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Related lectures (30)
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Matlab 2: Vectorisation and Functions
Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
R Programming: Conditions, Loops, Functions & Graphics
Covers conditions, loops, functions, and graphics in R programming with practical examples.
Functions: Reusability and Error Reduction
Covers functions in C programming, emphasizing reusability and error reduction through proper function structure.
Matlab Programming: Script and Function
Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.
Functions in Python
Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
MATLAB Essentials: Functions and Variables
Covers essential MATLAB functions, variables, loops, and debugging tools.
Programming for Engineers: Advanced MATLAB Techniques
Explores advanced MATLAB techniques, emphasizing vectorization, 'find' function, and plot manipulation.
Matlab: Interactive Mode and Project Steps
Introduces Matlab basics, error handling, and billiards project concepts.
Matlab: 3D Surface Plotting
Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.
Python Modules and Functions
Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.
