Matlab Programming: Script and Function

Related lectures (29)

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Covers data manipulation and exploration using Python with a focus on visualization techniques.

Explores nonlinear truss system analysis, covering force-displacement responses, event-to-event principles, and solution algorithms.

Explores the impact of productivity shocks and government policies on key economic variables.

Focuses on file management and exception handling in Python programming.

Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.

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

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

Analyzes monetary and fiscal policy responses to public debt accumulation and the impact of Covid-19 on global economies.

Covers conditions, loops, functions, and graphics in R programming with practical examples.