Capstone: Autonomous Runway Detection for IoT
Finally! You will learn how to motivate engineering decisions and how to choose implementations to make a system actually running! This capstone project...
By Farhoud Hosseinpour on Coursera
About This Course
Finally! You will learn how to motivate engineering decisions and how to choose implementations to make a system actually running! This capstone project course ties together the knowledge from three previous courses in IoT through embedded systems: Development of Real-Time Systems, Web Connectivity & Security and Embedded Hardware and Operating Systems. You 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 learners must not only implement the algorithm code, but also handle the interfaces between many different actors and hardware platforms. You 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. Get ready! This one will change how you view proposals and projects! Ideate. Innovate. Iterate with 28Digital,
Topics Covered
Frequently Asked Questions
How much does Capstone: Autonomous Runway Detection for IoT cost?
Visit the Capstone: Autonomous Runway Detection for IoT course page for current pricing and available discounts.
Who teaches Capstone: Autonomous Runway Detection for IoT?
Capstone: Autonomous Runway Detection for IoT is taught by Farhoud Hosseinpour, 28DIGITAL.
What skill level is Capstone: Autonomous Runway Detection for IoT for?
This course is designed for all levels learners.
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