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.


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
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.