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Lecture
Matlab/Octave Basics
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Related lectures (31)
MATLAB Essentials: Functions and Variables
Covers essential MATLAB functions, variables, loops, and debugging tools.
Programme principal: MATLAB et Octave pour débutants
MOOC: MATLAB and Octave for Beginners
Covers the main program for beginners in MATLAB and Octave.
Tissue-level Wave Patterns: Cellular Oscillators and Genetic Waves
Explores tissue-level wave patterns, cellular oscillators, genetic waves, and gene expression patterns in cellular differentiation.
Bode Diagram: Oscillatory System Synthesis
Covers the synthesis of an oscillatory system using the Bode diagram and MATLAB.
Scripts and Algorithms: MATLAB and Octave Basics
MOOC: MATLAB and Octave for Beginners
Introduces the basics of scripts and algorithms using MATLAB and Octave for beginners.
Bode Diagram Synthesis
Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.
Functions: User Defined Functions
MOOC: MATLAB and Octave for Beginners
Introduces built-in and user-defined functions in MATLAB and Octave.
Matlab Programming: Script and Function
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Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Matlab: 3D Surface Plotting
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Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.
Introduction to MATLAB and GNU Octave
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Introduces MATLAB and GNU Octave, covering basic concepts, workspace, data types, matrices, installation, and practical usage.
Matlab/Octave Exercises: Strings and Scripts
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Covers a series of Matlab/Octave exercises focusing on strings and scripts.
Matlab: Interactive Mode and Project Steps
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Introduces Matlab basics, error handling, and billiards project concepts.
Programming for Engineers
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Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.
Introduction to Matlab Programming
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Introduces Matlab programming, covering basic operations, matrix manipulations, and debugging.
Matlab 2: Vectorisation and Functions
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Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
Untitled
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Gaussian Mixture Models: Data Classification
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Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.
Statistical Signal Processing
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Covers Gaussian Mixture Models, Denoising, Data Classification, and Spike Sorting using Principal Component Analysis.
Macroeconomic Model Analysis
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Explores the impact of productivity shocks and government policies on key economic variables.
Numerical Methods: Differential Equations
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Covers the application of numerical methods to solve differential equations using MATLAB.
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