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Вернуться к Matrix Algebra for Engineers

Отзывы учащихся о курсе Matrix Algebra for Engineers от партнера Гонконгский университет науки и технологий

Оценки: 3,111
Рецензии: 778

О курсе

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: Watch the promotional video:

Лучшие рецензии

4 авг. 2021 г.

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.

6 нояб. 2018 г.

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.

Фильтр по:

326–350 из 776 отзывов о курсе Matrix Algebra for Engineers

автор: Saleh P R E

14 июня 2020 г.

Gran Profesor, muy buenas explicaciones entendi todo perfectamente

автор: George C

23 июня 2019 г.

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

автор: Hamid A

21 июня 2020 г.

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

автор: amaechi c

9 апр. 2020 г.

teaches with very friendly styles that permits learning with ease

автор: ASHISH Y

15 янв. 2019 г.

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

автор: Namchi N M

3 июня 2021 г.

A very useful course, taught in easy language and fun technique.

автор: bhanu

24 апр. 2020 г.

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

автор: Арсений О

25 мар. 2020 г.

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

автор: Angie N C A

21 окт. 2021 г.

Me gusto mucho tomar este curso ya que me sirvió de mucha ayuda

автор: BAUTISTA, J C (

4 янв. 2021 г.

Thank you for the wonderful courses and its easy to understand!

автор: Mahalingam P R

22 июня 2020 г.

Beautifully crafted course. Well explained, and understandable.

автор: Nguyen K T

30 июня 2019 г.

It's very useful math preparation for learning Machine Learning

автор: Amala B K

25 июня 2020 г.

its easy to understand and study in very easy way of teaching.

автор: AMLAN M

1 июня 2020 г.

Its a very nice course, helped me a lot for quantum mechanics.

автор: Prof. S S

8 авг. 2020 г.

Excellent course!!! Thank you for the real life applications.


9 июня 2020 г.

Understand the basic concepts needed for enginering students.

автор: jiehang s

7 июня 2020 г.

perfect instructor. explained everthing in short period time.

автор: Divya A

16 мая 2020 г.

Course is very good. I gain extra knowledge of matrix algebra

автор: Mr. C S B

2 мая 2020 г.

course is excellent and very nice explanation of the concepts

автор: jquaranta

7 апр. 2021 г.

Informative , concepts explained in straight forward manner.

автор: Yonghye K

26 сент. 2020 г.

I've learned about basic concepts to understand my research!

автор: Mohammadsadeq B

25 июля 2020 г.

I think everything was OK with this course. Thanks Coursera.

автор: Nick J

24 июля 2020 г.

Excellent course. Interesting material, very well presented.

автор: JAHNAVI B M

16 июля 2020 г.

Thank you for such a informative course on matrix algebra...

автор: Muhammad Z

21 нояб. 2019 г.

Course material and way of communication is well structured.