Week 1: Bouncing balls

Week 2: solving ordinary differential equation; damped/driven harmonic oscillator; Laplace transforms.

Week 3: Randomwalk and Fourier transform to solve the diffusion equation

Week 4: Runge-Kunda

Week 5: Neumann Statbility Criterion

Week 6: Finite Element: Galerkin method

Week 7: Discrete Element: Beam

Week 8: Bootstrap

Week 9: Inverse wavelet

Week 10: Cluster weighted model

Week 11: Downhill Simplex

Week 12: Physics Informed Neural Net Autoencoder

Final: Predicting Corn Yield using Neural Net, Cluster-Weighted, and Physical Processes Models Cluster weighted model code for many covariates