Courseware
Computational Science and Engineering I
This course provides the fundamental computational toolbox for solving science and engineering problems. Topics include review of linear algebra, applications to networks, structures, estimation, finite difference and finite element solutions of differential equations, Laplace’s equation and potential flow, boundary-value problems, Fourier series, the discrete Fourier transform, and convolution. We will also explore many topics in AI and machine learning throughout the course.
This resource strengthened my understanding of numerical methods, finite difference/finite element ideas, linear systems, and differential equations. It helped me connect mathematical formulations with computational implementation, improving my ability to analyze discretization schemes, solver stability, and simulation results in my research on electromagnetic numerical modeling.
- MIT Course as taught in: Summer 2020