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Fundamental MATLAB Programming for AI

Fundamental MATLAB Programming for AI

本课程是 Applied AI for Engineers and Scientists: Foundations 专项课程的一部分

位教师：Bo Liu

2,158 人已注册

包含在中

了解更多

3个模块

深入了解一个主题并学习基础知识。

78 条评论

初级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

78 条评论

初级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Learn MATLAB fundamentals, including variables, matrices, scripts, loops, functions, etc.
Prepare data in MATLAB with tables, cell arrays, categorical data, and encoding methods.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

3 项作业

授课语言：英语（English）

91%

of learners achieved a positive career outcome

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积累特定领域的专业知识

本课程是 Applied AI for Engineers and Scientists: Foundations 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有3个模块

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.

单元详情

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:

涵盖的内容

16个视频10篇阅读材料1个作业4个应用程序项目

16个视频总计110分钟

Welcome to the specialization - Applied AI for Engineers and Scientists: Foundations5分钟
Introduction to Course 1 and Module 1's Study3分钟
MATLAB Basics: The Computing Environment12分钟
Tutorial: MATLAB Basics7分钟
Tutorial: MATLAB LiveScript7分钟
MATLAB Basics: Using Built-in Functions3分钟
MATLAB Matrices: Enter a Matrix8分钟
MATLAB Matrices: Access Elements in a Matrix5分钟
MATLAB Matrices: Manipulate Matrices8分钟
MATLAB Built-in Functions: Data Types, Matrix Operations, and Statistics9分钟
MATLAB Built-in Functions: Matrix Tiling, Sorting, and Random Number Generation6分钟
MATLAB Scripts: Introduction to MATLAB Scripts5分钟
Tutorial: MATLAB Debug Example10分钟
MATLAB Graphics: Plotting Basics and Customization6分钟
MATLAB Graphics: Improving the Plots6分钟
Platform to Do Exercises and Assignments7分钟

10篇阅读材料总计76分钟

Specialization and Course Structure5分钟
Specialization Sample Certificate1分钟
How to Access MATLAB Online5分钟
Materials about MATLAB Basics10分钟
Materials about MATLAB Matrices10分钟
Materials about MATLAB Built-in Functions10分钟
Materials about MATLAB Scripts10分钟
Materials about MATLAB Graphics10分钟
Exercise solutions10分钟
Module 1 Recap5分钟

1个作业总计30分钟

Module 1 Quiz30分钟

4个应用程序项目总计90分钟

Module 1 Exercise 115分钟
Module 1 Exercise 215分钟
Module 1 Assignment 130分钟
Module 1 Assignment 230分钟

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:

涵盖的内容

7个视频6篇阅读材料1个作业4个应用程序项目

7个视频总计48分钟

Introduction to Module 2's Study1分钟
Custom MATLAB Functions: Creating Custom MATLAB Functions10分钟
Custom MATLAB Functions: Anonymous Functions8分钟
MATLAB Conditionals and Loops: Conditionals and Program Control in MATLAB8分钟
MATLAB Conditionals and Loops: Loop in MATLAB Programming8分钟
Case Study: Kepler's Third Law8分钟
Case Study: The Newton Raphson Method6分钟

6篇阅读材料总计55分钟

Materials about Custom and Anonymous Functions10分钟
Materials about Conditionals and Loops10分钟
Materials about Kepler's Third Law10分钟
Materials about Newton Raphson Method10分钟
Exercise Solutions10分钟
Module 2 Recap5分钟

1个作业总计30分钟

Module 2 Quiz30分钟

4个应用程序项目总计93分钟

Module 2 Exercise 130分钟
Module 2 Exercise 230分钟
Module 2 Assignment 130分钟
Module 2 Assignment 23分钟

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:

涵盖的内容

9个视频9篇阅读材料1个作业3个应用程序项目

9个视频总计61分钟

Introduction to Module 3's Study1分钟
MATLAB Table and Cell Arrays: MATLAB Table Arrays11分钟
MATLAB Table and Cell Arrays: Import/Export Tables5分钟
MATLAB Table and Cell Arrays: MATLAB Cell Arrays9分钟
Categorical Data: Categorical Data and One Hot Encoding12分钟
Write an Objective Function: MSE and Rastrigin Benchmark Explained7分钟
Write an Objective Function: Understanding and Implementing Binary Cross Entropy5分钟
Data Cleaning: Essentials4分钟
How to Use MATLAB Online for Module 3 Exercise 16分钟