Chevron Left
Вернуться к Matrix Algebra for Engineers

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

4.8
Оценки: 286
Рецензии: 86

О курсе

This course is all about matrices, and concisely covers the linear algebra that an engineer should know. We define matrices and how to add and multiply them, and introduce some special types of matrices. We describe the Gaussian elimination algorithm used to solve systems of linear equations and the corresponding LU decomposition of a matrix. We explain the concept of vector spaces and define the main vocabulary of linear algebra. We develop the theory of determinants and use it to solve the eigenvalue problem. After each video, there are problems to solve and I have tried to choose problems that exemplify the main idea of the lecture. I try to give enough problems for students to solidify their understanding of the material, but not so many that students feel overwhelmed. I do encourage students to attempt the given problems, but if they get stuck, full solutions can be found in my lecture notes. The mathematics in this matrix algebra course is presented at the level of an advanced high school student, but typically students would take this course after completing a university-level single variable calculus course. There are no derivatives or integrals in this course, but student's are expected to have a certain level of mathematical maturity. Nevertheless, anyone who wants to learn the basics of matrix algebra is welcome to join....

Лучшие рецензии

RH

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.

CG

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!

Фильтр по:

76–86 из 86 отзывов о курсе Matrix Algebra for Engineers

автор: Владислав

Oct 09, 2018

Was hard for me but it is a good course at all

автор: Rajeev N

Jul 03, 2019

This is a really good class to get started on to the world of Matrix Algebra. A little knowledge of vectors would help greatly but not necessary. Writing notes while Jeff explains , helps a great deal with quizzes.

Jeff explains the material well in a very patient way. The quizzes are challenging and at the same time not too easy or difficult. Quizzes are very well designed to reinforce the material being explained by Jeff before.

PS: Great Class.

автор: Issam B

Jul 03, 2019

It's clear

автор: IssacTien

May 26, 2019

难度不太平均

автор: Abhay G

Aug 11, 2019

This course is not only very helpful for engineers but also helpful for under Graduate students.

I like "Gram-schmidt orthogonalization process" based lecture.

автор: Joseph P

Aug 08, 2019

First 2 weeks was clear as day, 2nd 2 weeks less so at times (for me). Thanks very much to Jeff & Coursera.

автор: Praveen K

Apr 24, 2019

New type of programing

It is good

автор: Surendar

Sep 18, 2019

I am finding this course very useful as a refresher. This course does cover most of the concepts needed and used in engineering. I sincerely thank the professor and his team for making this course happen.

автор: Ankit S

Sep 22, 2019

Really enjoyed this course.

автор: Vishnu N

Nov 05, 2019

This course is an easily achievable course, it has several challenging topics which are taught thoroughly without any complications. These videos are made audience friendly and it's a generous offer in Coursera.

автор: Reza B

Sep 18, 2019

too much material