Lectures related to Variables: Initialization and Naming

Covers parametric signal models and practical Matlab applications for Markov chains and AutoRegressive processes.

Explores the Van der Pol oscillator, its dynamic equations, and phase plane representation.

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.

Covers exercises on genome-scale metabolic models, including FBA and TFA analysis, as well as modeling kinetics.

Discusses a small open economy model with adjustment costs for bonds, covering utility functions, budget constraints, and analytical solutions.

Introduces built-in and user-defined functions in MATLAB and Octave.

Covers a series of Matlab/Octave exercises focusing on strings and scripts.

Introduces the basics of scripts and algorithms using MATLAB and Octave for beginners.