MIT OpenCourseWare Linear Algebra

In summary: I think it is because I am trying to understand the concept rather than just do the exercises. I am going to keep at it though.In summary, the book is helpful, but the lectures are also helpful as a refresher.
  • #1
kocher
9
0
Has anyone done MIT's OCW for the Linear Algebra course? What do you think? I'm going to try to do it over Winter break at the public library.

http://ocw.mit.edu/OcwWeb/Mathematics/18-06Spring-2005/CourseHome/index.htm

Please let me know
 
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  • #2
omg, I didn't know about this website... you have just made my life, seriously, I am going to learn the sh*t out of everything

Great idea!
 
  • #3
Try to learn that linear alg class this weekend then let me know how it was lol
 
  • #4
I'm actually going through it right now. I'm spending about an hour a day which is all I can spare but also about all I can take.
How long is your winter break.
As far as the material goes, I have never had exposure to LA before so it is very good for me. It seems pretty straight forward to me so either it is and/or the course (lectures and book) make it seem so.
 
  • #5
My break begins tomorrow after my 10:30 physics final :) I have 12/14 to 1/14 off from class, if it runs into next semester by a week or two it won't be too bad.

I haven't been too exposed to LA. I bought the book, hopefully I can learn it before i take my math phys class next semester
 
  • #6
Let us know how it works out.
 
  • #7
I watched the linear algebra lectures over my winter break. I watched 2/3rds of the lectures, but did not attempt any of the book problems because I don't have the book. It was definitely helpful as a refresher. It's a great resource, I want to see more schools open up their courses for the curious.
 
  • #8
yeah I ended up doing the Physics one instead :P
 
  • #9
i am afraid just watching lectures and not doing problems is of minimal value. at leaST I RECALL as a grad student sitting through lectures in algebraic topology about 7 times, but never really getting it until i started working problems, giving the lectures myself, and writing things out.
 
  • #10
This guy nailed the SVD. It seemed so complicated when my Belgian professor explained it to me. The only problem is: in that lecture about the SVD, he makes a mistake. When trying to come up with the SVD of:
[tex]A=\begin{bmatrix} 4 & 4 \\ -3 & 3 \end{bmatrix}[/tex]
He gets:
[tex]A=\begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}
\begin{bmatrix} \sqrt{32} & 0 \\ 0 & \sqrt{18} \end{bmatrix}
\begin{bmatrix} \frac{1}{\sqrt{2}} & \frac{1}{\sqrt{2}} \\ \frac{1}{\sqrt{2}} & \frac{-1}{\sqrt{2}} \end{bmatrix}[/tex]
I figured out by toying around that it should be:
[tex]A=\begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}
\begin{bmatrix} \sqrt{32} & 0 \\ 0 & \sqrt{18} \end{bmatrix}
\begin{bmatrix} \frac{1}{\sqrt{2}} & \frac{1}{\sqrt{2}} \\ \frac{-1}{\sqrt{2}} & \frac{1}{\sqrt{2}} \end{bmatrix}[/tex]
But why? I don't see where he (and I) made that mistake. I don't find a correction of it in his other lectures either. Can anyone explain this to me?
 
  • #11
Rockin' Roel said:
But why? I don't see where he (and I) made that mistake. I don't find a correction of it in his other lectures either. Can anyone explain this to me?

He made a mistake, people make mistakes all the time it isn't really a big deal. And can you imagine how much time would be wasted if every lecturer devoted a bit of time to correct every error that had been made in a previous lecture, that would be just stupid there is no reason to expect someone to do that.
 
  • #12
It just bothers me, I'm sure I'll understand once I'm ready for my exam. Mistakes always bother you, and in real life situations, in real problems, who knows what could happen? I'm just fooling around...
 
  • #13
mathwonk said:
i am afraid just watching lectures and not doing problems is of minimal value. at leaST I RECALL as a grad student sitting through lectures in algebraic topology about 7 times, but never really getting it until i started working problems, giving the lectures myself, and writing things out.

I hear you. I got halfway through the lectures before I decided to buy the book and start over.
 
  • #14
I am self-studying the MIT Linear Algebra now!
We should share what we learn here later ! ^^
 
  • #15
I am finding it like trying to learn spanish. I completely "get it" but forget all the little rules 5 minutes after I hear them.
I am trying to work through the exercises that have answers in the book. I am in chapter 6 now and the going got a little slower when I hit this chapter.
 

1. What is MIT OpenCourseWare Linear Algebra?

MIT OpenCourseWare Linear Algebra is a free online course offered by the Massachusetts Institute of Technology (MIT) that covers the fundamentals of linear algebra, including vector spaces, matrix operations, eigenvalues and eigenvectors, and applications in computer graphics, economics, and physics.

2. Do I need any prior knowledge to take this course?

While it is helpful to have a basic understanding of algebra and calculus, MIT OpenCourseWare Linear Algebra is designed for students with little to no prior knowledge of linear algebra. The course provides all necessary background information and builds upon concepts gradually.

3. Is this course self-paced?

Yes, MIT OpenCourseWare Linear Algebra is self-paced, meaning you can access course materials and lectures at any time and progress through the course at your own pace. However, there may be suggested timelines and due dates for assignments if you choose to participate in the course as part of a study group or with an instructor.

4. Are there any prerequisites for taking this course?

There are no prerequisites for MIT OpenCourseWare Linear Algebra, but it is recommended that students have a strong foundation in algebra and basic calculus. Additionally, some programming experience may be helpful for the application portions of the course.

5. Can I earn course credit for completing MIT OpenCourseWare Linear Algebra?

No, MIT OpenCourseWare Linear Algebra is a free, non-credit course. However, you may be able to transfer credit to your institution if you take the course through MIT's Open Learning platform or through MITx on edX.

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