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:
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Understand the MATLAB desktop environment and how to use MATLAB as a calculator
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Learn about different types of variables including numbers, strings, logic, and structures
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Gain insights into the organization of scripts and functions, and the significance of function inputs and outputs
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Develop skills to read and write data in MATLAB, text, and Excel formats
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Master control statements such as if-else, for-loops, and while-loops
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Learn about data visualization and figure plotting in MATLAB
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Get introduced to coding errors and debugging strategies, including the FIP (find, inspect, plot) strategy
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And much more…
Course highlights:
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Detailed explanations of core MATLAB concepts with clear, visual examples
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Plenty of hands-on exercises and practical applications to solidify your understanding
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Interactive guidance from ChatGPT to assist with coding problems, debugging, and understanding complex concepts
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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
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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!
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