Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
Completed by Carl Josef Schiller
April 9, 2022
35 hours (approximately)
Carl Josef Schiller'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
- Category: Mathematical Modeling
- Category: Jupyter
- Category: Mechanics
- Category: Numerical Analysis
- Category: Applied Mathematics
- Category: Engineering Analysis
- Category: Distributed Computing
- Category: Differential Equations
- Category: Simulation and Simulation Software
- Category: Python Programming
- Category: Integral Calculus
- Category: Simulations
