Computational statistics

Related lectures (30)

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Explores protein folding basics, stability, mutations, and computational methods.

Covers data-driven manufacturing with a focus on additive manufacturing, including manufacturability analysis and a machine learning approach.

Delves into the mechanics of slender structures using naturally curly hair in 3D as an example.

Explores structure modeling exercises using Jupyter Notebooks for better understanding equations and related phenomena.

Covers path-integral ground state methods and Monte Carlo simulations in computational quantum physics.

Explores computational methods to predict COVID-19 therapeutic mechanisms through drug repurposing and machine learning.

Covers the basics of C programming, including syntax, data types, pointers, arrays, and compilation commands.

Covers a novel catalytic radical process for asymmetric synthesis of cyclobutanones.

Explores biclustering in data matrices, identifying coherent behavior patterns and discussing computational methods for analysis.

Explores Laplacian solvers, covering approximate solutions, applications, error conversion, and theoretical advancements in computational methods.