MATLAB Programming

MATLAB Programming course is offered by Power Integrated Solutions. Our team has more than 10+ years of experience in the field of embedded-based application designing, product development, project training, and course training so.

Syllabus:

• Module-I: Scripts and variables
• Getting started – Scripts – Making variables – Variable types – Scalars- arrays – Matrices- operations with variables- Basic plotting 
• Experiment (s):
• Addition, Subtraction, multiplication, division, inverse operations on matrices with different order . Removing Rows or Columns from a Matrix.
• Plotting waveforms for trigonometric functions.
• Module-II: Visualization and Programming
• Functions –Relational operators – IF / ELSE / ELSEIF Loops – FOR/ WHILE Loops – Flow control – Line Plots – Image/ Surface Plots – Effective Codes- Vectorization – preallocation-  Display- Debugging.
• Experiment (s):
• a) Find the first 20 prime numbers  b) if the input number is prime or not identification c) Count EVEN and ODD numbers
•  Solution to mathematical methods (iterative techniques) .
• Module-III: Solving Equations, Curve Fitting, and Numerical Techniques
• Linear Algebra – Polynomials – operation and fitting – Optimization – Differentiation – integration – differential Equations.
• Experiment (s):
• Operations on polynomial equations
• Solution to simple optimization problem
• Solution to integration and differential Equations
• Module-IV :Advanced Methods
• Probability and statistics –Probability- Changing Mean and Variance – Data Structures -Cells: organization- initialization- Struct Arrays – Images – Reading/Writing Images – File I/O – Writing Excel Files – Reading Excel Files Various functions and toolboxes : Miscellaneous Matlab – Making GUIs – Draw the GUI – Add Functionality to M-File – GUI Helper Functions
• Experiment (s):
• Operations on Probability , statistics and Data Structures
• Reading/Writing Images
• Writing and Reading Excel Files
• Module-V: SIMULINK
• Simulink-  Simulink Library Browser- Connections, Block Specification – Symbolic Toolbox-  Symbolic Variables – Symbolics- Image Processing – Filtering and Deblurring- Hardware Interface
• Experiment (s):
• Simulink for Bouncing Ball Model
• Simulink for Symbolics
• Image processing : Contrast Improvement, Edge Detection
• Image processing : Filtering and Deblurring