IoT Foundations: Operating System Applications

Course details

Interested in building applications for the Internet of Things? Smart devices surround us, and the app market is only getting bigger. Luckily, the operating systems designed for IoT—Ubuntu Core, Windows 10 IoT Core, and others—also have a number of built-in features for developing robust, full-featured IoT apps. An OS-based approach to development hands over tasks such as interoperability and security to the framework, so that developers can focus on features and functionality. This course provides a technical overview of IoT application components that can be "outsourced" to the OS: interactions with sensors and actuators, data management and processing, data transmission, edge computing, cloud computing, device management, security, and artificial intelligence and machine learning. IoT engineer and professor Ryan Hu provides numerous examples as well as exercise files that show how to implement each component in an actual IoT app.

Learning objectives
Workflow for building an IoT application
Using sensors
Using pulse-width modulation signals for motor control
Managing and processing sensing data
Transmitting data
Edge computing
Cloud computing
Device management
Security
AI and machine learning

Concepts

0. Introduction

01 - Welcome
02 - What you should know

1. Overview

03 - IoT applications from the OS perspective
04 - Key application components
05 - Workflow of building an IoT application

2. Sensing and Actuation

06 - Overview of sensing and actuation
07 - Use a temperature sensor
08 - Use a biosensor for healthcare apps
09 - Use pulse-width modulation (PWM) signals for motor control

3. Data Management and Processing

10 - Overview of data management and processing
11 - Manage sensing data
12 - Process sensing data

4. Data Transmissions

13 - Overview of data transmissions
14 - Use TCP IP stacks for data transfer
15 - Use Bluetooth for data transfer
16 - Use cellular for data transfer

5. Interoperability

17 - Overview of interoperability
18 - Use Thread for interoperability
19 - Use IoTivity for interoperability

6. Edge Computing

20 - Overview of edge computing
21 - Enable edge computing on IoT gateways

7. Cloud Computing

22 - Overview of cloud computing
23 - Connect to Microsoft Azure

8. Device Management

24 - Device management overview
25 - Update firmware over the air

9. Security

26 - Device-level security
27 - Secure application data
28 - Secure data transfers

10. Artificial Intelligence and Machine Learning

29 - Intelligence and math processing
30 - Use a machine learning algorithm
31 - Enable AI with cloud services

Conclusion

32 - Next steps