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The Finite Element Method for Problems in Physics

This course is an introduction to the finite element method as applicable to a range of problems in physics and engineering sciences. The treatment is mathematical, but only for the purpose of clarifying the formulation. The emphasis is on coding up the formulations in a modern, open-source environment that can be expanded to other applications, subsequently. The course includes about 45 hours of lectures covering the material I normally teach in an introductory graduate class at University of Michigan. The treatment is mathematical, which is natural for a topic whose roots lie deep in functional analysis and variational calculus. It is not formal, however, because the main goal of these lectures is to turn the viewer into a competent developer of finite element code. We do spend time in rudimentary functional analysis, and variational calculus, but this is only to highlight the mathematical basis for the methods, which in turn explains why they work so well. Much of the success of the Finite Element Method as a computational framework lies in the rigor of its mathematical foundation, and this needs to be appreciated, even if only in the elementary manner presented here. A background in PDEs and, more importantly, linear algebra, is assumed, although the viewer will find that we develop all the relevant ideas that are needed. The development itself focuses on the classical forms of partial differential equations (PDEs): elliptic, parabolic and hyperbolic. At each stage, however, we make numerous connections to the physical phenomena represented by the PDEs. For clarity we begin with elliptic PDEs in one dimension (linearized elasticity, steady state heat conduction and mass diffusion). We then move on to three dimensional elliptic PDEs in scalar unknowns (heat conduction and mass diffusion), before ending the treatment of elliptic PDEs with three dimensional problems in vector unknowns (linearized elasticity). Parabolic PDEs in three dimensions come next (unsteady heat conduction and mass diffusion), and the lectures end with hyperbolic PDEs in three dimensions (linear elastodynamics). Interspersed among the lectures are responses to questions that arose from a small group of graduate students and post-doctoral scholars who followed the lectures live. At suitable points in the lectures, we interrupt the mathematical development to lay out the code framework, which is entirely open source, and C++ based. Books: There are many books on finite element methods. This class does not have a required textbook. However, we do recommend the following books for more detailed and broader treatments than can be provided in any form of class: The Finite Element Method: Linear Static and Dynamic Finite Element Analysis, T.J.R. Hughes, Dover Publications, 2000. The Finite Element Method: Its Basis and Fundamentals, O.C. Zienkiewicz, R.L. Taylor and J.Z. Zhu, Butterworth-Heinemann, 2005. A First Course in Finite Elements, J. Fish and T. Belytschko, Wiley, 2007. Resources: You can download the deal.ii library at dealii.org. The lectures include coding tutorials where we list other resources that you can use if you are unable to install deal.ii on your own computer. You will need cmake to run deal.ii. It is available at cmake.org.

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Rating 4.2 based on 70 ratings
Length 14 weeks
Effort You should expect to watch about 3 hours of video lectures a week. Apart from the lectures, expect to put in between 3 and 5 hours a week.
Starts Jul 17 (41 weeks ago)
Cost $49
From University of Michigan via Coursera
Instructor Krishna Garikipati, Ph.D.
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Engineering
Tags Computer Science Software Development Physical Science And Engineering Mechanical Engineering

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What people are saying

finite element method

The best way to start learning The Finite Element Method!

This is an excellent course on Finite Element Method.

Easy get confused This is a very good course for getting introduced in the theory and practice of the finite element method.

There are finite element method software packages that lead us to believe that we don't need to understand the finite element method (FEM) in order to make physics simulations.That is true if you just want to study simple academic problems.

I was expecting learning how to apply finite element as an engineer and designer, instead the course is about the mathematics & programming of the finite element method.

But on the other hand this programming assignments are...I am not able to see why using such a complicated main code template is useful to understand the principals of the finite element method.

I started this course because I want to learn about finite element method and not how to install deal.II software.

This is a good intro course which introduce the Finite Element Method step by step, which suited me perfectly since I hardly coded in c++ nor did FEM before.Nevertheless, as a graduate student, the pace is very slow, and the outline and motivation unclear, which would likely have discouraged me if I did not review video in x2, and stuck to second week lectures and onward.I would advise to introduce more outline and motivation at the beginning of the week lecture to keep students motivated.

A good primer of the theoretical fundamentals of the Finite Element Methods.

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krishna garikipati

It is very well structured and Dr Krishna Garikipati helps me understand the course in very simple manner.

Also learned a lot on the coding part of the FE modeling While quite mathematical in nature as opposed to a purely applied view of the method, Prof, Krishna Garikipati's teaching style and clear explanations make the material accessible to practicing engineers outside of academia.

programming assignments

it is good course it more useful to us and i learn lot information for this course thanking you giving for this opportunity very friendly to the students good good It is so difficult for mechanical students to do programming assignments with zero knowledge on C++The lectures are too boring and non-practical.

The instructions on programming assignments are limpid, can get through them even with very little programming experience.

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Rating 4.2 based on 70 ratings
Length 14 weeks
Effort You should expect to watch about 3 hours of video lectures a week. Apart from the lectures, expect to put in between 3 and 5 hours a week.
Starts Jul 17 (41 weeks ago)
Cost $49
From University of Michigan via Coursera
Instructor Krishna Garikipati, Ph.D.
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Engineering
Tags Computer Science Software Development Physical Science And Engineering Mechanical Engineering

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