MATLAB

Course Information

Duration: 36 Weeks

Time 1 Hour/Week

CI Code: CODE101

Location: Virtual, Live

Course Fee: Free With Membership / $199 Without Membership

Start Date: Course Schedule Below

Course Time: Check Registration

Student Age Eligibility: 8 - 17 Years

CI Courses

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Expert teachers

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Virtual Students

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Why Coding Institute

Study MATLAB Programming with CI

Objective: This course introduces students to MATLAB, a powerful tool widely used in engineering, research, and data analysis. Through lectures and hands-on exercises, students will explore MATLAB’s core concepts and real-world applications, bridging theoretical knowledge with practical problem-solving skills.

Methods: Students will master MATLAB syntax, matrix manipulation, and script development for task automation. The course emphasizes data visualization and analysis, enabling students to interpret and present data effectively using MATLAB’s graphical tools.

Skills Gained: By course completion, students will have a strong foundation in MATLAB programming and problem-solving techniques. Practical projects will build confidence in applying MATLAB to diverse challenges, preparing students for academic and professional success.

Understand the fundamentals of MATLAB syntax and the workspace environment.
Apply programming techniques to solve mathematical and engineering problems.
Use MATLAB for data analysis and visualization.
Develop custom functions and scripts to automate tasks.
Interpret and present data effectively using graphical methods.

Available Start Dates & Times

* ALL COURSES ARE 1 HOUR LONG AND FOLLOW EASTERN TIME

Course Details

This Class is a Virtual Live Class

Modules

The modules listed below are those currently intended for delivery in the current academic intake of this course. These may be subject to change in future years as the University regularly revises.

Semester 1

Weeks 1 - 12: Introduction to MATLAB

Topics: Overview of MATLAB environment, basics of MATLAB syntax, and file management, matrix operations, operators, parameter passing.

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Semester 2

Weeks 1 - 12: Data Import and Export

Topics: Importing data from external files, exporting results, and data types, customization of plots, color maps, regression analysis.

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Semester 3

Weeks 1 - 12: Image Processing Basics

Topics: Image data types, reading images, and basic image manipulation, linear programming, simple simulations, career insights.

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Careers

Learning Outcomes

By the end of this course, students will be able to:

Write, debug, and execute MATLAB code for various applications.
Design scripts and functions to solve engineering and scientific problems.
Perform data analysis and visualize data using MATLAB’s plotting tools.
Apply matrix operations and mathematical functions to analyze data.
Utilize MATLAB to create user-friendly interfaces and automation workflows.

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Highlights

Comprehensive Learning:

Detailed study for foundational learning and development in coding.

Interactive Learning:

Virtual labs, simulations, and real-world case studies.

Expert Instruction:

Live teaching from experienced professionals in the field.

Career Preparation:

Foundation for advanced studies and careers in coding.

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Code Institute uniquely designed to provide the coding experience to students aged 8 – 17. CI does not discriminate on the basis of race, national origin, gender, or disability.