Published 10/2025
Created by Bhavesh Solanki
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 20 Lectures ( 4h 3m) | Size: 1.51 GB
Introduction to MATLAB | For Loops and Arreys in MATLAB | Ploting and Functions in MATLAB| Programming Essentials
What you’ll learn
MATLAB Inroduction
Forward Kinematics Simulator
Air Standard Cycle Simulator
Vibrations and Dynamics
Curve Fitting and Regression
Genetic Algorithm
Requirements
There are no formal prerequisites for this course. It is intended to assist undergraduates in learning the basics of programming in general and programming MATLAB in particular. Only the very basics of programming in MATLAB will be covered, with the goal of having students become comfortable enough to continue learning MATLAB and other programming languages on their own.
Description
course teaches mechanical engineers to use MATLAB for tasks like data analysis, simulation, and algorithm development. These courses cover MATLAB basics and apply them to mechanical engineering problems, including modeling systems, performing calculations, and automating tasks with scripting. designed to improve readers’ programming skills and ability to use MATLAB to solve mechanical engineering problems. Many examples are presented to demonstrate the application of MATLAB to the analysis of problems in control systems, basic engineering mechanics, statics and dynamics, mechanical vibrations, electrical circuits, and numerical methods. provide analytical, numerical, and applied tools for studying and designing various systems in mechanical and aerospace engineering. Their practical workflows for solving fundamental engineering problems and extensive adoption in the industry enable academics to translate fundamental engineering problem-solving skills into applied engineering solutions for complex systems.Mechanical engineers employ a comprehensive range of modeling approaches, considering factors such as reliance on fundamental physical principles, available system behavior data, and the required fidelity of the models.They use MATLAB and Simulink to develop models based on first principles, leveraging advanced solvers suitable for continuous, discrete, and event-driven systems. These products also offer extended capabilities to integrate models and components from multiple sources.Engineers can use data-driven methodologies for system identification, statistical analysis, and machine learning or deep learning applications.
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