- Applied Mathematics
- Mechanics
- NumPy
- Distributed Computing
- Simulations
- Differential Equations
- Jupyter
- Finite Element Methods
- Numerical Analysis
- Engineering Analysis
- Mathematical Modeling
- Python Programming
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
Completed by Shuaichen Chen
June 5, 2022
35 hours (approximately)
Shuaichen Chen's account is verified. Coursera certifies their successful completion of Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
What you will learn
How to solve a partial differential equation using the finite-difference, the pseudospectral, or the linear (spectral) finite-element method.
Understanding the limits of explicit space-time simulations due to the stability criterion and spatial and temporal sampling requirements.
Strategies how to plan and setup sophisticated simulation tasks.
Strategies how to avoid errors in simulation results.
Skills you will gain
