Matlab Training

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  • Course Code: PGMAT
  • Affilaited: Govt Of India
  • Duration: 15 Days
  • Projects : Yes
  • Skill Level: All
  • Languages: English
  • Softskill: Mandatory
  • Assessments: Self
  • Regular Batch: Mo - Fr
  • Weekend Batch: Sat & Sun

Description

This course covers the evolution of data connectivity from proprietary data connectivity and custom protocol translation. The course also provides an overview of the OPC Specifications and common use cases for applications that implement them.
This course is delivered in a series of interactive interspersed sessions with practical exercises to demonstrate and reinforce the concepts presented.

Who Should Take the Course?

This course provides managers, process control engineers, and operators with a solid background around the basics of OPC the specifications, the applications, and their use cases. OPC technology is used in a wide variety of industries such as oil & gas extraction and refining, mining; pharmaceutical, food processing, discrete manufacturing, building automation, and more. Professionals working either directly or in support of the process control environment will benefit from this course.

Course Objectives

Participants will gain an understanding of:

  • The communication fundamentals related to OPC client and server-based architectures
  • The principles of data connectivity to the end devices which are the building blocks of a modern industrial process control system
  • The underlying technology behind OPC.

Training Highlights

  • 100% Hands-On Practical Oriented Training
  • Industrial experienced faculties
  • Fully Equipped Updated Software and Hardware facility
  • 100% Placement Assistance Track record Till Date
  • Individual Focus
  • Frequent accessibility to Industrial leadership
  • New generation Hardware
  • Free Soft Skills Training

Certification

This course provides managers, process control engineers, and operators with a solid background around the basics of OPC the specifications, the applications, and their use cases. OPC technology is used in a wide variety of industries such as oil & gas extraction and refining, mining; pharmaceutical, food processing, discrete manufacturing, building automation, and more. Professionals working either directly or in support of the process control environment will benefit from this course.

  • Lecture 1.1:

    What is MATLAB, History of MATLAB, Scope of MATLAB, Toolboxes of MATLAB

  • Lecture 1.2:

    Importance & Applications of MATLAB for Engineers

  • Lecture 1.3:

    Salient Features of MATLAB, Advantages & Disadvantages of MATLAB

  • Lecture 1.4:

    Windows available in MATLAB , Working in Command Window

  • Lecture 1.5:

    To work with Editor

  • Lecture 1.6:

    Create, Save & Execute M-files, Operations with Variables,Variables, Naming, Conventions Scope of Variables, Data types of Variables, Real & Complex Variables, Built-in Mathematical Functions, MATLAB Symbols Operators, Arithmetic Operators, Assignment Operators, Relational Operators, Logical Operators

  • Lecture 1.7:

    Matrices & Arrays

  • Lecture 1.8:

    Scalar, Vectors, 2-D & 3-D Arrays, To separate rows and columns of Arrays, Accessing Matrix Elements

  • Lecture 1.9:

    Special types of Matrices (Zero, Unity, Identity, Random etc.), Arithmetic Operations on Matrices, Special Matrix Operations (Transpose, Inverse, Trace, Sorting etc.)

  • Lecture 2.0:

    Cells & Structures, Strings, String Inputs, Basic String Operations, String Evaluation, Special MATLAB Computations, Accessing Day, Date, Time etc. Generating Magic Tree, Pascal Triangle etc. Separators & delimiters Working with MAT-Files Loading & Saving

  • Lecture 2.1:

    Import & Export Variables, Formatting of Variables in MAT-Files Other, MATLAB Functions Functions to enquire variables & files, Functions like Linux commands, MATLAB Logical Functions

  • Lecture 2.2:

    Looping & Conditional Statements in MATLAB

  • Lecture 2.3:

    If Statement, If-else Statement, If-elseif Statement, Nested If , While Loop, For Loop, Nested For Loop, Switch Case Statement

  • Lecture 2.4:

    Error Finding & Debugging

  • Lecture 2.5:

    Syntax Errors, Run-time Errors,Logical Errors

  • Lecture 2.6:

    Other Mathematical Operations with MATLAB

  • Lecture 2.7:

    Solving Polynomials, Solving System of Linear Equations, Eigen-values & Eigen-vector calculation Convolution & De-convolution, Solving Numerical Methods

  • Lecture 2.8:

    Graphics in MATLAB

  • Lecture 2.9:

    Simple Graphs & Plots, Different 2D Plotting Functions (Polar, Bar-chart, Semilog, Pie-Chart etc.) Overlaying, Graphs Creating, Multiple Graphs Subplots, Line & Marker Specifications, Axis Settings

  • Lecture 3.0:

    Labels, Titles & Legends Creating Errorbar Graphs, Different 3D Plotting Functions (Surface, Contour, Mesh, Waterfall etc.) Colormaps in 3D Graphs, Curve Fitting , User-defined Function Creating, Functions & Subroutines, Naming, Conventions in Functions Variables Scope

  • Lecture 3.1:

    Graphical User Interface (GUI)

  • Lecture 3.2:

    Designing GUI , Writing Scripts for GUI , Global Variables in GUI

  • Lecture 3.3:

    SIMULINK

  • Lecture 3.4:

    Simulink Library , Designing Models in Simulink , Simulating Models in Simulink , Designing Blocks using Scripts in Simulink , Scripts Callbacks in Simulink , Access of variables within Simulink & Workspace of MATLAB , Applications of Simulink

  • Lecture 3.5:

    MATLAB-DOMAINS TRAININGS - Image Processing/Bio-Medical Image Processing (ECE, EE, EEE, CSE, IT)

  • Lecture 3.6:

    Basics of Digital Image Processing , Difference b/w Image and Digital Image Pixel, Pixel Intensity & Gray levels , Image Vectorization , Image Storage , Size Calculation, Image Read, Write & Display Operations , Colour Image to Gray & B/W Image Conversion & Channel Separations , Image Resolution , Enhancement Rotation & Cropping of Image Adding Noise & Denoising Image (Image Restoration) Image Filtering Mean Filter Median Filter Adaptive Filtering (Wiener Filter) , Image in Frequency Domain , Image Histogram & Histogram Resizing ,Image Contrast Enhancement , Image Sharpening , Image Segmentation , Image Compression , Wavelets in Image

  • Lecture 3.7:

    Digital Signal Processing (ECE, EE, EEE)

  • Lecture 3.8:

    Creating Basic Signals (Unit Impulse, Step, Ramp etc.) , Creating Advanced Signals (Rectangular, Gaussian, Triangular etc.) Scaling & Shifting in Signals , Signals in Time-Domain , Continuous & Discrete Time Signals , Sampling of Signals , Convolution & Correlation , Signals in Frequency Domain Pole-Zero Plots Fourier Transform, Laplace Transform, Z-Transform & their inverses , Impulse Response & Step Response, Designing DSP Filters, FIR Filter ,IIR Filter ,Adaptive Filters ,FDATOOL ,FVTOOL ,Audio & Speech Signal Processing Input, Output Audio Signal Sampling of Audio Signals ,Mixing of Audio Signals, Bands Separation

  • Lecture 3.9:

    Control Systems (ECE, EE, EEE, ME)

  • Lecture 3.9:

    Laplace & Inverse Laplace Transform Z-Transform & Inverse Z-Transform Transfer Function in Z-Domain Pole-Zero Analysis Impulse Response of System Step Response of 2nd Order System Underdamped, Overdamped, Criticaly Damped and Undamped Systems Calculation of Rise Time, Peak Overshoot, Peak Time etc Bode Plots Drawing Bode Plot Phase Margin Gain Margin Nyquist Plots Nicholas Chart Root Locus Criterion State-Space Analysis Designing PID Controllers

  • Lecture 4.0:

    Communication Systems (ECE, EE, EEE, CSE, IT)

  • Lecture 4.1:

    Creating Basic Signals (Unit Impulse, Step, Ramp etc.) Continuous & Discrete Time Signals Sampling of Signals Analog Modulation & Demodulation AM FM PM Digital Modulation & Demodulation ASK PSK FSK Design of Communication System using SIMULINK Information Theory & Coding

  • Lecture 4.2:

    MATLAB-DOMAINS PROJECT SPECIFIC

  • Lecture 4.3:

    1. Bio-Medical Image Processing using Bone drilling 2. Image Processing 3. Computer Vision 4. Embedded Systems/ Robotics Control Using MATLAB 5. Digital Signal Processing 6. Bio-Medical Signal Processing 7. Communication Systems 8. Wireless Sensor Networks (Only Network Parameters Optimization) 9. Cryptography & Coder-Decoder Schemes 10. Control Systems 11. Circuit Analysis and Synthesis 12. Fibre Optics & Optoelectronics 13. Numerical Methods 14. Optimization Algorithms 15. VLSI (Verilog/VHDL Code Generation)

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