MATLAB Programming Simulink: Beginner to Pro with ChatGPT
What you'll learn
- Master MATLAB Basics: Students will gain proficiency in navigating the MATLAB environment, managing variables, and performing matrix and vector operations.
- Perform Data Visualization: Learn to create high-quality 2D and 3D plots, continuous and discrete visualizations, and export professional-grade graphs.
- Design Interactive Apps: Create GUIs in MATLAB’s App Designer, add callbacks, debug, and package standalone apps for seamless distribution.
- Develop MATLAB Applications: Build custom user-defined functions, work with loops and conditional statements, and integrate data for real-world problem-solving.
Requirements
- Basic Computer Skills: Familiarity with using a computer, including file management and basic software installation.
- No Prior MATLAB Knowledge Required: The course starts from the basics, making it beginner-friendly.
- Access to MATLAB Software: Students should have MATLAB installed on their computer (trial or licensed version).
- Eagerness to Learn: A willingness to explore programming and problem-solving is the only essential requirement.
Description
Comprehensive MATLAB Programming and App Development Course
This MATLAB Programming and App Development course is a complete guide for beginners and professionals who want to master MATLAB's capabilities in programming, data visualization, and app creation. The course starts with an introduction to MATLAB, covering the environment, command window, workspace, editor, and file navigation. Students will learn how to create variables, explore data types, perform type casting, and manage matrices and vectors efficiently.
Matrix operations are at the core of MATLAB, and this course delves into matrix indexing, concatenation, and advanced functions like inverse, determinant, and row reduction. You'll also explore MATLAB's powerful plotting features, including 2D and 3D plots, continuous and discrete data visualization, and creating high-resolution (600 DPI) graphs for professional presentations.
The course emphasizes data integration by teaching how to import and export data as MAT, CSV, text, and image files. You'll also learn to work with videos and directly integrate datasets into MATLAB for analysis.
Control flow topics, including conditional statements (IF-ELSE, SWITCH-CASE) and loops (FOR, WHILE), are thoroughly covered, enabling you to write dynamic and efficient code. Additionally, the course includes creating user-defined functions to build custom solutions.
In the advanced section, you'll learn to use MATLAB's App Designer to build interactive applications. This includes creating GUIs, adding callback functions, debugging, and packaging standalone apps for PC installation.
By the end of this course, you’ll have a strong foundation in MATLAB programming, data visualization, and app development, equipping you to tackle real-world engineering, scientific, and data science problems. Whether you're a student, researcher, or professional, this course will empower you to leverage MATLAB for maximum impact.
Enroll now to unlock the full potential of MATLAB programming and app development!
Who this course is for:
- Students and Beginners: Individuals new to programming or MATLAB who want to build a strong foundation in technical computing.
- Engineers and Scientists: Professionals seeking to streamline their workflows by utilizing MATLAB for data analysis, simulations, and automation.
- Data Analysts and Researchers: Those looking to visualize, analyze, and interpret complex datasets using MATLAB's powerful tools.
- App Developers: Anyone interested in designing interactive GUIs and standalone applications with MATLAB’s App Designer.
Instructor
- 4.8 Instructor Rating
- 1,579 Reviews
- 2,741 Students
- 2 Courses
Farhan Qamar is the founder of Nextpak Agile and completed his PhD in 2021. His research interests focus on the design of Wireless Power Transfer (WPT) coils and antennas using advanced simulation tools such as CST, HFSS, and Ansys Maxwell. With expertise in applying AI algorithms in Python and MATLAB, he specializes in the 3D structural optimization of antenna dimensions, achieving optimal performance based on selected coil and antenna parameters.
In addition to his research, Farhan is actively involved in web application development and UI design using React.js and Nuxt.js. He has successfully led the development and completion of numerous projects across the globe. Currently, he is working on creating an online coding platform and environment aimed at helping beginners in the fields of AI and machine learning.