Job Oriented Courses in Thoothukudi, Thiruchendur

MATLAB for Electronics

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.


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    Technology Partners


    Why Livewire

    Gcc

    Global Competency Certification (GCC) which will add value in resume



    Certified Faculties

    All our trainer are Certified in their Products. B2E certified Industry experienced faculty. They ensure students are benefited with in depth practical training.

    Placement Opportunity

    LIVEWIRE is in association with 250+ corporates, who grab candidates from our centres when they match their job requirement. We offer all these opening to the students. They will be able to directly apply for the openings through our Student Portal.

    Corporate Style Training

    Individual focus

    Quality training from Experts

    Learn the required skill


    What Will I Learn?

    • Introduction to MATLAB environment
    • Simulink modelling
    • Model Based Designing
    • Stateflow modelling
    • Computer Vision / Digital Image Processing– Script and Simulink
    • Algorithms such as object detection/ recognition/ segmentation/ tracking/ classification
    • Digital Signal Processing – Script and Simulink
    • Developing applications usingGUI environment
    • Fuzzy Logic Toolbox
    • Neural Networks Toolbox
    • Interfacing Arduino with MATLAB – Script and Simulink
    • Interfacing Raspberry Pi with MATLAB – Script and Simulink
    • Verilog Code Generation usingHDL coder in MATLAB and Xilinx ISE with FPGA
    • Interfacing MATLAB withEmbedded Systems
    • MATLAB and the Internet of Things (IoT)
    • Interfacing Android Sensors with MATLAB


    Deliverables

    Internationally Recognized Course Completion Certificate

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    Deep Learning Module


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    • Instructor-led training from an expert
    • Real Time Application training and hands-on practice
    • Instructor-led training from an expert
    • Real Time Application training and hands-on practice

    JOB OPPORTUNITIES

    According to CareerBuilder, A Matlab Engineer typically earns between $54,500 and $145,500 annually with a median salary of $89,500. Other factors such as company size and industry play a role in determining an individual’s pay. After successful completion of it, you can work in varied fields such as
    • 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

    AVERAGE MATLAB FOR ELECTRONICS JOB SALARY PER ANNUM BY EXPERIENCE – INDIA

    0-5 years
    314000
    5-10 years
    540000
    10-20 years
    619000
    20 years or more
    621000

    Source: Payscale

    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.

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