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Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.
Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
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.
Explores numerical integration methods and their application in solving differential equations and simulating physical systems.
Covers macroeconomic models incorporating financial markets, analyzing financial decisions, macroeconomic events, and policy responses.
Explores nonlinear truss system analysis, covering force-displacement responses, event-to-event principles, and solution algorithms.
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.
