MatLab Training

Matlab Training Classes Kanpur

What is "MatLab" ?

MatLab is an exclusive programming language from Math Works, and it is highly used for technical computing, specifically in matrix and vector formulations. It is a scripting tool for robotics engineering to solve scientific and research problems. There is no need to build in MatLab and test the algorithms allowed quickly. When students conduct their research with high productivity, the best IT training Institute in Kanpur turns out that the best options. A lot of businesses ranging from banking, finance, and engineering sector requires the application of MatLab and are on a lookout for professionals to increase their productivity.

MatLab Training Institute in Kanpur helps to become familiar with the nuances of the MatLab course, from simple calculations complicated simulations. Related technologies such as Simulink also encompassed her. Magix solution in Kanpur takes you through the many toolboxes reducing the ratio of the work difficult.

MatLab is consisting of many packages and can be accessed image processing, Linear Algebra, and Statistics for machine learning purposes. It is easy to get the result in very little time. Magix solution is providing the Best MatLab Training Kanpur so that the candidate gets placed in the job without any stumbling block. These stumbling blocks are nothing but communication, attitude, and aptitude; Magix solution prepares the candidates to overcome these blocks.

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Course Structure

  • Brief Introduction
  • Installation of MATLAB
  • History
  • Use of MATLAB
  • Key features
  • Introduction to MATLAB Software
  • MATLAB window
  • Command window
  • Workspace
  • Command history
  • Setting directory
  • Working with the MATLAB user interface
  • Basic commands
  • Assigning variables
  • Operations with variables
  • Character and string
  • Arrays and vectors
  • Column vectors
  • Row vectors
  • BODMAS Rules
  • Arithmetic operations
  • Operators and special characters
  • Mathematical and logical operators
  • Solving arithmetic equations
  • Crating rows and columns Matrix
  • Matrix operations
  • Finding transpose, determinant and inverse
  • Solving matrix
  • Trigonometric functions
  • Complex numbers
  • Fractions
  • Real numbers
  • Complex numbers
  • Working with script tools
  • Writing Script file
  • Executing script files
  • The MATLAB Editor
  • Saving m files
  • Plotting vector and matrix data
  • Plot labelling, curve labelling and editing
  • Basic Plotting Functions
  • Creating a Plot
  • Plotting Multiple Data Sets in One Graph
  • Specifying Line Styles and Colors
  • Graphing Imaginary and Complex Data
  • Figure Windows
  • Displaying Multiple Plots in One Figure
  • Controlling the Axes
  • Creating Mesh and Surface
  • About Mesh and Surface Visualizing
  • Subplots
  • Introduction Of Graphical User Interface
  • GUI Function Property
  • GUI Component Design
  • GUI ContainerWriting the code of GUI Callback
  • Dialog Box
  • Menu Designing
  • Applications
  • Introduction Of Simulink
  • Simulink Environment & Interface
  • Study of Library
  • Circuit Oriented Design
  • Equation Oriented Design
  • Model
  • Subsystem Design
  • Connect Call back to subsystem
  • Application
  • Automating commands with scripts
  • Writing programs with logic and flow control
  • Writing functions
  • Control statement Programming
  • Conditional Statement Programming
  • Examples
  • Control Flow Conditional Control — if, else, switch
  • Loop Control — for, while, continue, break
  • Program Termination — return
  • Writing user-defined functions
  • Built-in Function
  • Function calling
  • Return Value
  • Types of Functions
  • Global Variables
  • Importing and Visualizing Images
  • Importing and displaying images
  • Converting between image types
  • Exporting images
  • Interactive Exploration of Images
  • Obtaining pixel intensity values
  • Extracting a region of interest
  • Computing pixel statistics
  • Measuring object sizes
  • Creating a custom interactive tool
  • Preprocessing Images
  • Adjusting image contrast
  • Reducing noise in an image
  • Using sliding neighborhood operations
  • Using block processing operations
  • Calculus: Numerical Integration
  • Linear Algebra
  • Roots of Polynomials
  • Algebraic equations
  • Differential Equations (1st & 2nd order)
  • Transforms (Fourier, Laplace, etc)
  • Ordinary Differential equations
  • Examples of few ODEs
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