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Retour à Matrix Algebra for Engineers

Avis et commentaires pour d'étudiants pour Matrix Algebra for Engineers par Université des sciences et technologies de Hong Kong

4.8
étoiles
2,028 évaluations
552 avis

À propos du cours

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...

Meilleurs avis

RH
6 nov. 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.

DL
30 avr. 2020

Very in-depth class for matrix algebra. I am a biochemistry student and have learned this in the past but re-taking this online course again has revamped my learning for linear algebra.

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201 - 225 sur 546 Avis pour Matrix Algebra for Engineers

par Gayathri m

14 mai 2020

Very nice 👍 I understood everything and questions in quiz is also very good

par Alex K

11 mai 2020

Very clear and efficient introduction for linear algebra, thank you Jeff!

par CONTAWE, C J (

27 juil. 2020

All videos are very well explained!! I learned a lot from this course!!!

par SOFIA S

13 juil. 2020

I've learned a lot about matrix operatios here.. Big Thanks Mr. Casanov

par KOTHAPALLI S B 1

31 oct. 2020

Interesting lectures , Useful content , good audio and video quality ,

par BERKAY Y

12 oct. 2020

This was an exceptional course!!!! Helped me studying for my PhD Quals

par NAVEEN S V E

14 mars 2019

This course was really helpfull and i learned well due to this course.

par Leo S

5 oct. 2020

Very helpful. The professor is cool and awesome. Thank you very much.

par Man C N

27 sept. 2020

Introductory course with many useful techniques

Notes are easy to read

par naveen j

9 juin 2020

Finding Eigen values and Eigen vectores of various types of matrices.

par BAGAFORO, J D (

1 avr. 2020

Thank you for the valuable lessons it helps a lot. Thank you so much!

par Vignesh P

11 août 2020

Nice course it is .I learned everything about matrix in this course.

par Avinash B T

25 juil. 2020

I really enjoyed a course, explanation was excellent and conceptual.

par Madhusudan

25 avr. 2020

I learned a lot more about matrix algebra in this course. Thank you.

par Jade R

18 mai 2020

Great course with detailed and helpful excercises and explanations!

par Boorla V

16 mai 2020

Doing different types of problems and thinking in a different way!!

par Saleh P R E

14 juin 2020

Gran Profesor, muy buenas explicaciones entendi todo perfectamente

par George C

23 juin 2019

Very good course -- nicely paced and everything is explained well!

par Hamid A

21 juin 2020

Great lecture and great explanation of matrix algebra. Thank you!

par amaechi c

9 avr. 2020

teaches with very friendly styles that permits learning with ease

par ASHISH T Y

15 janv. 2019

best course. this course just take up your level of understanding

par bhanupragnya

24 avr. 2020

i will recommend enrolling to this course.(i say that very rare)

par Онучин А А

25 mars 2020

Perfect basics of matrix algebra. You should try to complete it!

par Mahalingam P R

22 juin 2020

Beautifully crafted course. Well explained, and understandable.

par Nguyen K T

30 juin 2019

It's very useful math preparation for learning Machine Learning