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MATLAB Training in Noida & MATLAB Training Institute in Noida

The candidates who are interested for the MATLAB training course they are informed about Techavera solutions Pvt. Ltd which has been ranked in the top three training institutes in Noida. We offer all the training programmes for the candidates on regular, weekly, week-end and fast track classes. The candidates will be trained under the supervision of subject matter experts. They will provide training with their skills and experiences.

The trainers of this institute are experienced with more than seven years who are also corporate trainers who have a well versed knowledge and also aware about the latest changes as well. The candidates may also select the online classes if they are not able to attend offline classes. The course fee can be also customized as per the course syllabus and content. There is no compulsory educational requirement for this course. This training can be pursued by professionals, students, working employees or entrepreneurs.

The course content and syllabus can be find from under the same page, so the candidates are required to check the details if needed.

Course Content and Syllabus for MATLAB Training in Noida

Introduction to MATLAB

  1. Historical Background
  2. Applications
  3. Scope of MATLAB
  4. Importance to Engineers
  5. Features
  6. MATLAB Windows (Editor, Work space, Command history, Command Window)
  7. Operations with variables
  8. Naming and Checking Existence
  9. Clearing Operations

Data and data flow in MATLAB

  1. Matrix Operations & Operators
  2. Reshaping Matrices
  3. Importing Exporting Of Data
  4. Arrays
  5. Data types
  6. File Input-Output
  7. Communication with external devices

Editing and debugging M Files

  1. Writing script files
  2. Writing functions
  3. Error Correction
  4. M-Lint Automatic Code Analyzer
  5. Saving files


  1. Flow control
  2. Conditional Statements
  3. Error Handling
  4. Work with multidimensional array
  5. Cell Array & Characters
  6. Developing user defined function
  7. Scripts and other Functions
  8. Basic Technical Level Computing with MATLAB

MATLAB Graphics

  1. Simple graphics
  2. Graphic Types
  3. Plotting functions
  4. Creating plot &Editing plot (2D and 3D)
  5. Graphics Handles
  6. GUI (Graphical User Interface)


  1. Introduction
  2. Importance
  3. Model Based Design
  4. Tools
  5. Mathematical Modeling
  6. Converting Mathematical Model into Simulink Model
  7. Running Simulink Models
  8. Importing Exporting Data
  9. Solver Configuration
  10. Masking Block/Model
  11. Basic Technical Level Computing with MATLAB

Control System Toolbox

  1. General instructions
  2. Create linear models
  3. Classes of Control System Toolbox
  4. Discussion on state space representation
  5. Transfer function
  6. System gain and dynamics
  7. Time & Frequency domain analysis
  8. Classical design, State Space Model
  9. Transfer function representation, System response
  10. LTI viewer detail and explanation about LTI viewer
  11. Designing of compensator
  12. Use of SISO design

Project on Control & Simulink

Signal Processing Toolbox

  1. Basics of Signal Processing
  2. Representing Signals
  3. Analysis of different Signals
  4. Complex Signals
  5. Filter Designing
  6. Using the Filter Designing GUIs
  7. Analyzing the filter plots
  8. Filter Designing using Script Files
  9. Speech Recording
  10. Speech Processing
  11. Other Signal Processing Functions

Communication Toolbox

  1. Signal Sources
  2. BER Tool
  3. Modulation
  4. Special Filter
  5. Channels
  6. Equalizers

Project Based on Signal & communication

Image Processing Toolbox

  1. Reading and Writing Image Data
  2. Displaying and Exploring Image
  3. Spatial Transformation
  4. Image Registration
  5. Designing and implementing 2D linear Filters for Image Data
  6. Morphological Operations
  7. Transforms
  8. Analyzing and Enhancing Images
  9. ROI based Processing
  10. Neighbourhood and Block operations

Computer Vision Systems Toolbox

  1. Input, Output, and Conversions
  2. Display and Graphics
  3. Registration and Stereo Vision
  4. Motion Estimation and Tracking
  5. Geometric Transformations
  6. Filters, Transforms, and Enhancements

Project Based on Image & Computer Vision

Fuzzy Logic Toolbox

  1. Basic introduction to fuzzy logic
  2. Fuzzy Versus Non-fuzzy Logic
  3. Foundations of Fuzzy Logic
  4. Fuzzy Inference Systems
  5. Building Systems with Fuzzy Logic Toolbox Software
  6. Building Fuzzy Inference Systems Using Custom Functions
  7. Working from the Command Line
  8. Working in Simulink Environment
  9. Simulating Fuzzy Inference Systems Using the Fuzzy Inference Engine

Neural Network Toolbox

  1. Network Objects, Data, and Training Styles
  2. Multilayer Networks and Backpropagation Training
  3. Control Systems
  4. Radial Basis Networks
  5. Self-Organizing and Learning
  6. Vector Quantization Nets
  7. Adaptive Filters and Adaptive Training

Stateflow in Simulink

  1. Stateflow Chart Concepts
  2. Stateflow Chart Notation
  3. Stateflow Chart Semantics
  4. Building Mealy and Moore Charts
  5. Using Actions in Stateflow Charts
  6. Stateflow Design Patterns
  7. Truth Table Functions for Decision-Making Logic
  8. Using Simulink Functions in Stateflow Charts
  9. Debugging and Testing Stateflow Charts
  10. Exploring and Modifying Charts
  11. Semantic Rules Summary

Semantic Examples

  1. Analysis of C MEX files
  2. C/C++ Source MEX-Files
  3. Examples of C/C++ Source MEX-Files
  4. Debugging C/C++ Language MEX-Files
  5. Handling Large mxArrays
  6. Memory Management
  7. Large File I/O

Introduction to Embedded System for MATLAB

  1. Basic components of Embedded System
  2. Hardware Classification of Embedded System
  3. Programming Language Classification of Embedded System
  4. Advantage & Disadvantage of Low level & High level Programming Languages.
  5. Type of Microcontroller
  6. Memory Classification

Embedded System Development Tools

  1. Assembler
  2. Interpreter
  3. Compiler
  4. Simulator
  5. Emulator
  6. Debugger

AVR Architecture & Instructions

  1. Classification of Von-Neumann and Harvard Architecture
  2. Difference between RISC and CISC
  3. Memory Classification (Primary & Secondary)
  4. Data Transfer Instructions
  5. Arithmetic Instructions
  6. Logical Instructions
  7. Conditional Instructions

I/O Port Programming

  1. Led Interfacing
  2. 7 Segment Display Types
  3. 7 Segment Interfacing

Motors Interfacing & Sensors

  1. Introduction to Motors
  2. DC Motor Interfacing
  3. Stepper Motor Interfacing
  4. Introduction to Sensing Devices
  5. Different Type of Sensors

Introduction to MATLAB Arduino Tool

  1. Introduction to Arduino Boards and Shields
  2. Arduino IDE Introduction
  3. Programming in Arduino
  4. Arduino Interfacing With MATLAB

Peripheral Interfacing with MATLAB Arduino

  1. Led Interfacing
  2. 7 Segment Interfacing
  3. DC motor Interfacing
  4. Stepper motor Interfacing

Introduction to Simulink Arduino Tool Library

  1. Arduino Interfacing With Simulink
  2. Standalone Application Development Using Simulink

Projects on Interfacing between Arduino, MATLAB and Simulink

Introduction to VLSI

  1. Need, Scope, Use and History of VLSI.
  2. Introduction to Chip Design Process.
  3. Description of Hardware Description Languages.
  4. Applications of VLSI
  5. Top Down Design Methodology
  6. Bottom Up Design Methodology

VLSI Design Flow and HDLs

  1. Design Process and Steps.
  2. Design Simulation and Design Synthesis.
  3. Introduction to VHDL
  4. Introduction to Verilog HDL
  5. Difference between Verilog HDL & other Programming HDL’s

Tools Used for HDL’s

  1. Different Tools Available in Industry
  2. Working on Xilinx Project Navigator
  3. Working on Simulator

Introduction to Various HDL Modeling Style

  1. Gate Level Modeling Style
  2. Data Flow Modeling Style
  3. Behavioral Modeling Style
  4. Switch Level Modeling Style

Keywords & Data Types in Verilog HDL

  1. Module
  2. Initials
  3. Always
  4. Data Types

Hardware Implementation using HDL’s

  1. FPGA
  2. CPLD
  3. RTL

HDL’s - MATLAB Interfacing

  1. MATLAB HDL Coder
  2. Code Generation using HDL coder in MATLAB
  3. Learning MATLAB TOOL related programming
  4. Fixed point conversions
  5. HDL code generations

Hardware Implementation on FPGA using MATLAB

  1. Synthesize Code from MATLAB to Verilog HDL
  2. Learning MATLAB HDL Verifier
  3. Learning ModelSim using MATLAB
  4. Using MATLAB HDL Verifier to operate FPGA in Loop.

Why to join Techavera Solutions Pvt. Ltd for MATLAB Training in Noida:

  1. 100% Placement Assurance
  2. Flexible Timings for the candidates
  3. Small batch size
  4. Materials will be provided and Router and Switches will be provided
  5. Excellent Lab Facility is available
  6. MATLAB course materials and interview question will be provided
  7. Practical Guidance by the staffs
  8. Life Time Support will be provided
  9. Hands free Experience on live projects
  10. Model Interview questions will be provided
  11. Mock interview will be conducted
  12. Regular assignments and MATLAB Training real time tasks will be provided

Techavera Trainer's Profile for MATLAB Training in Noida

  1. Has worked on multiple real times Advanced MATLAB projects
  2. Working in a top MNC company in India
  3. More than 6+ Years of experience in MATLAB Training
  4. Strong Theoretical and Practical Knowledge
  5. Trained 2000+ Students so far
  6. Certified Professionals
  7. All are well connected with hiring HRs in multinational companies

Techavera’s Placement Guarantee

  1. It has provided placement to the students which provides 100% placement assistance
  2. It helps the students in the creation of resume as per current industry norms.
  3. It also conducts Personality Development sessions including Spoken English, GD (Group Discussion), Mock Interviews,      Presentation skills to prepare students for face to face interview challenges with ease.
  4. It prepare the students to get placed in top IT Firms like HCL, TCS, Infosys, Wipro, Accenture and many other MNCs.


MatLab training in Noida Reviews

MatLab training in Noida
Reviewed by
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4.9/5 5 Star Rating: Excellent
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MatLab training in Noida
Reviewed by
Sonali Singh
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4.9/5 4 Star Rating: Very Good
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MatLab training in Noida
Reviewed by
Kamal Singh
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4.9/5 4 Star Rating: Very Good
4.9 out of 5 based on 82 ratings