About this Course
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Flexible deadlines

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Approx. 4 hours to complete

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

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 4 hours to complete

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

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
14 minutes to complete

Introduction

1 video (Total 4 min), 1 reading
1 reading
Course 5 Slides10m
1 hour to complete

Terminology/Cheat Sheet (Beginner)

16 videos (Total 51 min), 1 reading, 1 quiz
16 videos
Acronyms2m
Terminology3m
A look back at Lesson 150s
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
1 reading
Additional Links10m
1 practice exercise
Module 1 Quiz6m
Week
2
1 hour to complete

Codecs

11 videos (Total 59 min), 1 reading, 1 quiz
11 videos
Introduction to Lesson 157s
A Generic Model12m
Audio Processing7m
Image Processing6m
Video Processing6m
Quality Evaluation6m
Introduction to Lesson 22m
Pixel Camera2m
Fall Risk Assessment3m
An Objective Balance Test7m
1 reading
Reading Material Links10m
1 practice exercise
Quiz 214m
Week
3
1 hour to complete

Computer Vision and our Application

13 videos (Total 57 min), 2 readings, 1 quiz
13 videos
What is Computer Vision?2m
Applications of CV7m
A look back at Lesson 151s
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
2 readings
Setup Commands10m
Code access10m
1 practice exercise
Module 3 Quiz8m
4.4
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started a new career after completing these courses

67%

got a tangible career benefit from this course

Top reviews from Internet of Things: Multimedia Technologies

By JCApr 19th 2018

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

By MIMar 3rd 2017

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

Instructors

Avatar

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

About University of California San Diego

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....

About the Internet of Things Specialization

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....
Internet of Things

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.