Retour à Matrix Algebra for Engineers

4.8

étoiles

459 évaluations

•

119 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.
Lecture notes can be downloaded from
http://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf...

Nov 07, 2018

Very well-prepared and presented course on matrix/linear algebra operations, with emphasis on engineering considerations. Lecture notes with examples in PDF form are especially helpful.

Oct 06, 2019

The professor’s dedication and explanation of the problem are great. This course is a basic course for advanced mathematics for engineers and is a good introduction to linear algebra.

Filtrer par :

par Vítor R

•Nov 25, 2019

Jeffrey Chasnov is a very charismatic fellow and an outstanding instructor. The lessons were very concise and clutter-free. He made a great effort of bringing us engineers (some still in formation, some brushing up concepts) the best possible approach for the topics explored. The companion book (the electronic document provided) is the best supplementary material I’ve come across for a MOOC. When someone cares, it shows. It truly shows.

par Joel M

•Jun 13, 2019

Jeff Chasnov teaches matrix algebra in a way that avoids almost all abstraction. He simplifies things, and presents tangible examples. This is a great preparation course for studying systems of linear differential equations as well.

par Christos G

•Mar 03, 2019

Chasnov is outstanding! You will love the course but above all you will adore the way Chasnov marches on through the course and you are acquiring knowledge... He is a real instructor!

par David S

•Feb 01, 2020

I'll give course five stars because it really does offer excellent value, a competent personal and well-organized professor, and a manual of lecture notes and exercises. At the same I think prospective students need to be aware of the amount of content covered and previous knowledge required. As I understand it, this Coursera offering covers half a semester of a second year university course. In other words it covers in one month what students cover in about two and a half months. And in the universiry syllabus, this course has math prerequisites. So while basic concepts are introduced, they are done so in a way that I found to imply previous familiarity. And once a concept is introduced, the material assumes students understand and can manipulate it. Whoosh! This course moves quickly.

The prof is personable and lectures in an engaging manner. Lectures are well set out. It was great that he facilitates screen capture at the end of each lecture.

The text and exercises are sparse but adequate. It is great to have both in pdf form included with the course. This comment is not to complain, but to encourage a little more filling out of details in the lectures and worked examples of the problem sets.

In conclusion if you have completed senior high or secondary school math and are willing to put in the effort, or want a concise review of matrix algebra, this is a worthwhile course.

par Gaurav V

•Jun 05, 2019

One of the finest and well-structured course I have ever taken on Matrix Algebra. Professors Chasnov's way of teaching will certainly make you fall in love with matrices. The course starts from scratch and then cover some advanced topics in linear algebra also. One of the most exciting thing about this course is it has the answer to all the question except the grades quizzes to understand your learning of the subject.

par James B

•Jun 06, 2019

Professor Jeffrey Chasnov patiently demonstrates and explains many sorts of common matrix operations. The practice problems are quite useful. I enjoyed the course and look forward to going through his next course, Differential Equations for Engineers.

par Jeff B

•May 29, 2019

Excellent course! Lectures were succinct and illuminating. I enjoyed taking it and learned some new concepts along the way. Highly recommended. Any chance a multivariate calculus course is coming?Thanks!

par Robert H

•Nov 07, 2018

Very well-prepared and presented course on matrix/linear algebra operations, with emphasis on engineering considerations. Lecture notes with examples in PDF form are especially helpful.

par Swati A

•Apr 06, 2019

Very informative and well organized. The faculty is very responsive when it comes to queries. This is the second course that I have taken by this faculty. Looking forward to more!

par IBE, E J (

•Mar 23, 2020

Matrix Algebra for Engineers is fun it is accessible and easy. Flexible environment because studying online gives you more flexibility and less stress. The online class is more fun because you can work anytime you want and unlimited takes of the quizzes and practice exams

Matrix Algebra for Engineers is fun it is accessible and easy. Flexible environment because studying online gives you more flexibility and less stress. The online class is more fun because you can work anytime you want and unlimited takes of the quizzes and practice exams

Matrix Algebra for Engineers is fun it is accessible and easy. Flexible environment because studying online gives you more flexibility and less stress. The online class is more fun because you can work anytime you want and unlimited takes of the quizzes and practice exams

par Justin L

•Mar 01, 2020

The lecturer was very good, and the material covered was quite broad, covering a lot of the main aspects found in typical Linear Algebra textbooks. I learned a lot, but much of it was revision for me. I might suggest that this course is excellent for those wishing to revise or "brush up" on their Linear Algebra skills, or those students wanting to be exposed quickly to much of Linear Algebra, particularly as it relates to practical applications in engineering. However, I do feel that this course on its own is not enough to become proficient at Linear Algebra, but it certainly helps you become familiar with the essence of it.

par John R

•Apr 01, 2019

The course was very well presented in three ways. The first, the educator was very clear and the presentation technique through the use of a window board was excellent. The educator's hands on approach through exposition and examples is to be commended. The second the material is presented in a fashion that was not simple but not too hard to grasp given effort. The reinforcement through the use of quizzes, with solved examples, and examination though the use of tests, without solved examples, works.The Third, the excellent text accompanying the course is first class.

This is a high quality course.

par Chris L

•May 17, 2019

This course gives a really good overview of matrix algebra. The practice problems and quizzes follow the lectures pretty closely and allowed me to directly apply the lecture topics. I'm using this course as a starting point for further linear algebra studies, and feel that this course has prepared me and has made me even more interested in the subject. This was a very enjoyable course for me. Professor Chasnov did an excellent job and I hope to take his other courses!

par Kenza G

•Jun 23, 2019

Jeffrey R. Chasnov, is a very good teacher. He teaches very clearly, enthusiastically and answer efficiently to the questions. We approach fundamental concepts, step by step, in a way to have a big picture in the end. The exercises help to better understand and assimilate the lectures. Thank you!

I strongly recommend this course to people who have, at least, a high school level in mathematics and want to get a full introduction in Matrix Algebra.

par Pui C W

•Mar 18, 2020

This course help me to learn a lot of matrix knowledge. The matrix basic talk about some compare of matrix, inverse matric and transpose. Also, there is Gaussian elimination to solve the unknown varible in matrix. Some vector in the vector space are having connection each other. And finally, eigenvalues and eigenvectors can show me the laplace expansion caclulate the det(A), Leibniz formula caclulate and power of matrix.

par Stephen M

•Nov 15, 2018

Excellent course, thanks so much! Really like the fact that the videos were backed by a comprehensive set lecture notes with problems AND solutions, including some proofs. This made consuming the concepts much easier. All in all a lot to swallow in this course, but great to get acquainted again (20+ years) with this subject matter. You have an excellent manner of teaching, Jeff. Thank you!

par Duc V K T

•Dec 30, 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 胡齐琦

•Jul 15, 2019

The presentations of the lecturer are very clear with support of those simple but vivid examples. I do get a better understanding of linear algebra. This course is kind of short, only the core ideas are introduced. Many questiona of mine is unsolved especially the whys behind the matrices. I will continue to learn to a better grasp of the matrices.

par Dhanada M

•Apr 01, 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 Stanislaw S

•Apr 04, 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

par BALINGIT, J F (

•Mar 23, 2020

This online platform learning makes me learn the lessons easily. I can easily review again if I make mistakes/ got the wrong answer to the test. But the most exciting part is the moment that the instructor wrote. I love how dedicated he is, and that clear board makes me want it too. Thank you!

par beryl s

•Sep 08, 2019

As a college math teacher, it was refreshing and a challenge at times. I was able to re-watch parts of the videos to get the notes that I missed writing. Since I didn't have access to the solutions to the problems, I had to check all of my answers to make sure that my results were correct.

par LIU J

•Apr 17, 2019

The content is very detailed, and the exercises are complementary to the lectures. But the teacher's intonation is too mild, which makes it difficult to concentrate. I hope the teaching skills could be improved. Overall, This is a good course and I really learned a lot.

par Darshan B P

•Jan 05, 2020

I liked the idea of line of regression and when I statistically checked the equation of line of regression was exact And I Doubt

Is statistically obtain formula from matrix if yes then okay but IF not then it is something very beautiful to intuitive .

Thanks!!!

par Mangalampalli L A

•Sep 06, 2019

First of all, Thank you Prof. Jeffery R Chasnov for taking an application-oriented approach to teaching matrix algebra concept. I thoroughly understood the topics covered in the course and I recommend it for any student interested in learning about matrices.

- L'IA pour tous
- Introduction à TensorFlow
- Réseau de neurones et deep learning
- Algorithmes, Partie 1
- Algorithmes, Partie 2
- Apprentissage automatique
- Apprentissage automatique avec Python
- Apprentissage automatique à l'aide de SAS Viya
- La programmation en R
- Intro à la programmation avec Matlab
- Analyse des données avec Python
- Principes de base d'AWS : Going Cloud Native
- Bases de Google Cloud Platform
- Ingénierie de la fiabilité du site
- Parler un anglais professionnel
- La science du bien-être
- Apprendre à apprendre
- Marchés financiers
- Tests d'hypothèses dans la santé publique
- Bases du leadership au quotidien

- Deep Learning
- Le Python pour tous
- Science des données
- Science des données appliquée avec Python
- Bases de la gestion d'entreprise
- Architecture avec Google Cloud Platform
- Ingénierie des données sur Google Cloud Platform
- Excel à MySQL
- Apprentissage automatique avancé
- Mathématiques pour l'apprentissage automatique
- Voiture autonome
- Révolutions Blockchains pour l'entreprise
- Business Analytics
- Compétences Excel pour l'entreprise
- Marketing numérique
- Analyse statistique avec R pour la santé publique
- Bases de l'immunologie
- Anatomie
- Gestion de l'innovation et du design thinking
- Bases de la psychologie positive