Lectures related to Programming for Engineers: Advanced MATLAB Techniques

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.

Programming for Engineers

Introduces a programming course for engineers, emphasizing the importance of mastering multiple languages for future projects.

Matlab Programming: Script and Function

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Untitled

Introduction to Matlab Programming

Introduces Matlab programming, covering basic operations, matrix manipulations, and debugging.

Understanding Microcontrollers: Functions

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

Understanding Microcontrollers: Functions

Introduces the fundamentals of functions in microcontroller programming, emphasizing naming conventions and program structuring.

Programming for Engineers

Covers programming concepts, memory management, debugging, and advanced MATLAB functionalities.

MATLAB Essentials: Functions and Variables

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

Programming Functions in MATLAB

Covers programming functions in MATLAB, including handling scalars, vectors, matrices, and variable naming conventions.

Python Functions: Basics and Arguments

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

Functions: Reusability and Error Reduction

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

Numerical Methods: Stopping Criteria, SciPy, and Matplotlib

Discusses numerical methods, focusing on stopping criteria, SciPy for optimization, and data visualization with Matplotlib.

R Programming: Conditions, Loops, Functions & Graphics

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

File Management and Exception Handling in Python

Focuses on file management and exception handling in Python programming.

Air Pollution Data Analysis

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.

NumPy Arrays and Graphical Representations: Introduction

Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.

Introduction to NumPy: Basics of Scientific Computing

Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.

Python Programming: Lists and Functions Overview

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

Programming for Engineers

Covers programming basics for engineers, emphasizing MATLAB, C, and LabVIEW tools for project development.