Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
Covers macroeconomic models incorporating financial markets, analyzing financial decisions, macroeconomic events, and policy responses.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.
Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.
Covers control flow statements in C, including if-else and switch statements for decision-making and value comparison.
Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Covers the basics of input/output operations in C++, including interacting with the world through keyboard and screen.
