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Capstone: Autonomous Runway Detection for IoT
  • Level Expert
  • المدة 30 ساعات hours
  • الطبع بواسطة EIT Digital
  • Offered by

عن

This capstone project course ties together the knowledge from three previous courses in IoT though embedded systems: Development of Real-Time Systems, Web Connectivity & Security and Embedded Hardware and Operating Systems. The students will develop a larger system using the learning outcomes from these courses, and the students will evaluate the developed system in a real-world programming environment. This course is a true engineering task in which the student must, not only implement the algorithm code, but also handle the interfaces between many different actors and hardware platforms. The students will learn how to motivate engineering decisions and how to choose implementations to make a system actually running. The students will also learn to evaluate the efficiency and the correctness of their system as well as real-world parameters such as energy consumption and cost.

الوحدات

Lectures

    • 2 Videos
    • 2 Readings
    • 2 Discussion
    • 1 Assignment
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1 Assignment

  • Capstone quiz

2 Discussions

  • General discussion
  • Quiz comments

2 Videos

  • Course introduction & Project overview
  • Algorithms and Framework

2 Readings

  • Project summary and instructions
  • NASA media license

Preparation

    • 3 Videos
    • 1 Readings
    • 3 Discussion
    • 1 Programming
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1 Programming

  • Warm Up the Programming

3 Discussions

  • Algorithms and implementation
  • Setting up the FreeRTOS tool chain
  • Grading

3 Videos

  • Implementation
  • Deliverables
  • FreeRTOS "Hello World" Tutorial

1 Readings

  • FreeRTOS API

Code integration

    • 3 Readings
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3 Readings

  • Project template
  • Canny filter
  • RSA encryption

Project submission

    • 1 Readings
    • 1 PeerReview
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1 Peer Review

  • Capstone project

1 Readings

  • Grading instructions

Auto Summary

This expert-level course, "Capstone: Autonomous Runway Detection for IoT," offered by EIT Digital on Coursera, focuses on integrating knowledge from real-time systems, web connectivity, security, and embedded hardware. Over 1800 minutes, learners will develop and evaluate complex IoT systems in real-world environments, addressing engineering decisions, interfaces, efficiency, and cost. Ideal for IT and Computer Science professionals, it offers Starter and Professional subscription options.

Farhoud Hosseinpour
Instructors

Farhoud Hosseinpour

Juha Plosila
Instructors

Juha Plosila