technifyedWeekly list

University of California San Diego

Internet of Things: Communication Technologies

via Coursera

4.91,596 ratings at Coursera

Overview

Have you wondered how “Things” talk to each other and the cloud? Do you understand the alternatives for conveying latency-sensitive real time data versus reliable signaling data? Building on the skills from the Sensing and Actuation course, we will explore protocols to exchange information between processors.

In this course, you will learn how VoIP systems like Skype work and implement your own app for voice calls and text messages. You will start by using the Session Initiation Protocol (SIP) for session management. Next, you will learn how voice codecs such as Adaptive Multi Rate (AMR) are used in 3G networks and use them for voice traffic in your app.

Learning Goals: After completing this course, you will be able to:

1. Implement session initiation, management and termination on your DragonBoard™ 410c using SIP.

2. Discover other users and exchange device capabilities.

3. Compare and contrast narrowband and wideband codecs and experience the voice quality differences between them.

4. Implement and demonstrate VoIP calls using the DragonBoard 410c.

Syllabus 5

  1. Introduction 10 minutes

    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.

  2. Terminology/Cheat Sheet (Beginner) 1 hour

    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…

  3. VOIP in a Nutshell 1.5 hours

    This module will take a high level look at what VoIP is in a nutshell. Essentially, we would like to talk a little more in depth about the key terms you may have seen in module 1. We will also go over a great open source VoIP application called Linphone, and explain a variety of ways you can use th…

  4. Codecs 1.5 hours

    In this module our esteemed Professor Harinath Garudadri will talk about coders and decoders (Codecs). This will allow us to make better use of the communications in the data plane.We want to look at the motivation behind using Codecs, the different ways to take advantage of redundancies when using…

  5. Make your own VoIP application 1.5 hours

    The main part of this module will focus on you making your very own VoIP application on the Android operating system. In order to do this, you might have to brush up on some of the materials in Course 2. You will be required to use Android Studio to push the application onto your board. You will ne…

Skills you'll practise

Internet Of Things

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From University of California San Diego, a well-regarded name.
  • Rated 4.9 out of 5 by 1,596 learners.
  • Self-paced: start any time.
  • A clear syllabus (5 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Ganz ChockalingamPrincipal Engineer, Qualcomm Institute of Calit2, UC, San Diego
  • Harinath GarudadriAssociate Research Scientist, Qualcomm Institute of Calit2, UC, San Diego

University of California San Diego is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

Similar courses

Compare these

Harvard University

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

  • Free to audit
  • 5 weeks, 2 - 4 hours per week

Harvard University

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

  • Free to audit
  • 8 weeks, 3 - 5 hours per week

Harvard University

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

  • Free to audit
  • 12 weeks, 5 - 14 hours per week

Harvard University

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

  • Free to audit
  • 8 weeks, 2 - 3 hours per week

Harvard University

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

  • Free to audit
  • 10 weeks, 3 - 6 hours per week

Harvard University

Data Science: R Basics

4.4273 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

  • Free to audit
  • 8 weeks, 2 - 3 hours per week