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Yonsei University

Internet of Things & Augmented Reality Emerging Technologies

Yonsei University via Coursera

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Overview

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This is a notice to inform you that the “Internet of Things & Augmented Reality Emerging Technologies” course will close for new learner enrollment on September 17, 2018. Since you have already enrolled, you will continue to see it on your Coursera Dashboard as long as you remain enrolled in the course. If you are interested in earning a Course Certificate for this course, please upgrade or apply for Financial Aid by September 16, 2018, if you have not already done so. In order to earn a Course Certificate, you will need to complete all graded assignments, including peer reviews, by March 17, 2019. After that point, no new assignment submissions will be accepted for Certificate credit. The reason to close this course is because a new upgraded "Emerging Technologies: From Smartphones to IoT to Big Data" Specialization has been prepared and will be launched in a few weeks. This new upgraded Specialization includes 4 courses titled “Big Data Emerging Technologies,” “Smart Device & Mobile Emerging Technologies,” "IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies," and "AR (Augmented Reality) & Video Streaming Services Emerging Technologies." These four courses (which all include projects) include the contents of the former courses, but with much more new state-of-the-art technologies added. Among these courses, I highly recommended you to take the “IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies” course (because it includes new details on IoT (architecture, networks, devices, sensors, R&D platforms), Wi-Fi, Bluetooth, LP-WAN along with IoT Bluetooth & Wi-Fi projects) and the " AR (Augmented Reality) & Video Streaming Services Emerging Technologies" course (because it includes new details on AR (SIFT, SURF, FAST, BRIEF, ORB, BRISK), Skype, YouTube, and AR smartphone projects). While we hope that you will be able to complete the course, you can find more information about requesting a refund (https://learner.coursera.help/hc/en-us/articles/209819043-Request-a-refund) or unenrolling from a course (https://learner.coursera.help/hc/en-us/articles/208279756-Unenroll-from-a-course) in our Learner Help Center. We sincerely thank you for your interest and contributions to this course. In addition, we sincerely hope you will be interested in the new courses as well.

Syllabus

IoT (Internet of Things)
The lectures cover the services and essential functions of IoT (Internet of Things), which will be used to connect all objects through the Internet for remote sensing and control. The lectures first focus on IoT Service Support and Economic Impact, and then explain IoT Applications and the IoT & M2M Ecosystem. In order to describe the IoT Architecture, details on the Application Layer, Management Service Layer, Gateway & Network Layer, and Sensor Layer are explained. Next, IoT Technologies and R&D (Research & Development) topics are presented. Finally, details on IoT supportive wireless networking technologies are explained.

AR (Augmented Reality)
The lectures cover the services and essential functions of AR (Augmented Reality). First, the characteristics and a little on the history of VR (Virtual Reality) and AR (Augmented Reality) are presented, and some definitions of AR are presented. Next, AR Classifications based on Sensor, Vision, and Hybrid Tracking are described. Then the lecture focuses on AR Technology and describes the AR Process, which is composed of the stages of Image Acquisition, Feature Extraction, Feature Matching, Geometric Verification, and Associated Information Retrieval. Then further details on the AR Feature Extraction Process and Feature Extraction Techniques (e.g., SIFT and SURF) are explained.

Taught by

Jong-Moon Chung

Reviews

2.5 rating, based on 4 Class Central reviews

Start your review of Internet of Things & Augmented Reality Emerging Technologies

  • Mohamed Hegazy
    not for beginners too many technical expressions, too fast
    not for beginners too many technical expressions, too fast
    not for beginners too many technical expressions, too fast
  • Mitchell Wakefield
  • Monty Moree

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