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Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.
Covers anisotropic elastic materials, examples, and Voigt notation for stress and strain components, emphasizing the compliance matrix for isotropic materials.
Covers Classical Laminate Theory for solving mechanics problems with multiple material layers, discussing displacements, strains, stresses, and equilibrium.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
Explores constructing confidence regions, inverting hypothesis tests, and the pivotal method, emphasizing the importance of likelihood methods in statistical inference.
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Explores crack growth, stress intensity factors, and fracture mechanics in materials, emphasizing energy considerations and critical stress intensity for crack growth onset.
