Explores time management in microcontrollers, covering instruction duration, active waiting, calibration, and multitasking efficiency.
Explores parametric spectrum estimation methods, including line and smooth spectra, and delves into heart rate variability analysis.
Explores neurophysiological data analysis, covering AP identification, firing rates, subthreshold activity, FFT spectral analysis, and event-triggered analysis using MATLAB.
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Provides guidance on mentor responsibilities, active listening, and supporting students effectively.
Covers the implementation of MATLAB and Octave for beginners, including functions to ask for axes, plot ellipses, load files, and modify axes.
Covers feedback on presentations, highlighting positives and areas for improvement from different teams.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
