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Overview
Key Features
The mathematical derivation of the computational algorithm is accompanied by python codes embedded in Jupyter notebooks. In a unique setup you can see how the mathematical equations are transformed to a computer code and the results visualized. The emphasis is on illustrating the fundamental mathematical ingredients of the various numerical methods (e.g., Taylor series, Fourier series, differentiation, function interpolation, numerical integration) and how they compare.
You will be provided with strategies how to ensure your solutions are correct, for example benchmarking with analytical solutions or convergence tests. The mathematical aspects are complemented by a basic introduction to wave physics, discretization, meshes, parallel programming, computing models.
The Computers, Waves, Simulations - A Practical Introduction to Numerical Methods using Python course offered by Coursera in partnership with Ludwig-Maximilians-Universität München (LMU) targets anyone who aims at developing or using numerical methods applied to partial differential equations and is seeking a practical introduction at a basic level. The methodologies discussed are widely used in natural sciences, engineering, as well as economics and other fields.
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Visit programme websiteProgramme Structure
Courses include:
- Discrete World, Wave Physics, Computers
- The Finite-Difference Method - Taylor Operators
- The Finite-Difference Method - 1D Wave Equation - von Neumann Analysis
- The Finite-Difference Method in 2D - Numerical Anisotropy, Heterogeneous Media
- The Pseudospectral Method, Function Interpolation
- The Linear Finite-Element Method - Static Elasticity
- The Linear Finite-Element Method - Dynamic Elasticity
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Computer Sciences Software Engineering View 554 other Short Courses in Software Engineering in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- Basic knowledge of calculus and analysis, series, partial differential equations, and linear algebra.
Make sure you meet all requirements
Visit programme websiteTuition Fee
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.
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