- Differential Equations
- Finite Element Methods
- Applied Mathematics
- Python Programming
- Engineering Analysis
- Jupyter
- Distributed Computing
- Vibrations
- Simulations
- Mathematical Modeling
- Numerical Analysis
- Engineering Calculations
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
Completed by Iakov Kharitonov
January 11, 2021
35 hours (approximately)
Iakov Kharitonov'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
