Lectures related to Inside activities: Taxonomies and Cognitive Load

Covers the analysis of flexible guidance systems through various exercises and configurations.

Covers dimensionality reduction, clustering, and density estimation techniques, including PCA, K-means, GMM, and Mean Shift.

Covers amplitude shift keying and various data analysis techniques using Jupyter Notebooks.

Explores common pitfalls in finite element modeling, covering modeling, mesh generation, matrix conditioning, and result interpretation.