PG Diploma in Automotive Embedded System

We Deliver both Classroom & Online Sessions

Eligibility: Working Professional/ Individual/ B.tech, M.tech students
Duration: 2.5 Month

Contact for Training

I-TAP in Automotive Embedded System (2.5 months) - Weekend Batches

PG Diploma in Automotive Embedded System

Automotive Embedded System course is designed for working professionals to master the automotive & embedded systems concepts and its applications. By the end of the course learner will be able to design, implement, integrate, and test software used for advanced embedded systems.

We, at Cranes, provide training in all the relevant disciplines to enable the engineers to design and develop embedded system based application that meets industry standards. we offer a wide variety of choices for hardware and software platforms as well as programming languages.

Modules

  • ARM7 & CORTEX-M3 Architecture
  • Programming in Embedded C
  • Embedded Protocols - UART, I2C, SPI
  • Automotive with CAN Analysis & Autosar
  • Model Based Design using MATLAB (Simulink, state flow & Embedded coder)

Platform

  • Ubuntu (Linux OS, with gcc compiler)
  • Lpc 2129, Lpc 1768 ,Keil Microvision
  • Raspberry Pi 3

ARM & CORTEX-M Micro Controller – (4 Full Days)

  • Introduction to ARM7
  • Vector Interrupt Controller and Timers
  • Introduction to ARM Cortex M3
  • Nested Interrupt
  • Introduction to LPC2129
  • ADC, PWM,WDT,RTC
  • Difference b/w ARM7 and Cortex Series Controller
  • Embedded Testing
  • GPIO
  • Embedded Protocols - UART, I2C, SPI
  • Programming with Cortex M3(LPC1768)
  • Debugging with JTAG

Automotive with CAN Analysis & Autosar - (3 Full Days)

  • CAN: Introduction, Features
  • Synchronization, CSMA-CD
  • Overview : Design and Development of ECU
  • SBUS CAN using BUS MASTER Software
  • CAN from OSI perspective
  • Implementing CAN Messaging system
  • MISRA C guidelines, Static Analysis Tools
  • OBD-2 Simulator with OBD Dongle Demo
  • CAN Frames, Errors, NRZ
  • Automotive Embedded Systems
  • AUTOSAR Layer Model

Model based design using MATLAB (Simulink, State flow & Embedded Coder) – (4 Full Days)

  • Introduction to MATLAB
  • Programming in MATLAB
  • Logic Driven Modeling using Stateflow
  • Creating & manipulating matrices
  • Graphical User Interface(Guide)
  • Finite State Machines
  • Data Visualization
  • Introduction to Model Based Design
  • Introduction to Simscape

Project

  • Anti-Theft system for vehicles using Fingerprint sensor
  • Wireless Black Box using MEMS Accelerometer and GPS Tracking for Accidental Monitoring of Vehicle
  • Smart Zoned Based Vehicle Speed control using RF and obstacle Detection and Accident Prevention
  • Vehicle to vehicle communication using wireless technology
  • Fingerprint and iris biometric controlled smart banking machine embedded with GSM technology for OTP