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

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3个模块

深入了解一个主题并学习基础知识。

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在 10 小时一周

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3个模块

深入了解一个主题并学习基础知识。

75 条评论

初级等级

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1 周完成

在 10 小时一周

灵活的计划

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您将学到什么

Learn MATLAB fundamentals, particularly those that are useful for applying AI techniques using MATLAB.

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3 项作业

授课语言：英语（English）

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

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该课程共有3个模块

This course introduces the fundamentals of the programming platform of this course, MATLAB. Through MATLAB’s toolboxes, engineers can make use of AI techniques bypassing intricate programming and achieve superior results. After learning this course (3 modules), students will be ready to learn AI techniques using MATLAB in terms of programming skills.

In this course, MATLAB fundamentals, particularly those that are useful for applying AI techniques using MATLAB, are introduced. This includes manipulating variables and matrices in MATLAB, MATLAB scripts, graphs, using built-in functions, defining and using custom functions, conditionals and program control, loops, table arrays and cell arrays to manipulate data, categorical data and one-hot encoding of them, etc. Case studies will be provided for writing objective functions in engineering optimization and data cleaning for building machine learning models, which are the fundamentals of Courses 2 and 3. In partnership with MathWorks, enrolled students have access to MATLAB for the duration of the course.

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9篇阅读材料1个作业4个应用程序项目1个讨论话题

16个视频总计110分钟

Welcome to the specialization - Applied AI for Engineers and Scientists: Foundations 6分钟
Introduction to Course 1 and Week 1's Study 3分钟
MATLAB Basics: The Computing Environment 12分钟
Tutorial: MATLAB Basics 7分钟
Tutorial: MATLAB LiveScript 7分钟
MATLAB Basics: Using Built-in Functions 3分钟
MATLAB Matrices: Enter a Matrix 8分钟
MATLAB Matrices: Access Elements in a Matrix 5分钟
MATLAB Matrices: Manipulate Matrices 8分钟
MATLAB Built-in Functions: Data Types, Matrix Operations, and Statistics 9分钟
MATLAB Built-in Functions: Matrix Tiling, Sorting, and Random Number Generation 6分钟
MATLAB Scripts: Introduction to MATLAB Scripts 5分钟
Tutorial: MATLAB Debug Example 10分钟
MATLAB Graphics: Plotting Basics and Customization 6分钟
MATLAB Graphics: Improving the Plots 6分钟
Platform to Do Exercises and Assignments 7分钟

9篇阅读材料总计71分钟

Specialization and Course Structure 5分钟
Specialization Sample Certificate 1分钟
How to Access MATLAB Online 5分钟
Materials about MATLAB Basics 10分钟
Materials about MATLAB Matrices 10分钟
Materials about MATLAB Built-in Functions 10分钟
Materials about MATLAB Scripts 10分钟
Materials about MATLAB Graphics 10分钟
Exercise solutions 10分钟

1个作业总计15分钟

Module 1 Quiz 15分钟

4个应用程序项目总计90分钟

Module 1 Assignment 1 30分钟
Module 1 Assignment 2 30分钟
Module 1 Exercise 1 15分钟
Module 1 Exercise 2 15分钟

1个讨论话题总计10分钟

Module 1 Discussion about MATLAB 10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5篇阅读材料1个作业4个应用程序项目1个讨论话题

7个视频总计48分钟

Module 2 Introduction to Week 2's Study 1分钟
Custom MATLAB Functions: Creating Custom MATLAB Functions 10分钟
Custom MATLAB Functions: Anonymous Functions 8分钟
MATLAB Conditionals and Loops: Conditionals and Program Control in MATLAB 8分钟
MATLAB Conditionals and Loops: Loop in MATLAB Programming 8分钟
Case Study: Kepler's Third Law 8分钟
Case Study: The Newton Raphson Method 6分钟

5篇阅读材料总计50分钟

Materials about Custom and Anonymous Functions 10分钟
Materials about Conditionals and Loops 10分钟
Materials about Kepler's Third Law 10分钟
Materials about Newton Raphson Method 10分钟
Exercise Solutions 10分钟

1个作业总计30分钟

Module 2 Quiz 30分钟

4个应用程序项目总计120分钟

Module 2 Assignment 1 30分钟
Module 2 Assignment 2 30分钟
Module 2 Exercise 1 30分钟
Module 2 Exercise 2 30分钟

1个讨论话题总计10分钟

Module 2 Discussion on functions, conditionals and loops 10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8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

Module 3 Introduction to Week 3's Study 1分钟
MATLAB Table and Cell Arrays: MATLAB Table Arrays 11分钟
MATLAB Table and Cell Arrays: Import/Export Tables 5分钟
MATLAB Table and Cell Arrays: MATLAB Cell Arrays 9分钟
Categorical Data: Categorical Data and One Hot Encoding 12分钟
Write an Objective Function: MSE and Rastrigin Benchmark Explained 7分钟
Write an Objective Function: Understanding and Implementing Binary Cross Entropy 5分钟
Data Cleaning: Essentials 4分钟
How to Use MATLAB Online for Module 3 Exercise 1 6分钟