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Updated in [March 06th, 2023]

This course introduces students to the fundamentals of computer programming using MATLAB. Students will learn about variables, control structures, functions, and other basic programming concepts. Additionally, students will explore different data types and how to work with them in MATLAB, as well as how MATLAB can help them work with matrices. Finally, the course will cover file input/output.

[Applications]
After completing this course, students should be able to apply the concepts learned to create programs in MATLAB. They should be able to use variables, control structures, functions, and other fundamental computer programming concepts to create programs. Additionally, they should be able to work with different data types and matrices in MATLAB, as well as use file input/output.

[Career Paths]
1. Data Scientist: Data Scientists use MATLAB to analyze large datasets and uncover trends and insights. They use the programming language to develop algorithms and models to help businesses make better decisions. As data becomes increasingly important in the modern world, the demand for Data Scientists is expected to continue to grow.

2. Software Engineer: Software Engineers use MATLAB to develop software applications and systems. They use the language to create user interfaces, debug code, and optimize performance. With the increasing demand for software applications, the demand for Software Engineers is expected to remain strong.

3. Machine Learning Engineer: Machine Learning Engineers use MATLAB to develop algorithms and models for machine learning applications. They use the language to create and train models, optimize performance, and debug code. As machine learning becomes increasingly important in the modern world, the demand for Machine Learning Engineers is expected to continue to grow.

4. Robotics Engineer: Robotics Engineers use MATLAB to develop algorithms and models for robotic applications. They use the language to create and train models, debug code, and optimize performance. With the increasing demand for robotics applications, the demand for Robotics Engineers is expected to remain strong.

[Education Paths]
1. Computer Science Degree: A computer science degree is a great way to learn the fundamentals of programming and software development. This degree will provide learners with the skills to develop software applications, create algorithms, and understand computer systems. Additionally, learners will gain an understanding of the latest trends in technology and how to apply them to their work.

2. Software Engineering Degree: A software engineering degree is a great way to learn the principles of software development and design. Learners will gain an understanding of the software development process, from design to implementation. Additionally, learners will learn how to create software applications, develop algorithms, and debug software.

3. Data Science Degree: A data science degree is a great way to learn the fundamentals of data analysis and machine learning. Learners will gain an understanding of the principles of data analysis, from data collection to data visualization. Additionally, learners will learn how to use MATLAB to analyze data and create predictive models.

4. Artificial Intelligence Degree: An artificial intelligence degree is a great way to learn the fundamentals of artificial intelligence and machine learning. Learners will gain an understanding of the principles of artificial intelligence, from natural language processing to computer vision. Additionally, learners will learn how to use MATLAB to create AI applications and develop algorithms.

Course Syllabus

Running MATLAB

The MATLAB Desktop

MATLAB as a Calculator

Syntax and Semantics

Help

Plotting