IoT Education & Workforce Development

Global City Teams Challenge Spring 2016

Preparing for an increasingly sensor- and data-driven world.

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.

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

Team

Montgomery County, Maryland

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 Edition Grove Cape for BeagleBone

Image source: seeedstudio.com

More than 200 types of sensors available.

Image source: seeedstudio.com

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.

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

Data Real-time data exchange site containing “data rooms” where students can continuously post real-time sensor data to share.

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.

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.

Contact & Links

Contact Name: Greg Toth

Email: gtoth@iotdc.org Links

Slide deck: http://ioteducation.org

GitHub site: http://iotdevlabs.github.io/iot-educ