This MATLAB Fundamentals training is designed to provide participants with a strong foundation in MATLAB for numerical computing, data analysis, and engineering applications. The course covers MATLAB environment basics, matrix operations, scripting and functions, data visualization, data import and export, and introductory signal and numerical analysis concepts. Participants will gain hands-on experience to solve engineering, scientific, and analytical problems using MATLAB efficiently.

• Understand the syntax, environment, and core programming concepts of MATLAB for technical and scientific computing.
• Set up and configure the MATLAB environment, toolboxes, and development workspace for programming tasks.
• Design scripts, functions, and data processing workflows using MATLAB programming approaches.
• Implement matrix operations, data visualization, and numerical analysis techniques effectively.
• Debug, test, and optimize MATLAB programs for performance, accuracy, and maintainability.
• Build scalable, reusable, and production-ready computational solutions using MATLAB best practices.

 • Engineering and science students
 • Researchers and academicians
 • Data analysts and quantitative professionals
 • Professionals using MATLAB for technical computing
 • Beginners starting with MATLAB

 • Basic understanding of mathematics and algebra
 • Familiarity with any programming or scripting language is helpful
 • Basic computer operation skills

 • Navigating and using the MATLAB environment
 • Working with matrices and arrays
 • Writing MATLAB scripts and functions
 • Creating data visualizations and plots
 • Importing and exporting data
 • Performing numerical computations
 • Debugging and optimizing MATLAB code
 • Applying MATLAB for engineering and analytical tasks

By the end of this training, participants will be able to use MATLAB confidently for numerical computing, data analysis, and engineering problem solving. Learners will gain strong fundamentals in MATLAB programming, visualization, and numerical methods, enabling them to apply MATLAB effectively in academic, research, and professional environments.

Introduction to MATLAB & Environment
 • What is MATLAB and where it is used
 • MATLAB desktop and interface overview
 • Command window and editor usage
 • Managing files and workspace

MATLAB Language Basics
 • Variables and data types
 • Vectors and matrices
 • Basic operators
 • Built-in mathematical functions

Scripts & Control Flow
 • Writing MATLAB scripts
 • if, else, and switch statements
 • for and while loops
 • Basic input and output

Data Visualization Fundamentals
 • Creating 2D plots
 • Customizing plots
 • Labels, legends, and titles
 • Saving and exporting figures

Functions & Modular Programming
 • Writing user-defined functions
 • Function inputs and outputs
 • Function files and scope
 • Reusable code design

Data Import & Export
 • Reading data from files
 • Importing CSV and Excel files
 • Exporting results
 • Working with different data formats

Matrix Operations & Linear Algebra Basics
 • Matrix multiplication and inversion
 • Solving linear equations
 • Eigenvalues and eigenvectors basics
 • Numerical linear algebra concepts

Working with Data Structures
 • Cell arrays
 • Structures
 • Tables
 • Managing heterogeneous data

Numerical Methods Basics
 • Root finding methods
 • Numerical integration
 • Numerical differentiation
 • Solving ordinary differential equations basics

Signal & Data Analysis Introduction
 • Basic signal processing concepts
 • Filtering basics
 • Time-domain and frequency-domain analysis
 • Introduction to FFT

Debugging & Performance Optimization
 • Debugging tools in MATLAB
 • Profiling MATLAB code
 • Improving code performance
 • Memory management basics

Introduction to Toolboxes & Applications
 • Overview of common MATLAB toolboxes
 • Using toolboxes for engineering applications
 • Integrating MATLAB with other tools
 • Application-specific examples

MATLAB Best Practices & Project Workshop
 • Coding standards and documentation
 • Organizing MATLAB projects
 • Building a small MATLAB project
 • Final project review and best practices

• MATLAB Setup & Programming Fundamentals
• Syntax, Variables & Workspace Management
• Scripts, Functions & Matrix Operations
• Data Analysis, Visualization & Numerical Computing
• Testing, Debugging & Performance Optimization
• End-to-End MATLAB Application Development Project

Participants will be evaluated through hands-on MATLAB labs, practical numerical computing exercises, instructor-led code reviews, and a final project-based assessment focused on solving real-world MATLAB problems.

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for MATLAB Fundamentals. This digital, verifiable certification validates practical MATLAB programming and numerical computing skills and can be shared on LinkedIn and included in professional profiles to enhance academic and career credibility.