Finite Element Method: Applications and Formulations

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Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Introduces Matlab basics, error handling, and billiards project concepts.

Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.

Covers the application of numerical methods to solve differential equations using MATLAB.

Covers numerical methods for solving boundary value problems using finite difference, FFT, and finite element methods.

Explores tissue-level wave patterns, cellular oscillators, genetic waves, and gene expression patterns in cellular differentiation.

Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.

Covers numerical methods for solving boundary value problems using Crank-Nicolson and FFT.

Covers essential MATLAB functions, variables, loops, and debugging tools.

Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.