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.
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Explores waves in inhomogeneous media, covering initial and boundary conditions, numerical stability, eigen modes, and propagation principles.
Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.
Covers the basics of LabVIEW, including its importance, history, functions, and tools available.
