Covers rhythm generation techniques, including Markov models and hierarchical rhythm generation, with a focus on Nancarrow's Study 14.
Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.
Explores fluid-solid coupling dynamics, stability analysis, and system response to external disturbances using MATLAB simulations.
