Introduction to Programming with MATLAB

Course Feature
  • Cost
    Free
  • Provider
    ThaiMOOC
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    15th May, 2023
  • Learners
    No Information
  • Duration
    35.00
  • Instructor
    Akos Ledeczi et al.
Next Course
3.0
0 Ratings
This course introduces students to the powerful programming system and language MATLAB. Students learn to write powerful programs in a few lines, making it an invaluable skill in today's job market. MATLAB is used to solve complex problems in a variety of fields, giving students the skills to succeed in their chosen fields.
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Course Overview

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

Updated in [March 06th, 2023]

Introduction to Programming with MATLAB is a course designed to teach computer programming to those with little to no previous experience. MATLAB is used as the programming system and language due to its ease of use, versatility, and usefulness for engineers and other professionals. Through this course, students will become familiar with general concepts in computer science, gain an understanding of the general concepts of programming, and obtain a solid foundation in the use of MATLAB. A MATLAB Online license will be provided free of charge for the duration of the course, and students are encouraged to consult the eBook that this course is based on.

[Applications]
Upon completion of this course, students should be able to apply the concepts and skills learned to solve problems in their respective fields. They should be able to use MATLAB to write programs that can manipulate numbers, create graphical displays, and solve problems. They should also be able to use MATLAB to develop algorithms and to debug and optimize their programs. Furthermore, they should be able to use MATLAB to develop applications for engineering, science, and business.

[Career Paths]
1. Data Scientist: Data Scientists use MATLAB to analyze and interpret data, develop predictive models, and create visualizations. They are responsible for understanding the data, developing algorithms, and creating reports and presentations. As the demand for data-driven decision making increases, the need for Data Scientists is expected to grow.

2. Software Engineer: Software Engineers use MATLAB to develop software applications and systems. They are responsible for designing, coding, testing, and debugging software applications. With the increasing demand for software applications, the need for Software Engineers is expected to grow.

3. Machine Learning Engineer: Machine Learning Engineers use MATLAB to develop and deploy machine learning models. They are responsible for designing, coding, testing, and deploying machine learning models. With the increasing demand for machine learning applications, the need for Machine Learning Engineers is expected to grow.

4. Robotics Engineer: Robotics Engineers use MATLAB to develop and deploy robotic systems. They are responsible for designing, coding, testing, and deploying robotic systems. With the increasing demand for robotic applications, the need for Robotics Engineers is expected to grow.

[Education Paths]
1. Bachelor of Science in Computer Science: A Bachelor of Science in Computer Science is a four-year degree program that provides students with a comprehensive understanding of computer science principles and their application. This degree program typically includes courses in programming, software engineering, computer architecture, operating systems, data structures, algorithms, and artificial intelligence. With the increasing demand for computer science professionals, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.

2. Master of Science in Computer Science: A Master of Science in Computer Science is a two-year degree program that provides students with a more advanced understanding of computer science principles and their application. This degree program typically includes courses in advanced programming, software engineering, computer architecture, operating systems, data structures, algorithms, artificial intelligence, and machine learning. With the increasing demand for computer science professionals, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.

3. Doctor of Philosophy in Computer Science: A Doctor of Philosophy in Computer Science is a four-year degree program that provides students with a comprehensive understanding of computer science principles and their application. This degree program typically includes courses in advanced programming, software engineering, computer architecture, operating systems, data structures, algorithms, artificial intelligence, and machine learning. With the increasing demand for computer science professionals, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.

4. Master of Science in Artificial Intelligence: A Master of Science in Artificial Intelligence is a two-year degree program that provides students with a comprehensive understanding of artificial intelligence principles and their application. This degree program typically includes courses in advanced programming, software engineering, computer architecture, operating systems, data structures, algorithms, artificial intelligence, and machine learning. With the increasing demand for artificial intelligence professionals, this degree path is becoming increasingly popular and is expected to continue to grow in the coming years.

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