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The Finite Element Method for Problems in Physics

What You'll Learn

  • Become familiar with the finite element method as applicable to a range of problems in physics and engineering.
  • Create simple C++ code.
13 Modules
65 Hours
5 hrs per module (approx.)
Rating

About 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.

Skills You'll Gain

  • Finite Element Methods
  • Generalized Finite Element Methods

What You'll Earn

Certificate of Completion:
Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Experience Type
100% Online
Format
Self-Paced
Subject
  • Science
  • Technology
Platform
Coursera
Welcome Message

Welcome to The Finite Element Method for Problems in Physics, an advanced course introducing finite element formulations for physics and engineering applications. Learners focus on translating mathematical formulations into working code using modern, open-source tools, while developing conceptual understanding of partial differential equations and linear algebra.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.

Course Schedule

Modules 1–2

  • Unit Quizzes on FEM Foundations

Module 3

  • Unit Quiz
  • Coding Assignment 1

Modules 4–7

  • Unit Quizzes

Module 8

  • Unit Quiz
  • Coding Assignment 2

Modules 9–10

  • Unit Quizzes
  • Coding Assignment 3

Module 11

  • Unit Quiz
  • Coding Assignment 4

Modules 12–13

  • Unit Quiz
  • Course Wrap-Up
Grading Policy

Learners must complete all required quizzes and coding assignments. Course materials remain open for self-paced learning.

Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.

Intermediate Level

Some related experience required

Enrollment Options

Individuals

This experience is available to individual learners on the following platforms:

U-M Community

Students, faculty, staff, and alumni of the University of Michigan get free access.

Organizations

Special pricing and tailored programming bundles available for organizational partners.

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Reviews and Ratings

4.6

514 Ratings from Coursera

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