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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.
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1 - 6 von 6 Bewertungen für Capstone: Autonomous Runway Detection for IoT
von Ana R P
•Sep 11, 2017
Thank you so much for the instruction.
von MASOOTH A
•Jul 14, 2019
good
von esha p
•Mar 25, 2019
nice
von nikhil
•Mar 24, 2019
nice
von Elias R
•May 20, 2019
This course is not maintained by any responible person from the university. Some material needed to complete the course is simply missing. Questions in the forum do not get answered. I do not recommend to attend this course!
von Santiago H
•Oct 03, 2018
Not enough people to grade the assignment. More than a month later I still don't have the certificate. The project is ok, it covers all previous courses, but it is not worth to pay for it as it can
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