IoT Education & Workforce Development
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This document describes an Internet of Things (IoT) education program that provides students and workers with hands-on learning opportunities to build IoT devices and applications. The program uses IoT "recipes" modeled after smart city use cases that involve collecting sensor data using affordable hardware platforms. Students learn skills like programming connected devices, networking, and analyzing real-world data. They can then brainstorm other smart city applications. The goal is to prepare students and workers for careers developing and using IoT technologies in future smart cities and communities.
IoT Education & Workforce Development
- 1. IoT Education & Workforce Development Global City Teams Challenge Spring 2016 Preparing for an increasingly sensor- and data-driven world.
- 2. The Need Today’s students and our broader workforce will be building and using the smarter cities and communities of tomorrow. The time to start learning about IoT is now.
- 3. The Solution We’re creating and deploying Internet of Things learning recipes modeled after smart city use cases and making them available to students to build functioning sensors that generate data. IoT Recipes Hardware Software Networking Data Use Cases GitHub Site, Classrooms, Workshops Spin-off Initiatives
- 5. Hardware & Sensors Open hardware that’s readily available. Modular sensors and actuators that are plug-and-play. Image source: raspberrypi.org Image source: beaglebone.org Raspberry Pi BeagleBone Black Intel Galileo & Edison Image source: sparkfun.com Grove Pi + Grove Intel IoT EditionGrove Cape for BeagleBone Image source: seeedstudio.com More than 200 types of sensors available. Image source: seeedstudio.com
- 6. Learning Approach Real-Time Data Exchange Classrooms Sensors Workshops Sensors Other Sites Sensors Internet Internet What can be sensed? ● Temperature ● Humidity ● Air pressure ● Location ● Light ● Noise ● Soil moisture ● Energy ● Traffic ● Motion ● Buttons ● Doors ● Proximity ● Time Students build hardware and software to collect, exchange, analyze and compare real-world sensor data. Students learn about hardware and software through hands-on mentoring, workshops and hackathons. Students analyze collected data and compare between teams, taking into account differences in location, timezones, climates, etc. Students brainstorm how this fits into a Smart City ecosystem.
- 7. Software Pre-written program templates that can be modified, mixed and extended by students. Written in common open-source languages. Maintained on project GitHub site. C / C++ Python.org Nodejs.org
- 8. Data Real-time data exchange site containing “data rooms” where students can continuously post real-time sensor data to share.
- 9. Learning Opportunities 1. What are sensors and embedded computers. 2. Basic electronics. 3. How to program connected devices. 4. How to connect devices to the Internet. 5. Using GitHub. 6. Characteristics of real-world sensor data. 7. How data accumulates over time. 8. How to share data with other people. 9. Where standards are needed. 10. Considerations for security & privacy.
- 10. Example High School IoT Projects Real-time button polling machine to poll students as they enter & leave the building. Environmental monitoring station to learn how to measure the environment. Detecting automobile collisions to speed up emergency response. Measuring air pollution generated by idling cars.
- 11. Contact & Links Contact Name: Greg Toth Email: gtoth@iotdc.org Links Slide deck: http://ioteducation.org GitHub site: http://iotdevlabs.github.io/iot-educ