- Computational Thinking
- Matlab
- Algorithms
- Applied Mathematics
- Programming Principles
- Scientific Visualization
- Calculus
- Mathematical Software
- Integral Calculus
- Simulations
- Engineering Calculations
- Differential Equations
Numerical Methods for Engineers
Completed by Supitcha Panbun
March 2, 2022
40 hours (approximately)
Supitcha Panbun's account is verified. Coursera certifies their successful completion of Numerical Methods for Engineers
What you will learn
MATLAB and the foundations of scientific computing
Root finding methods such as Newton's method, and numerical linear algebra using the LU decomposition
Integration methods such as adaptive quadrature, and interpolation algorithms using a cubic spline
Numerical methods for solving ODEs, such as Runge-Kutta, and the finite difference method for solving PDEs
Skills you will gain
