MATLAB Training β Master
Computational Thinking and Engineering Solutions
π Introduction
MATLAB (Matrix Laboratory) is a high-level programming environment widely used
in engineering, data science, mathematics, signal processing, image processing,
control systems, and artificial intelligence (AI). It provides a powerful
combination of mathematical functions, visualization tools, and programming
capabilities, enabling professionals to develop algorithms, simulate real-world
systems, and analyze large-scale data.
π
Technical Modules Covered
1.
Mat lab Fundamentals
Introduction to MATLAB environment & interface
Working with MATLAB scripts, functions, and toolboxes
Understanding matrices, arrays, and mathematical operations
2.
Data Handling & Visualization
Data input/output from various sources (Excel, databases, sensors)
2D and 3D plotting, graphing functions, and customized visualizations
Statistical analysis & data preprocessing
3.
Programming with MATLAB
Variables, operators, control statements (loops, conditions)
Functions, scripts, and modular programming
Debugging and performance optimization
4.
Signal & Image Processing
Digital signal processing (DSP) fundamentals
Fourier transforms, filtering, and spectrum analysis
Image enhancement, feature extraction, and object recognition
π―
Why Choose Our MATLAB Training?
β
Comprehensive curriculum β from basics to advanced applications
β
Hands-on labs with engineering datasets
& real-world problems
β
Industry tools & toolboxes β
Simulink, DSP toolbox, Image Processing toolbox, Machine Learning toolbox
β
Expert-led sessions by engineers
& researchers with domain expertise
β
Career-focused β Build project
portfolios applicable in engineering & research
π
Who Should Enroll?
π Students & Researchers in engineering, physics, and applied
sciences
π§βπ» Engineers & Developers working in aerospace,
automotive, electronics, or biomedical domains
πΌ Data Scientists & Analysts seeking advanced computation tools
π Academicians & Innovators looking to integrate MATLAB into
research projects
π Career Outcomes
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