Capstone: Autonomous Runway Detection for IoT(으)로 돌아가기
EIT 디지털 의 Capstone: Autonomous Runway Detection for IoT 학습자 리뷰 및 피드백
4.7
54개의 평가
강좌 소개
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.
필터링 기준:
Capstone: Autonomous Runway Detection for IoT의 6개 리뷰 중 1~6
교육 기관: nikhil
•Mar 24, 2019
nice
교육 기관: esha p
•Mar 25, 2019
nice
교육 기관: Ana R P
•Sep 11, 2017
Thank you so much for the instruction.
교육 기관: MASOOTH A
•Jul 14, 2019
good
교육 기관: 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
교육 기관: 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!
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