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Matlab and Simulink Basics

Offered By: Starweaver via Coursera

Tags

MATLAB Courses Data Analysis Courses Simulink Courses Scientific Computing Courses

Course Description

Overview

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Matlab and Simulink Basics is a meticulously crafted course offering a comprehensive introduction to Matlab's programming environment and Simulink's modeling capabilities. This course is tailored for individuals keen on bolstering their skills in these indispensable tools for engineering, science, and research domains. From laying down foundational concepts to delving into practical applications, participants will embark on a journey that hones their abilities to manipulate data, design models, and interpret results with Matlab and Simulink. This course is ideal for beginners and intermediate learners aiming to harness the power of Matlab and Simulink. Target learners include aspiring engineers, scientists, researchers, and students looking to build a solid foundation in computational problem-solving and simulation. To make the most out of this course, participants should possess a basic understanding of programming concepts and fundamental knowledge of mathematics and engineering principles. This ensures a smoother transition into grasping the intricacies of Matlab and Simulink, facilitating a more immersive learning experience. With a duration of 4.0 hours, this course offers a structured approach to mastering Matlab and Simulink, ensuring learners progress from fundamental concepts to more advanced applications seamlessly. Through a series of engaging modules and hands-on exercises, participants will develop proficiency in Matlab programming, data analysis, model simulation, and integration with Simulink. By the end of the course, learners will be equipped with essential skills to tackle real-world engineering and scientific challenges with confidence and precision. In summary, Matlab and Simulink Basics are designed to empower learners with the foundational knowledge and practical skills necessary to excel in engineering, science, and research endeavors. Whether embarking on a career in academia or industry, participants will find this course invaluable in unlocking their potential and driving innovation in their respective fields.

Syllabus

  • Introduction to Matlab
    • This module introduces users to the basics of Matlab, covering the interface, fundamental operations, basic programming concepts, intermediate features like data types and structures, functions and scripts, control flow, logical operations, and data visualization and analysis techniques.
  • Advanced Matlab Programming
    • Module 2 focuses on advanced Matlab programming techniques, including handling complex data structures, scientific computing, and best practices for efficient code writing and optimization.
  • Introduction to Simulink
    • This module provides an introduction to Simulink, a graphical programming environment for modeling, simulating, and analyzing multidomain dynamical systems.
  • Integrating Matlab and Simulink
    • Module 4 focuses on integrating Matlab and Simulink for combined applications, real-world projects, and a capstone project.

Taught by

Karlis Zars

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