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Master Linear Algebra 2020: The Complete Study Of Spaces (Udemy.com)

Learn How to Define Space And How it is Characterized And Measured. We Make Linear Algebra Math Fun And Easy.

Created by: Math Rules

Last updated June 2020

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What you will learn

  • Solve linear systems
  • Understand matrix algebra
  • Know how to find the determinant of any matrix
  • Understand vector spaces and their properties
  • Understand what a basis is and how to apply it
  • Understand linear transformations
  • Understand eigenvectors
  • Understand norms
  • Understand inner products

How it compares

Against the other 127 rated Udemy courses in Math on CourseDuck:

  • Rating4.4 out of 5higher than 18% of them
  • Reviews387#53 of 128 by number of reviews
  • Length11.5 hoursshorter than 51% of them
  • Last updatedJune 2020earlier than 78% of them

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Course Description

Have you ever wanted to fully understand the fourth dimension? How about the fifth? How about a space that is infinite dimensional? This is likely the most applicable mathematics course ever. We cover in depth everything about dots, lines, planes, spaces, and whatever is beyond that. We detail special functions on them and redefine everything that you have ever learned. Prepare to have your mind blown!

Master and Learn Everything Involving Spaces

  • Vector Spaces
  • Linear Transformations
  • How to Measure Space
  • Definition of a Right Angle (The Real One)
  • Inner-Product Spaces
  • Eigenvalues and Eigenvectors

Linear Algebra Can Be Easy. Start Your Course Today!

This course includes everything that a university level linear algebra course has to offer *guaranteed*. This course is great to take before or during your linear algebra course. The book isn't enough - trust me. You will succeed with these lectures. It's hard to believe that such a difficult class can be made simple and fun, but I promise that it will be. This is a topic that is widely used with everyone, and can be understood. The reason that I succeeded in my linear algebra course is because I had a great professor, and you deserve one too! So what are you waiting for?

Join today!


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Instructor Details

Math Rules

I’m passionate about teaching math and helping others build confidence in their problem-solving abilities. From algebra and calculus to differential equations, mathematics provides powerful tools for understanding patterns, modeling real-world situations, and developing critical thinking skills. I enjoy making complex concepts more approachable and sharing the beauty, logic, and practical value of mathematics with learners at all levels.

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Reviews

4.4

387 ratings on Udemy

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By Aaron Mezzer on 3/30/2019

Damours is an amazing teacher. He moves at a comfortable pace and teaches with great examples!! I love his energy. Sometimes I wish he would explain things more in depth such as the rank nullity theorem. I look forward to seeing more videos from him, such as on topology, and other advanced math topics.

By Imran Juma on 4/16/2018

Great explanation, professor goes into depth of all the problems. My exam for MATH 1104 - Linear Algebra for Science and Engineering is in 4 days and he explains the whole course in 11Hours. Would highly recommend for any Science or Engineering students. Thanks Professor!

By Peter Solomon on 1/10/2018

He seems knowledgeable, but a majority of the course is reading the textbook. The textbook (to my knowledge) is only provided in pdfs by chapter (only the chapters he wants you to read). Tough to string it all together. He is definitely good for the basics, and I feel I learned enough about matrices to get by.

By Gionata Riccabella on 12/18/2017

Kody is clearly passionate about the argument and has a gift for teaching in an interesting and comprehensive way. One thing that is missing in this course is a more in-depth illustration of eigenvalues and eigenvectors, for example it would have been nice to know how to use them in order to diagonalize a linear transformation or to get an explanation about the geometric and arithmetic multiplicity, etc.

By Quintus Callant on 11/17/2017

This is a little cheesy not very professionally done. It feels like the course was just thrown together to make a quick buck. Some parts he gets confused and in doesnt leave me feeling all that confident as a student who needs to learn this stuff to move further on in my classes but how can I do that if the tutor isnt confidnet in what he is teaching.

By Yifei Pei on 11/15/2017

I am a new computer science masters student. I studied this subject almost 5 years ago and almost forget 80% of it. This course refreshes my knowledge of linear algebra and save my time and money to buy a textbook. Now I have a complete feeling to linear algebra. Thank you, Kody!

By Ben Cohen on 10/17/2017

I really enjoyed this course, it helped me understand linear algebra better. Cody explains well, and gives examples to the material. The reason i gave 4 stars is because i couldn't find the exercises to this course, and also i wanted more video lectures on some of the topics. All in all great course, i recommend :)

By Celine Bruce on 9/20/2017

Very easy to follow course. I learn a lot from this and get an understanding what i need of everything :) Teacher seems to not be active though so question can probably not be answered. But its pretty straight forward and the explaining is well, so i managed to figured out without him.

By adam Hecktman on 7/5/2017

so, so, so much more valuable than everything I read and every other online course I took at understanding linear algebra. I'm only on the 8th section and already understand this much better than before. The professor is very, very clear with great examples.

By Jimmy Murray on 6/12/2017

Update again: This course is well worth it if you're struggling or trying to get ahead. The instructor has great energy and really wants people to learn this material. Update: This course is paying off massive dividends for my other courses. The AV quality is still bothersome, but I really like the instructor's teaching style. The instructor clearly knows his stuff. The communication style, teaching methods, and A/V quality are not up to par. I'm looking forward to the rest of his lectures and implementing his stuff into AI. I appreciate the instructor's energy and passion.

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Overall Score : 88 / 100