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MATLAB for Electronics (80 Hours)

What's the course about

The course focuses on how to implement complex, finite-state machines using stateflow and creating a model based design using simulink. The course gives an understanding about the operation performed on different images and signals using image processing and signal processing toolbox. The course also provides information on how to create, train, visualize and simulate neural networks as well as design and simulate fuzzy logic systems. The Real time applications plays a very important role.This course gives exposure to the students to work on different hardwares like Arduino, Raspberry Pi, Android sensors, UART and IoT based applications.

Course objective

This course gives guidance on the key features of widely used toolboxes in simulink, helps to transform concepts to a complete model, verifyies and evaluates the system behaviour in different user environments. It also allows the attendees to explore the more advanced features of MATLAB like simulink modelling, Internet of Things (IOT), HDL coder and Various hardware interfacing with MATLAB in a unified manner and help learners 'future-proof' themselves and remain relevant for the rapidly evolving technology from an industryial perspective.

Key course contents

  • Introduction to MATLAB environment
  • Simulink modelling
  • Masks and Subsystems
  • Lookup table editor and breakpoints
  • Developing applications using GUI environment
  • Stateflow modelling
  • Hierarchical and Parallel state machines
  • Events and Functions in state machines
  • Truth tables and State transition tables
  • Digital Image Processing – Script, Simulink and GUI
  • Digital Signal Processing – Script, Simulink and GUI
  • Fuzzy Logic Toolbox
  • Neural Networks Toolbox
  • Interfacing Arduino with MATLAB - Script, Simulink and GUI
  • Interfacing Raspberry Pi with MATLAB – Script, Simulink and GUI
  • Interfacing Android Sensor with MATLAB
  • Code Generation using HDL coder in MATLAB
  • Interfacing MATLAB with Embedded Systems
  • MATLAB and the Internet of Things (IOT)

Who can enroll

Anyone who wants to enrich themselves with the key skills of simulink, Stateflow, Image Processing, Signal Processing, Fuzzy Logic, Neural Networks and get hands-on hardwares like Arduino, Raspberry Pi, Android, FPGA, Embedded interfacing and IOT based applications can enrol themselves for the course.

Job opportunities

  • MATLAB Developer
  • Simulink Model Developers
  • ADAS (Advanced Driver Assistance Systems) Engineer
  • GIS (Geographic Information System) Software Developer
  • Automotive System Engineer
  • ADAS Imaging and Radar Engineer
  • Image Processing Algorithm Developer

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