- Distributed Computing
- Vibrations
- Simulations
- Python Programming
- Differential Equations
- Engineering Calculations
- Jupyter
- Numerical Analysis
- Applied Mathematics
- Engineering Analysis
- Finite Element Methods
- Mechanics
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
Completed by KASA DHEERAJ KUMAR
September 24, 2024
35 hours (approximately)
KASA DHEERAJ KUMAR'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
