Lectures related to Matlab Functions and Debugging

MATLAB Essentials: Functions and Variables

Covers essential MATLAB functions, variables, loops, and debugging tools.

Focuses on Matlab/Octave functions, covering naming conventions, returning values, debugging, and logical indexing.

Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.

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Programming for Engineers: Advanced MATLAB Techniques

Explores advanced MATLAB techniques, emphasizing vectorization, 'find' function, and plot manipulation.

Python Functions: Basics and Arguments

Covers the basics of writing functions in Python and working with function arguments.

Real Functions: Definitions and Properties

Explores real functions, covering parity, periodicity, and polynomial functions.

Functions and Periodicity

Covers functions, including even and odd functions, periodicity, and function operations.

Python Programming: Lists and Functions Overview

Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.

Python Crash Course

Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.

MATLAB: Crash Course in MATLAB

Offers a crash course in MATLAB, covering data representation, array indexing, mathematical operations, and common pitfalls.

Partial Derivatives: Definitions and Examples

Covers the concept of partial derivatives and their applications in mathematical analysis.

Python Programming: Loops and Functions

Introduces loops, functions, and debugging in Python programming, covering basic concepts and practical examples.

Python Programming: Control Structures and Functions

Covers advanced topics in Python programming, focusing on control structures and functions.

Functions in Python

Introduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.

Python Basics: Syntax, Variables, Functions

Covers Python basics such as syntax, variables, and functions, introducing the Renku platform for collaborative data science.

Basic Operations on Arrays and Functions: Matlab 03

Covers basic operations on arrays and functions in Matlab, including array creation, arithmetic operations, and function definitions.

Functions: Reusability and Error Reduction

Covers functions in C programming, emphasizing reusability and error reduction through proper function structure.

R Programming: Conditions, Loops, Functions & Graphics

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

Understanding Microcontrollers: Functions

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.