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 numerical integration methods and their application in solving differential equations and simulating physical systems.
Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Covers macroeconomic models incorporating financial markets, analyzing financial decisions, macroeconomic events, and policy responses.
