Capstone: Autonomous Runway Detection for IoT

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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.

WEEK 1
3 hours to complete
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.
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2 videos (Total 18 min) 2 readings 1 quiz

WEEK 2
8 hours to complete
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.
3 videos (Total 19 min) 4 readings 1 quiz

WEEK 3
19 hours to complete
Project submission and Peer review
1 reading


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Cung cấp bởi: Coursera /  EIT Digital

Thời lượng: 30 giờ
Ngôn ngữ giảng dạy: Tiếng Anh
Chi phí: Miễn phí / 0
Đối tượng: Advanced

Thông tin về nhà cung cấp

Coursera (/ kərˈsɛrə /) là một nền tảng học tập trực tuyến toàn cầu được thành lập vào năm 2012 bởi 2 giáo sư khoa học máy tính của đại học Stanford là Andrew NgDaphne Koller, nền tảng này cung cấp các khóa học trực tuyến (MOOC) cho cộng đồng người học online.

Coursera hợp tác với các trường đại học danh tiếng tại Bắc Mỹ và trên khắp thế giới, cùng với nhiều tổ chức khác để cung cấp các khóa học trực tuyến chất lượng, theo chuyên ngành và được cấp chứng chỉ trong nhiều lĩnh vực như kỹ thuật, khoa học dữ liệu, học máy, toán học, kinh doanh, khoa học máy tính, tiếp thị kỹ thuật số, nhân văn, y học, sinh học, khoa học xã hội , và nhiều ngành khác.

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