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Numerical Methods for Partial Differential Equations
Last Updated: 2026-02-05 16:37:17
Abstract
Derivation, properties, and implementation of fundamental numerical methods for a few key partial differential equations,among them (convection)-diffusion and heat equations, wave equation, conservation laws. Implementation in C++ based on a finite element library.
Objective
Main skills to be acquired in this course: * Ability to implement fundamental numerical methods for the solution of partial differential equations efficiently. * Ability to modify and adapt numerical algorithms guided by awareness of their mathematical foundations. * Ability to select and assess numerical methods in light of the predictions of theory * Ability to identify features of a PDE (= partial differential equation) based model that are relevant for the selection and performance of a numerical algorithm. * Ability to understand research publications on theoretical and practical aspects of numerical methods for partial differential equations. * Skills in the efficient implementation of finite element methods on unstructured meshes. This course is neither a course on the mathematical foundations and numerical analysis of methods nor an course that merely teaches recipes and how to apply software packages.
Content
See the contents of 401-0674-00 Numerical Methods for Partial Differential Equations
Resources
Lecture Notes
The lecture will be taught in flipped classroom format:- Video tutorials for all thematic units will be published online.- Tablet notes accompanying the videos will be made available to the audience as PDF.- A comprehensive PDF handout will cover all aspects of the lecture.
Literature
See the information given for 401-0674-00 Numerical Methods for Partial Differential Equations
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Semesterly recurring
Examination
- Type
- session examination
- Mode
- written 225 minutes
- Aids
- No aids allowed. Some documentations and documents will be made available on the exam computers.
- Digital
- The exam takes place on devices provided by ETH Zurich.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| revision course / private study |
Numerical Methods for Partial Differential Equations
Self-study course. No presence required. Attendance of parallel flipped-classroom course strongly recommended.
IMPORTANT: Please also register for the actual course unit 401-0674-00 G Numerical Methods for Partial Differential Equations in order to be included in communication. This "course" is listed for formal reasons only.
|
No time listed | 300 h semesterly |
Offered In
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Course Units for Additional Admission Requirements (The courses below are only available for MSc students with additional admission requirements.)
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