Fundamental MATLAB Programming for AI

Overview

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This beginner-friendly course introduces the core programming concepts used throughout the Specialization and prepares you for later study in AI-based optimization and data analysis. It aims to build the MATLAB skills you need to start working with AI and data-driven science and engineering applications. You will learn how to work with variables, matrices, scripts, loops, functions, and built-in MATLAB tools. The course also covers practical data handling techniques, including tables, cell arrays, categorical data, encoding, and data visualization. These skills are essential for preparing engineering data and building reliable computational workflows. By the end of the course, you will be able to use MATLAB with greater confidence to organize data, write basic programs, and prepare for more advanced work in AI, evolutionary computation, and machine learning. In partnership with MathWorks, enrolled learners receive access to MATLAB for the duration of the course.

Syllabus

The Fundamentals of MATLAB

This module introduces the fundamentals of the programming platform of this course, MATLAB. Through MATLAB’s toolboxes for engineering and scientific modeling and AI techniques, students can bypass intricate programming and achieve superior results. After learning this module, students will be able to:

Produce Effective MATLAB Programs for Science and Engineering Problems

This module introduces conditionals and program control, loops, and MATLAB custom functions, followed by two case studies. After learning this module, students will be able to:

Get Ready to Learn AI using MATLAB

This module introduces MATLAB data types and widely used functions in AI programs. Two case studies that are important for AI algorithms for optimization and machine learning in science and engineering are employed to practice students’ MATLAB programming skills and get ready for learning AI. After learning this module, students will be able to: