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MATLAB is a high-level programming language and environment developed by MathWorks, primarily used for numerical computation, data analysis, algorithm development, and visualization. It's widely used in engineering, science, and related fields for tasks like matrix operations, algorithm development, and creating user interfaces


Key Features and Functionality :


Course Details

1. Introduction to MATLAB

  • Overview of MATLAB environment
  • MATLAB interface and workspace
  • Basic commands and syntax
  • Variables, data types, and operators
  • Scripts and functions

  • Creating and manipulating vectors
  • Matrix operations and indexing
  • Element-wise operations
  • Special matrices (identity, zeros, ones, etc.)
  • Transpose, inverse, and determinant of matrices

  • Conditional statements (if, else, switch)
  • Loop structures (for, while)
  • Logical operations
  • Handling exceptions with try-catch

  • Creating and calling functions
  • Function inputs and outputs
  • Anonymous and nested functions
  • Debugging and breakpoints
  • File management and path settings

  • Importing and exporting data (Excel, CSV, Text)
  • Working with tables and structures
  • Plotting:
    • 2D plots (plot, bar, scatter, pie)
    • 3D plots (mesh, surf, contour)
    • Customizing plots (labels, legends, grid)
  • Subplots and multiple figures

  • Solving linear equations (A\b operator)
  • Eigenvalues and eigenvectors
  • Interpolation and curve fitting
  • Numerical differentiation and integration

  • Introduction to signals in MATLAB
  • Fourier Transform (fft)
  • Filtering techniques (low-pass, high-pass)
  • Convolution and correlation

  • Reading and displaying images
  • Image transformations and filtering
  • Edge detection and segmentation
  • Morphological operations

  • Introduction to Simulink
  • Building models and simulations
  • Creating GUI using App Designer
  • Adding interactive elements
  • Introduction to MATLAB’s Machine Learning Toolbox
  • Data preprocessing and feature engineering
  • Training and evaluating ML models
  • Neural networks and deep learning basics


Fees Structure : 15500 INR / 180 USD
Total No of Class : 74 Video Class
Class Duration : 65:00 Working Hours
Download Feature : Download Avalable
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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Fees Structure : 22000 INR / 255 USD
Class Duration : 40 Days
Class Recording : Live Class Recording available
Class Time : Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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