Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.
Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers the basics of image processing using Fiji software and advanced TEM, SEM, and characterization methods.
