Advanced MATLAB Course Details

MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation.

MATLAB is a multi-paradigm numerical computing environment and a programming language of the fourth generation. MATLAB, a proprietary programming language developed by MathWorks, enables matrix manipulation, function and data plotting, algorithm implementation, user interface creation and interfacing with programs written in other languages, including C, C++, C #, Java, Fortran and Python.
While MATLAB is primarily intended for numerical computing, the symbolic engine is used by an optional toolbox, allowing access to symbolic computing capabilities. An additional package, Simulink, adds dynamic and embedded systems with graphical multi-domain simulation and model-based design.
MATLAB language is the most important language in calculation and scientific research. Anybody who wants to make accurate and optimal calculations should learn MATLAB so it is crucial for you to learn it. During this course you learn Advanced Features of MATLAB. You also learn how to use MATLAB to write Programs and advanced 2 and 3 Dimensional graphics.
You can write MATLAB programs at the end of this course and each Advanced Features added to it in this course. You can write your own programs and create your 2 and 3 dimensional graphics without any problem after learning Advanced features of the MATLAB programming language.
You will also learn advance features of complex numbers, graphics, and trigonometric functions such as real & complex number image, plot & plot3 functions, and trigonometric inverse functions. By learning them, you can easily and effectively make ad vanced calculations and solve your problems.


Advanced MATLAB Course Highlights

Course Duration

1 Month
8 Weekends

Learners

50000

Delivery Mode

Class Room Training

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WHO WILL BENEFIT

Engineering Students.Embedded Developers
Working Professionals
Industry Experts
Post Graduate Students
Enthusiasts
People looking to enhance their Skillsets

COURSE CURRICULUM

[A]. MATLAB Contents

1. Introduction to Matlab
Alt TextMatlab Interactive Sessions
Alt Text Menus and the toolbar
Alt Text Computing with Matlab
Alt TextScript files and the Editor Debugger
Alt Text Matlab Help System
Alt Text Programming in Matlab
2.Arrays
Alt Text Arrays
Alt TextMultidimensional Arrays
Alt TextElement by Element Operations
Alt Text Polynomial Operations Using Arrays
Alt Text Cell Arrays
Alt Text Structure Arrays
3. Functions & Files
Alt Text Elementary Mathematical Functions
Alt Text User Defined Functions
Alt Text Advanced Function Programming
Alt Text Working with Data Files
4.Programming Techniques
Alt Text Program Design and Development
Alt TextRelational Operators and Logical Variables
Alt Text Logical Operators and Functions
Alt Text Conditional Statements
Alt TextLoops
Alt TextThe Switch Structure
Alt Text Debugging MatLab Programs
5. Plotting
Alt Text XY- plotting functions
Alt Text Subplots and Overlay plots
Alt TextSpecial Plot types
Alt Text Interactive plotting
Alt Text Function Discovery
Alt TextRegression
Alt Text 3-D plots
6.Linear Algebraic Equations
Alt Text Elementary Solution Methods
Alt Text Matrix Methods for (LE)
Alt TextCramer’s Method
Alt Text Undetermined Systems
Alt TextOrder Systems
7.Probability and Statistics
Alt TextInterpolation
Alt Text Statistics, Histogram and probability
Alt Text The Normal Distribution
Alt Text. Random number Generation
Alt TextInterpolation
8.Symbolic Processing With Matlab
Alt TextSymbolic Expressions and Algebra
Alt TextAlgebraic and Transcendental Equations
Alt TextCalculus
Alt TextSymbolic Linear Algebra
9. Image Processing
Alt TextVector Graphics
Alt Text. Morphological Image Processing
Alt Text Filtering
10. Basic Design in Simulink
11.Sample Programs in Simulink
12.Image Processing Toolbox
13.Control System Toolbox
14.Interfacing hardware with Simulink
MATLAB
  • Objectives
  • Understand the Matlab Desktop, Command window and the Graph Window
  • Alt TextBe able to do simple and complex calculation using Matlab
  • Alt TextBe able to carry out numerical computations and analyses
  • Alt TextUnderstand the mathematical concepts upon which numerical methods rely
  • Alt Text Ensure you can competently use the Matlab programming environment
  • Alt Text Understand the tools that are essential in solving engineering problems
  • MATLAB has several advantages over other methods or languages
  • Alt Text Its basic data element is the matrix. A simple integer is considered an matrix of one row and one column.  Several mathematical operations that work on arrays or matrices are built-in to the Matlab environment. For example, cross-products, dot-products, determinants, inverse matrices.
  • Alt TextVectorized operations. Adding two arrays together needs only one command, instead of a for or while loop.
  • Alt Text The graphical output is optimized for interaction. You can plot your data very easily, and then change colors, sizes, scales, etc, by using the graphical interactive tools
  • Alt TextMatlab’s functionality can be greatly expanded by the addition of toolboxes. These are sets of specific functions that provided more specialized functionality. Ex: Excel link allows data to be written in a format recognized by Excel, Statistics Toolbox allows more specialized statistical manipulation of data (Anova, Basic Fits, etc)














MATLAB Description

MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar noninteractive language such as C or Fortran. The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects, which together represent the state-of-the-art in software for matrix computation. MATLAB has evolved over a period of years with input from many users. In university environments, it is the standard instructional tool for introductory and advanced courses in mathematics, engineering, and science. In industry, MATLAB is the tool of choice for high-productivity research, development, and analysis. MATLAB features a family of application-specific solutions called toolboxes. Very important to most users of MATLAB, toolboxes allow you to learnand apply specialized technology. Toolboxes are comprehensive collections of MATLAB functions (M-files) that extend the MATLAB environment to solve particular classes of problems. Areas in which toolboxes are available include signal processing, control systems, neural networks, fuzzy logic, wavelets, simulation, and many others.