Aditya Gupta
Category:
Software Courses
Master MATLAB with expert training in programming, data analysis, visualization, and simulation for engineering, science and research applications.
A brief summary
A MATLAB course is designed to help learners master programming, data analysis and mathematical modeling for engineering, science and research applications. This course covers fundamental concepts such as scripting, matrix operations, visualization and algorithm development, along with advanced topics like machine learning, signal processing, and simulation. With hands-on exercises and real-world applications, students will gain the skills needed to solve complex problems efficiently using MATLAB’s powerful tools. Widely used in academia and industry, MATLAB is essential for engineers, data scientists and researchers looking to enhance their analytical and computational abilities. Whether you’re a beginner or an experienced user, this course provides a structured approach to mastering MATLAB for various technical domains.
Syllabus
- 1-Basic Introduction
- Entering Commands
- Matrices and Arrays
- Operators and Elementary Operations
- Special Characters
- Data Types
- 2-Performing math operation using Matlab
- Elementary Math
- Linear Algebra
- Statistics and Random Numbers
- Interpolation
- Optimization
- Numerical Integration and Differential Equations
- Fourier Analysis and Filtering
- Sparse Matrices
- Computational Geometry
- 3-Graphics
- 2-D and 3-D Plots
- Animations
- 4-Programming
- Control Flow
- Scripts
- Functions
- 5- Data and File Management
- Workspace Variables
- Data Import and Export
- File Operations
- Search Path
- Operating System Commands
- Internet File Access
- Serial Port Devices
- 6-GUI (Graphical user interface)
- GUI Building Basics
- Component Selection
- Component Layout
- Coding GUI Behavior
- Packaging GUIs as Apps
- 7-Image Processing
- Introduction
- Point Processing
- Neighborhood Processing
- The Fourier Transform
- Image Restoration
- Image Segmentation
- Mathematical morphology
- Color processing
- Image acquisitions
- 8-Digital Signal Processing
- DSP Modeling
- Filter Design and Analysis
- Filter Implementation
- Transforms and Spectral Analysis
- Speech and Audio Processing
- 9-Control System
- Linear System Representation
- Model Inter connection
- Model Transformation
- Linear Analysis
- Control Design
- 10-Communications System Toolbox
- Communications Modeling
- System Design
- Channel Modeling and RF Impairments
- Measurements and Analysis
- 11-Fuzzy Logic
- Fuzzy Inference System Modeling
- Adaptive Neuro-Fuzzy Modeling
- Data Clustering
- Modeling of system
- Simulation of system
- Analysis of system
- Block Creation
- Sim Electronics
- Sim Power Electronic