wants to learn the basics of matrix algebra is welcome to join.
The course contains 38 short lecture videos, with a few problems to solve after each lecture. And after each substantial topic, there is a short practice quiz. Solutions to the problems and practice quizzes can be found in instructor-provided lecture notes. There are a total of four weeks in the course, and at the end of each week there is an assessed quiz.
Download the lecture notes:
http://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf
Watch the promotional video:
https://youtu.be/IZcyZHomFQc...

JS

16 janv. 2022

With regards to my course and program, this was relevant. Although I was behind on some weeks, it was because some of the topics were not in concurrence with my course, but this course really helped.

JR

4 août 2021

This is a carefully sequenced, content-rich introduction to Matrices; beware skimming over details: eg. the use of matrix formalism to solve the least squares problem is little short of magic.

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par Magesh J

•9 janv. 2022

This course from Hong Kong University professor is an excellent way to refresh your linear algebra you learnt at college. It is also equally good for people starting in matrix algebra, especially engineering students. The accompanying course material is also worth reading to fully understand what he teaches. I am looking forward to more of his courses. Thank you Coursera.

par Niomi A

•31 juil. 2020

This course was excellent. Clearly explained and easy to follow. Relatively short videos with one idea in each, problems, and regular quizzes to check your progress. I was looking for a chance to review some of the mathematics that I completed a university many moons ago and this provided clear and easy to follow materials that should accessible to most. Great work!

par Fritz A S G

•6 déc. 2021

It was a great learning experience. I liked how the professor delivered his discussion, the notes he provided, and the practice problems every section of the week. I definitely would recommend this course to other engineering students as it offers a comprehensive discussion on orthogonal matrices, LU decomposition, vector space, and eigenvalues. Kudos to the team!

par Duc V K T

•30 déc. 2018

This was an interesting course, and I learned a lot about matrix algebra. I also took another course of him, which is Fibonacci Numbers and the Golden Ratio. This is the second course of professor Jeffrey Chasnov that I took, and I really like both of his courses. I hope that professor Jeffrey Chasnov will create some more interesting math courses in the future.

par Roman B

•18 févr. 2021

Fantastic course to quickly get operational with key concepts of matrix algebra. Thanks a lot Jeff, great material! Great practical quizzes that help solidify the concepts, perfect proportion of practical tasks to the given videos! Will definitely recommend the course to my friends and looking forward to complete vector calculus and numerical methods by Jeff!

par Hugo T W S

•8 août 2021

The course was generally easy to follow and the professor really made great length and effort to explain matrices and the it's application. Despite being having no prior knowledge of matrix algebra I was able to understand and practice the examples and questions provided throughout the course. This has immensely helped in my learning of the topic! Thank you.

par Ken L

•9 mars 2021

Excellent course very clearly taught and it is great to have the solutions available to the practice quizes - it is the equivalent of having someone to talk to about a difficult problem to solve and improves learning. Most errors I made were slips, the solutions give confidence when I realise I have the right method and just need to make a small correction.

par Aldrich W

•13 mars 2021

Professor Chasnov is great at explaining these mathematical concepts and his examples are so clear to help understand the theoretical parts. The use of light board in the video making also makes his teaching much more efficient and understandable. I highly recommend his course to people who have an interest in matrix algebra or linear algebra!

par Kalpana G

•5 oct. 2020

This is such a great course. I have learned a lot. Course is excellent. Exercises are very good for practice and for clearing concepts. Exams covered all topics properly. Thanks for making such a wonderful course. Highly recommended. Clear and concise. Just the right amount delivered in a lucid, clear style. Look out for Jeff's other courses.

par Dr. N D

•31 mai 2020

The professor Jeffrey R. Chasnov is very nice in teaching. He provided the best examples and applications for the concepts. He has nicely designed course with proper distribution of practice examples. He has explained the methods in easiest possible way and also taken the examples in the same way. Thank you professor Jeffrey R. Chasnov.

par Joshua N T

•29 déc. 2020

Great course handled by a great professor. I enjoyed the lecture videos, liked the reading tasks and quizzes too. Together these (lecture videos, reading tasks and quizzes) helped me a lot. I have learnt several applications of matrices which are fundamental in the engineering field. I would recommend engineers to take up this course

par KShah

•4 janv. 2021

Great course and an awesome Professor! I learned a lot from Prof Chasnov's teaching that he presented in easily digestible chunks. He has done a great job in preparing material for the course that includes practice questions and quizzes on each section and topics. Thank you Prof Chasnov and the course staff for the enlightment!!

par Blas G

•6 sept. 2020

Amazing course taught by a professor who was genuinely interested in explaining the material. Loved the teaching technique, and the whole structure of the course. I highly recommend this course to anybody looking to sharpen up their matrix algebra skills. I took it as a refresher before staring my MSc in Mechanical Engineering

par Dhanada M

•1 avr. 2019

It was a wonderful course and helped me great deal to refresh my fundamental ideas about Vector Algebra. The course is very well designed and paced very well with interesting practice quizzes. I thoroughly enjoyed taking the course and would strongly recommend it for both new and advanced learners of the subject. Thank you.

par Brian P

•14 avr. 2021

Very useful overview of matrix algebra -- I learned this 15 years ago in undergrad, and wanted to brush up on the concepts in preparation for some additional engineering studies. I think this was well worth the time spent to brush up on the skills and be reminded of many of the important operations/functions.

Thank you!

par Melody M

•15 juil. 2021

Another great course from Jeff! The material was occasionally challenging, but paced well. The problem solutions were very helpful. A couple of the example problems were re-used a few too many times--some diversity in the problem sets would improve the course greatly. But overall, very much work the time and effort.

par Bruno D P

•7 avr. 2021

The course was particularly clear and synthetic, but a little short. A chapter dedicated to QR and SVD decompositions, widely used techniques , would have been welcome. I would also have liked a chapter on linear transformations and their links with matrices in order to have a more global vision of linear algebra.

par Edgar G

•27 mai 2021

A very concise overview of the most important components of matrix algebra for engineers from all disciplines. Prof. Chasnov has a knack to explain the most abstract concepts in a way easy to follow. I like that the course focuses in the main concepts of Linear Algebra, instead of the usual filler found in books.

par Lars O

•15 sept. 2020

Professor Chasnov is an excellent teacher. His lectures are clear and concise and all examples and problems are very helpful. I look forward to taking his vector calculus course and I would like to see him put together a complex variables analysis course for us. I'm sure it would be a comparably excellent course.

par Timur C

•4 juin 2020

I took this course as a refresher for my final year. Linear algebra wasn't my favorite subject in my freshman year since it involved a lot of tedious calculation but this course was light on me. Concept-oriented lessons with simple problems and challenging but not over the top quizzes. Thank you Prof. Chasnov !

par Chaitali S

•27 mai 2020

This is an excellent course for engineers to begin with fundamental matrix algebra. The practice questions are an excellent addition to improve the understanding of the course. The 'chalk and board' method makes it easy to understand the progression of thought and makes the teaching move at a comfortable pace.

par Lorenz M M A

•27 janv. 2021

this site really helped me because online learning Is very difficult for me because I am the type of person that likes to take my class face to face. the interaction is good it is like I am in a real class. there are confusing parts but I manage to get it right after because the lesson is very interesting.

par Wai Y K

•19 déc. 2020

A great course for undergraduate students who are about to learn matrix for the first time. The instructor points out some applications of matrix and must-known properties for matrix algebra which are going to be a basic foundation for science in the field of computer science, machine learning and AI.

par Stanislaw S

•4 avr. 2020

Hi Prof. Chasnov, I am a retired engineer and it was my great pleasure to follow your course. Although I did not do any tests I tried to understand the material you taught. I must say I liked enormously the way you teach, very clear and understandable.

I wish you all the best,

Stanislaw Swiatkowski

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