Capstone: Autonomous Runway Detection for IoT

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Opleiderscore: starstarstarstar_halfstar_border 7,2 Coursera (CC) heeft een gemiddelde beoordeling van 7,2 (uit 6 ervaringen)

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Beschrijving

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About this course: 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…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: IoT, 3D printing, Blockchain, Embedded software en MCSE.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: 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.

Who is this class for: The course serves most parts from the embedded computing domain. Since real-time systems and embedded hardware and security are a part of our day-to-day life, systems engineers from most parts of the embedded spectrum such as automotive, avionics and most industrial sectors will benefit from this course. Also, engineers in multimedia based systems such as video processing, filtering and cloud platforms as well as Master's and graduate students benefit from this course.

Created by:  EIT Digital
  • Taught by:  Juha Plosila, Associate Professor

    Information Technology
Level Advanced Commitment 2 weeks Language English Hardware Req Normal PC How To Pass Pass all graded assignments to complete the course. Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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EIT Digital EIT Digital is a pan-European education and research-based open innovation organization founded on excellence. Its mission is to foster digital technology innovation and entrepreneurial talent for economic growth and quality of life. By linking education, research and business, EIT Digital empowers digital top talents for the future. EIT Digital provides online "blended" Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by 20 reputable universities of technology around Europe. The universities all together deliver a unique blend of the best of technical excellence and entrepreneurial skills and mindset to digital engineers and entrepreneurs at all stages of their careers. The academic partners support Coursera’s bold vision to enable anyone, anywhere, to transform their lives by accessing the world’s best learning experience. This means that EIT Digital gradually shares parts of its entrepreneurial and academic education programmes to demonstrate its excellence and make it accessible to a much wider audience. EIT Digital’s online education portfolio can be used as part of blended education settings, in both Master and Doctorate programmes, and for professionals as a way to update their knowledge. EIT Digital offers an online programme in 'Internet of Things through Embedded Systems'. Achieving all certificates of the online courses and the specialization provides an opportunity to enroll in the on campus program and get a double degree. These are the courses in the online programme:

Syllabus


WEEK 1


Introduction and methods



Looking for a project where you actually learn practical software development? In this course you can show off your newly developed embedded software skills by putting together a large scale system consisting of a wide range of functionalities! This project makes you take a step into the most modern edge of software development for embedded systems, we implement a system for IoT-based autonomous aircraft landing for future airliners. In other words, a system based on embedded real-time processing devices, secure web connectivity and cloud-based high performance back ends. The project does not only focus on the implementation of the algorithms in these parts, but also something every embedded software designer faces sooner or later: the interfacing of the parts. We offer you the opportunity to participate in this project and let loose your engineering skills! Creativity and innovation are the key points to succeed as we give you free hands to pick all the software pieces together, and you show us the result of you innovative thinking in a project which can be applied in real industrial products today.


3 videos, 2 readings expand


  1. Video: Course introduction
  2. Video: Project overview
  3. Video: Algorithms and Framework
  4. Discussion Prompt: General discussion
  5. Discussion Prompt: Quiz comments
  6. Reading: Project summary and instructions
  7. Reading: NASA media license

Graded: Capstone quiz

WEEK 2


Implementation and integration



In this module you will implement the runway detection system presented in the other module. Please refer to documentation, discussion forums and instructions about the project before starting. Also please study the requirements for successfully completing the project, and the instructions document for giving a peer review grading.


2 videos, 4 readings expand


  1. Video: Implementation
  2. Video: Deliverables
  3. Reading: FreeRTOS API
  4. Discussion Prompt: Algorithms and implementation
  5. Discussion Prompt: Setting up the FreeRTOS tool chain
  6. Discussion Prompt: Grading
  7. Reading: Project template
  8. Reading: Canny filter
  9. Reading: RSA encryption


WEEK 3


Project submission and Peer review



1 reading expand


  1. Reading: Grading instructions

Graded: Capstone project

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