Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Explores fluid-solid coupling dynamics, stability analysis, and system response to external disturbances using MATLAB simulations.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.
Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.
