Get started with MATLAB and ChatGPT for scientific coding

Get started with MATLAB and ChatGPT for scientific coding, available at $124.99, has an average rating of 4.75, with 62 lectures, based on 1277 reviews, and has 7579 subscribers.

You will learn about Introduction to MATLAB How to write scripts and functions Visualize data in 2D and 3D Control statements Develop your programming style Think like a programmer Find and fix bugs! Learn the most common coding mistakes and how to avoid them Strategies for planning and organizing your code This course is ideal for individuals who are Students who need MATLAB for courses or Scientists who need MATLAB for research or Someone who will use MATLAB as a tool to understand math or engineering principles or Experienced programmers who are new to MATLAB or Anyone interested in learning about programming! It is particularly useful for Students who need MATLAB for courses or Scientists who need MATLAB for research or Someone who will use MATLAB as a tool to understand math or engineering principles or Experienced programmers who are new to MATLAB or Anyone interested in learning about programming!.

Enroll now: Get started with MATLAB and ChatGPT for scientific coding

Summary

Title: Get started with MATLAB and ChatGPT for scientific coding

Price: $124.99

Average Rating: 4.75

Number of Lectures: 62

Number of Published Lectures: 61

Number of Curriculum Items: 62

Number of Published Curriculum Objects: 61

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to MATLAB

How to write scripts and functions

Visualize data in 2D and 3D

Control statements

Develop your programming style

Think like a programmer

Find and fix bugs!

Learn the most common coding mistakes and how to avoid them

Strategies for planning and organizing your code

Who Should Attend

Students who need MATLAB for courses

Scientists who need MATLAB for research

Someone who will use MATLAB as a tool to understand math or engineering principles

Experienced programmers who are new to MATLAB

Anyone interested in learning about programming!

Target Audiences

Students who need MATLAB for courses

Scientists who need MATLAB for research

Someone who will use MATLAB as a tool to understand math or engineering principles

Experienced programmers who are new to MATLAB

Anyone interested in learning about programming!

Welcome to “Get started with MATLAB for scientific coding”!

This course is designed to revolutionize your journey to mastering MATLAB, one of the industry’s leading programming languages for data visualization, numerical computation, and algorithm development.

This course is unique in that it integrates ChatGPT, a powerful AI language model developed by OpenAI, to support and enhance your learning experience.

Who is this course for?

Whether you’re a student trying to grapple with MATLAB for your coursework, a researcher aiming to analyze large data sets, or a professional seeking to enhance your coding skills, this course is tailored for you. No prior programming knowledge is required I start from the basics and gradually build up to more complex topics.

What will you learn?

This course takes a comprehensive and engaging approach to learning MATLAB, covering everything from the basics of MATLAB’s desktop environment, variable types, scripts and functions, to data import/export, control statement architecture, and data visualization techniques.

But you won’t stop there you will be introduced to ChatGPT and learn how to utilize this AI tool effectively to aid your coding journey. ChatGPT can translate natural language into code, improve your code, help in choosing the right coding structures, assist in debugging, and even explain complex code in plain English! This unique blend of learning to code while having an AI assistant is a novelty that sets our course apart.

Throughout the course, you will:

Understand the MATLAB desktop environment and how to use MATLAB as a calculator

Learn about different types of variables including numbers, strings, logic, and structures

Gain insights into the organization of scripts and functions, and the significance of function inputs and outputs

Develop skills to read and write data in MATLAB, text, and Excel formats

Master control statements such as if-else, for-loops, and while-loops

Learn about data visualization and figure plotting in MATLAB

Get introduced to coding errors and debugging strategies, including the FIP (find, inspect, plot) strategy

And much more

Course highlights:

Detailed explanations of core MATLAB concepts with clear, visual examples

Plenty of hands-on exercises and practical applications to solidify your understanding

Interactive guidance from ChatGPT to assist with coding problems, debugging, and understanding complex concepts

Access to downloadable resources and code files for offline study and practice

Why choose this course?

Your instructor, Mike (that’s me!), brings over 20 years of experience teaching programming and data visualization. With a deep understanding of the hurdles that students face when learning MATLAB, I have designed this course not just to teach MATLAB, but to build strong, transferable programming skills. My teaching is complemented by ChatGPT, which is available for interactive programming help and guidance.

By the end of this course, you will not only be proficient in MATLAB programming, but also develop a strong understanding of scientific coding principles. Above all, you will learn how to work in tandem with AI tools like ChatGPT to enhance your coding skills and productivity.

So why wait?Enroll now and embark on a transformative journey of learning MATLAB with ChatGPT. I hope to see you soon in the course.

Course Curriculum

Chapter 1: Introductions

Lecture 1: How to get the most from this course

Lecture 2: How to use the Q&A forum

Lecture 3: MATLAB and Octave

Lecture 4: What is debugging and what is programming style?

Chapter 2: Intro to ChatGPT

Lecture 1: What is ChatGPT?

Lecture 2: Accessing ChatGPT

Lecture 3: ChatGPT and this course

Chapter 3: Download all course materials

Lecture 1: How to get the MATLAB files

Chapter 4: The MATLAB desktop environment

Lecture 1: The MATLAB desktop environment

Lecture 2: MATLAB as a calculator, colon operator

Lecture 3: Solve some MATLAB exercises!

Lecture 4: Ask ChatGPT MATLAB questions

Chapter 5: Variables

Lecture 1: What are variables?

Lecture 2: Variables for numbers

Lecture 3: Indexing number arrays

Lecture 4: Variables for strings

Lecture 5: Variables for logicals (Booleans)

Lecture 6: Variables for structures

Lecture 7: Variable naming rules and recommendations

Lecture 8: ChatGPT translates natural language into code

Chapter 6: Scripts and functions, part 1

Lecture 1: Scripts and functions; organization

Lecture 2: Function inputs and outputs

Lecture 3: Getting help on functions

Lecture 4: Comments, cells, spacing

Lecture 5: Creating functions

Lecture 6: The MATLAB path

Lecture 7: Parameters and hard-coding vs. soft-coding

Lecture 8: ChatGPT can improve your code

Chapter 7: Getting data into and out of MATLAB

Lecture 1: Copy-paste, loading MATLAB format files, Excel, and image files

Lecture 2: Exporting data in MATLAB, text, and Excel formats

Chapter 8: Control statements

Lecture 1: Control statement architecture; if and switch commands

Lecture 2: For-loops

Lecture 3: While-loops

Lecture 4: ChatGPT helps you choose which loop to use

Lecture 5: Try-catch statements

Lecture 6: Application (1 of 2): import data

Lecture 7: Application (2 of 2): export data

Lecture 8: Exercise: Create a matrix of random integers

Lecture 9: Exercise: Guess the number!

Lecture 10: ChatGPT for translating code languages

Chapter 9: Visualizing data and functions

Lecture 1: The importance of visualization; figure parts

Lecture 2: Exercise: mo subplots, mo problems!

Lecture 3: Plotting lines in 2D and in 3D

Lecture 4: Making bar plots with error bars

Lecture 5: imagesc, contourf, and surf

Lecture 6: Improve your figure with get and set

Lecture 7: Exercise: Find the fix the problems!

Chapter 10: Functions, part 2

Lecture 1: Miniverses; stepping into functions

Lecture 2: Input checks on basicstats.m

Lecture 3: Creating functions, example II

Lecture 4: Creating functions: unique elements and frequencies

Lecture 5: Anonymous functions

Lecture 6: Exercise: anonymous function of two variables!

Lecture 7: Set your preferences in startup.m and finish.m

Lecture 8: ChatGPT explains code in plain English

Chapter 11: Debugging

Lecture 1: Types of programming difficulties, and tips for preventing errors

Lecture 2: The FIP (find, inspect, plot) strategy for debugging

Lecture 3: Examples of common programming errors

Lecture 4: MATLAB profiler

Lecture 5: Why learn to code when you have ChatGPT?

Chapter 12: Bonus section

Lecture 1: Bonus lecture

Instructors

Mike X Cohen
Educator and writer

Rating Distribution

1 stars: 6 votes

2 stars: 17 votes

3 stars: 56 votes

4 stars: 372 votes

5 stars: 826 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!