Lectures related to Matlab/Octave Functions

Matlab Functions and Debugging

Covers Matlab functions, debugging, and logical indexing with practical examples.

MATLAB Essentials: Functions and Variables

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

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.

Python Programming: Lists and Functions Overview

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

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.

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.

Programming for Engineers: Advanced MATLAB Techniques

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

Functions and Periodicity

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

Functions: Reusability and Error Reduction

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

Structured Data Representation

Covers the representation of structured data, arrays, structures, and functions with multiple return values.

Compilation and C++ Basics

Covers the basics of compilation and C++ programming, including variables, functions, loops, and debugging.

Understanding Microcontrollers: Functions

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

Partial Derivatives: Definitions and Examples

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

Entropy and the Second Law of Thermodynamics

Covers entropy, its definition, and its implications in thermodynamics.

Definitions and Notations

Covers the definitions and notations related to functions.

MATLAB: Crash Course in MATLAB

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

R Programming: Conditions, Loops, Functions & Graphics

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

Python Modules and Functions

Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.