About this Course
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다음 전문 분야의 6개 강좌 중 5번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

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일정에 따라 마감일을 재설정합니다.

완료하는 데 약 4시간 필요

권장: 3 weeks of study, 1-2 hours/week...

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자막: 영어

다음 전문 분야의 6개 강좌 중 5번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 4시간 필요

권장: 3 weeks of study, 1-2 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 14분 필요

Introduction

Welcome to the Internet of Things! Before diving into this course give us a chance to let you know what it is all about! We will walk you through a module by module outline that will give you highlights on the interesting aspects of the course.

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1 video (Total 4 min), 1 reading
1개의 동영상
1개의 읽기 자료
Course 5 Slides10m
완료하는 데 1시간 필요

Terminology/Cheat Sheet (Beginner)

In this course, you will see a lot of new words and acronyms you might not be familiar with. If you feel comfortable with your knowledge of tech terminology, feel free to skip these lessons since they will not affect the overall integrity of the course. If you see something that you want to know a little more about, feel free to watch the video to gain insight on some basic concepts. We do expect you to know the majority of this material before going into the next module, we would recommend going through the lessons as a quick brush up.

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16 videos (Total 51 min), 1 reading, 1 quiz
16개의 동영상
Acronyms2m
Terminology3m
A look back at Lesson 150
Introduction to Lesson 21m
Multimedia Computing and Classification8m
Multimedia Importance4m
Driving Forces in Multimedia5m
Multimedia Applications7m
Working with Libraries2m
A look back at Lesson 22m
Introduction to Lesson 31m
Android Multimedia2m
C/C++2m
Python2m
A look back at Lesson 31m
1개의 읽기 자료
Additional Links10m
1개 연습문제
Module 1 Quiz6m
2
완료하는 데 1시간 필요

Codecs

In this module our esteemed Professor Harinath Garudadri will talk about coders and decoders (Codecs). This will allow us to make better use of our multimedia choices when working with the DragonBoardTM 410c. We want to look at the motivation behind using Codecs, the different ways to take advantage of redundancies when using codecs and finally the ability to take advantage of different receiver / transmitter combinations. If we are able to understand the way that information is sent and received over the data plane we can create and use the right codecs.

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11 videos (Total 59 min), 1 reading, 1 quiz
11개의 동영상
Introduction to Lesson 157
A Generic Model12m
Audio Processing7m
Image Processing6m
Video Processing6m
Quality Evaluation6m
Introduction to Lesson 22m
Pixel Camera2m
Fall Risk Assessment3m
An Objective Balance Test7m
1개의 읽기 자료
Reading Material Links10m
1개 연습문제
Quiz 214m
3
완료하는 데 1시간 필요

Computer Vision and our Application

In this module we will talk in depth about computer vision. We will talk about a variety of current applications of computer vision, and brainstorm the future applications you all are capable of making! Ultimately we will set up a computer vision development environment on your Linaro/Debian release capable of creating a wide variety of computer vision projects. By the end of this module we will have built a great basic application in Python, we will add a few features and pass the code on to you! Hopefully this code can serve as a great template for you all to use.

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13 videos (Total 57 min), 2 readings, 1 quiz
13개의 동영상
What is Computer Vision?2m
Applications of CV7m
A look back at Lesson 151
Introduction to Lesson 21m
SimpleCV vs OpenCV3m
Setting up your environment7m
A look back at Lesson 21m
Introduction to Lesson 31m
Basic Application3m
Adding Features9m
Server Setup15m
A look back at Lesson 33m
2개의 읽기 자료
Setup Commands10m
Code access10m
1개 연습문제
Module 3 Quiz8m
4.4
12개의 리뷰Chevron Right

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67%

이 강좌를 통해 확실한 경력상 이점 얻기

Internet of Things: Multimedia Technologies의 최상위 리뷰

대학: JCApr 19th 2018

excellent, I like the digital image processing, and the use of different free software tools for it.

대학: MIMar 3rd 2017

So much I have learned in this course and so thankful to UCSD and Coursera.

강사

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Harinath Garudadri

Associate Research Scientist
Qualcomm Institute of Calit2, UC, San Diego
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Ganz Chockalingam

Principal Engineer
Qualcomm Institute of Calit2, UC, San Diego

캘리포니아 샌디에고 대학교 정보

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory....

사물 인터넷 전문 분야 정보

This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can employ in designing novel systems. The Specialization has theory and lab sections. In the lab sections you will learn hands-on IoT concepts such as sensing, actuation and communication. In the final Capstone Project, developed in partnership with Qualcomm, you’ll apply the skills you learned on a project of your choice using the DragonBoard 410c platform....
사물 인터넷

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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