Learn MATLAB using Octave-online

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Cost

Free
Provider

Udemy
Certificate

No Information
Language

English
Start Date

No Information
Learners

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Duration

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Instructor

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2.0

11,500 Ratings

Octave-online provides an easy way to learn MATLAB programming without the need for installation. It is an ideal solution for those looking to get started with MATLAB without the hassle of downloading software.

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

This course provides an overview of MATLAB programming using the Octave-online emulator. Participants will learn how to use the online emulator to learn the MATLAB programming language. They will also learn how to use Octave-online as a tool for learning MATLAB. By the end of the course, participants will have a better understanding of the MATLAB programming language and how to use Octave-online to help them learn it.

[Applications]
After completing this course, students should be able to apply their knowledge of MATLAB to a variety of tasks. They should be able to use Octave-online to create and debug MATLAB programs, as well as to visualize data. Additionally, they should be able to use MATLAB to solve problems in a variety of fields, such as engineering, mathematics, and science. Finally, they should be able to use MATLAB to create graphical user interfaces for their programs.

[Career Paths]
1. Data Scientist: Data Scientists use MATLAB to analyze and interpret data, develop predictive models, and create visualizations. They are also responsible for developing algorithms and software to automate data analysis tasks. With the increasing demand for data-driven decision making, the demand for Data Scientists is expected to grow significantly in the coming years.

2. Machine Learning Engineer: Machine Learning Engineers use MATLAB to develop and deploy machine learning models. They are responsible for designing, building, and testing machine learning algorithms and systems. With the increasing demand for AI-driven solutions, the demand for Machine Learning Engineers is expected to grow significantly in the coming years.

3. Robotics Engineer: Robotics Engineers use MATLAB to design, build, and test robots. They are responsible for developing algorithms and software to control robots and automate tasks. With the increasing demand for automation, the demand for Robotics Engineers is expected to grow significantly in the coming years.

4. Automation Engineer: Automation Engineers use MATLAB to develop and deploy automation systems. They are responsible for designing, building, and testing automation systems. With the increasing demand for automation, the demand for Automation Engineers is expected to grow significantly in the coming years.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming languages, algorithms, data structures, operating systems, and software engineering. Students will also learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing.

2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. Students will learn about data mining, machine learning, and predictive analytics, as well as how to use MATLAB and Octave-online to analyze data.

3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and the application of artificial intelligence techniques to solve complex problems. Students will learn about machine learning, natural language processing, and computer vision, as well as how to use MATLAB and Octave-online to develop AI applications.

4. Doctor of Philosophy in Computer Science: This degree path provides students with an in-depth understanding of computer science and its applications. Students will learn about advanced topics such as artificial intelligence, machine learning, and data science, as well as how to use MATLAB and Octave-online to develop sophisticated applications.

Course Syllabus

Why learn Octave and why OctaveOnline?

Website, logging in, and the layout

Writing code in scripts

Application: for loops

Application: nonlinear function minimization

Real-time Octave-online sharing

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Pros & Cons

Gets you up and running quickly, straightforward and easy to follow, excellent teacher, great introduction to Matlab, good for beginners, great, easy to follow and understand.

Starts off too advanced, not what was expected.

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