Intro to the Finite Element Method Lecture 1 | Introduction & Linear Algebra Review 

Many thanks for posting these lectures here. Really very helpful

The statement "a set of vectors is linearly dependent if none of the vectors in the set can be expressed as a linear combination of the other vectors in the set" is incorrect because it is describing linear independence, not linear dependence.

These lectures are amazing, thanks for uploading! Could you please upload a pdf of the slides for printing?

At 1:08:24 e2 should be [-1/√2, 1/√2, 0] according to figure drawn isn't it?

congratualtions on becoming a doctor. I watched your videos in 2021 when i took the finite element course. It helped alot

Hello Clayton, is it possible to get slides of all your lectures? Kind Regards

Sir, you are fantastic if have already studied this, but the amount of clarification getting by watching this lecture is amazing

Hi Clayton If you more videos on non-linear FEM, please upload. Thanks

1:25:47, could you explain again, I think they should be e'1 = [1/sin(theta), 1/cos(theta)] and e'2 = [-1/sin(theta), 1/cos(theta)]

time 1.20.30, in triple product: u.(v x w) = u1(v2w2-v3w2) + u2(v2w1-v1w2) + u3(v1w2-v2w1). instead of neglecting w terms. am i right or typo error.

Are there errors on orthogonal projections ? Instead of (Sqrt(17))**2 --> Sqrt(17)*Sqrt(4) ?. Why would proj v->u is equal to proj u->v even slope would differ.

Hi, Do you have any of these lecture notes to be downloaded? Thank you in advance

The way of your teaching is excellent. At the start of your lecture you said that this lecture is going to be boring but I didn't find the boring part in the whole lecture and that's all because of the way u teach.

thanks// these lectures covered all the topics that are needed to understand. these series will be helpful for further modeling in the software

I like how you gone over all the prerequisites like linear algebra, No such thing in my university.

Fabulous lecture professor and massive thanks for uploading such videos on RU-vid. However, there was one typo in the 52:08 where alpha2 value was supposed to be -2 to sum those vectors u and v to be 0.

Hello Did you share the ppt anywhere?

At 1:11:41 you use in the denominator norm of u. Why? Cause the formula says just take the norm of v and square it. Did i miss smth?

thank you for your lectures. you are great!

is there any way how to get the assignments?

Thank you very much

Been looking for this my whole adult life, so excited to go through all the lessons, thank you Doc. But why would you make all this available for free? I am not complaining though, love it.

Very easy-to-understand and fun to watch =)) many jokes actually help to keep the lecture exciting! Thank a lot

how about lectures nonlinear finite element at large strains?

I like this guy man! the way he said pick ur poison for picking up textbook...lol

Wow great lecture sir. I don't know, I think what was written as the definition of linear dependence is wrong? Though your explanation is correct.

skimming this because the last time i did FEA was in 2016. cheers

Thank you very much for these lectures. May I ask if the topics covered in this video is all the linear algebra needed for the Finite Element Method?

I need to understand how one can build a career by studying these fields?

Is the pdf version of these lectures available yet?

At 20:16, f(x0) should be read as f(x), isn't it?

Hello doctor can I get the FEM lectures thank you

Please provide notes for the lectures, a very humble request.

🧘‍♂ you are totally wrong this lecture is fun, thank you 🌸

Thanks for this amazing course. 👍🏻👍🏻

In the review of Linearly Dependent/Independent, is the definition correct? I think it should be "A set of vectors is linearly independent if ...", not " A set of vectors is linearly dependent if ...". Can someone help me check my understanding, please? Thanks in advance.

Take home test are the most stressful

Thank Sir

Thanks a lot. It was really helpful.

What is the pre-requisite to this course?

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1:43:02

Your slides make this class soft! Greetings from Brazil!

At 52:32 , is alpha2 equal to -2 in the linearly dependant case.?

17:54