Back to Matrix Algebra for Engineers

4.8

218 ratings

•

64 reviews

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 and drop out. I do encourage students to attempt the given problems, but if they get stuck, full solutions can be found in the lecture notes for the course.
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.
Lecture notes may be downloaded at
http://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf
Watch the course overview video at
https://youtu.be/IZcyZHomFQc...

Mar 12, 2019

Es muy bueno el curso de verdad que lo recomiendo mucho para todos aquellos estudiantes que cursan ?lgebra Lineal ya que tiene todas las herramientas necesarias para aprender esa materia

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.

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By JAIRO A R S

•Aug 06, 2019

Excelent professor

By Joseph K C

•Aug 06, 2019

This is an excellent introduction to matrix algebra. The material is very well structured and the worked-out examples help to clarify the concepts. Jeff Chasnov is a really good instructor. Thank you for making this course!

By Dasari N

•Aug 12, 2019

Very very helpful course

By Jeanette Z

•Aug 22, 2019

Overall, a very good course on matrices. There are a few math errors I found, but I still rate at 5 stars due to quality of the overall material. It brought concepts for me that I had learned and needed refreshing on.

By Akash

•Jan 11, 2019

Very systematic course ,not a typical first course in linear algebra but brilliant overall .Extremely useful for engineers.

Highly recommended!!!

By Robert C P

•Feb 17, 2019

I concise overview of useful concepts and techniques.

By Владислав

•Oct 09, 2018

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

By Praveen K

•Apr 24, 2019

New type of programing

It is good

By Luiz C

•Mar 24, 2019

Good, but would have appreciated slides instead of just pdf, and tests are too much on manual calculus instead of thinking...

By IssacTien

•May 26, 2019

难度不太平均

By 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.

By Issam B

•Jul 03, 2019

It's clear

By 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.

By 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.

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