Path (computing)

Related lectures (30)

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

Covers the basics of working with files in Python, including file objects, reading and writing files, and copying files.

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

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Covers the synthesis of an oscillatory system using the Bode diagram and MATLAB.

Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.

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

Explores the Monte Carlo method for thermal radiation and radiative energy exchange.

Explores the application and formulation of the finite element method in solving various engineering problems.

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