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
Apply Online
[A]. MATLAB Contents
| 1. Introduction to Matlab |
 Matlab Interactive Sessions |
| Menus and the toolbar |
| Computing with Matlab |
| Script files and the Editor Debugger |
| Matlab Help System |
| Programming in Matlab |
| 2.Arrays |
| Arrays
|
| Multidimensional Arrays |
| Element by Element Operations |
| Polynomial Operations Using Arrays
|
| Cell Arrays |
| Structure Arrays |
| 3. Functions & Files |
| Elementary Mathematical Functions |
| User Defined Functions |
| Advanced Function Programming |
| Working with Data Files |
| 4.Programming Techniques |
| Program Design and Development
|
| Relational Operators and Logical Variables |
| Logical Operators and Functions |
| Conditional Statements |
| Loops |
| The Switch Structure |
| Debugging MatLab Programs |
| 5. Plotting |
| XY- plotting functions |
| Subplots and Overlay plots |
| Special Plot types |
| Interactive plotting |
| Function Discovery |
| Regression |
| 3-D plots |
| 6.Linear Algebraic Equations |
| Elementary Solution Methods |
| Matrix Methods for (LE) |
| Cramer’s Method |
| Undetermined Systems |
| Order Systems |
| 7.Probability and Statistics |
| Interpolation |
| Statistics, Histogram and probability |
| The Normal Distribution |
| . Random number Generation |
| Interpolation |
| 8.Symbolic Processing With Matlab |
| Symbolic Expressions and Algebra |
| Algebraic and Transcendental Equations |
| Calculus |
| Symbolic Linear Algebra |
| 9. Image Processing |
| Vector Graphics |
| . Morphological Image Processing |
| 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
- Be able to do simple and complex calculation using Matlab
- Be able to carry out numerical computations and analyses
- Understand the mathematical concepts upon which numerical methods rely
- Ensure you can competently use the Matlab programming environment
- Understand the tools that are essential in solving engineering problems
- MATLAB has several advantages over other methods or languages
- 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.
- Vectorized operations. Adding two arrays together needs only one command, instead of a for or while loop.
- 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
- Matlab’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.