Volver a Matrix Algebra for Engineers

4.8

79 calificaciones

•

16 revisiones

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
https://bookboon.com/en/matrix-algebra-for-engineers-ebook
or
http://www.math.ust.hk/~machas/matrix-algebra-for-engineers.pdf
Watch the course overview video at
https://youtu.be/IZcyZHomFQc...

por 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.

por CL

•Feb 06, 2019

A very good course that understanding the needs of science and engineering and belance between length proof and introduction of key main concepts.

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16 revisiones

por Cameron Massey

•Feb 07, 2019

This worked as an excellent refresher course! I appreciated the practice exercises and the associated study guide.

por Chi Long Lai

•Feb 06, 2019

A very good course that understanding the needs of science and engineering and belance between length proof and introduction of key main concepts.

por xuening

•Jan 22, 2019

very well explained the key concepts of matrix

por Nitin Agrawal

•Jan 17, 2019

Insight into different structures of Matrices, how to work with them, basic linear Algebra skills

por ASHISH TEJBAHADUR YADAV

•Jan 15, 2019

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

por Akash

•Jan 11, 2019

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

Highly recommended!!!

por Divyanshu Tiwari

•Jan 05, 2019

Loved the practice problems! This course gives a solid foundation to Linear Algebra.

por Duc Van Khanh Tran

•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.

por César Jacob Nieto Rueda

•Dec 03, 2018

It is a really nice course, mixing good content and examples within the lectures. It challenges you with exercises that will let you reinforce your knowledge. I couldn't have this course on my degree and I needed it. Also really great professor.

por Stephen Moore

•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!

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