This years instruction will cover these concepts throughout the following three quarters.
- Meshed Sensors with Raspberry PI, Arduino, and XBee
- Bluetooth LE and Augmented reality
- Computer Vision with Arduino and Kinect
- OpenCV and CV Metrics
- Raspberry PI Mashups and Scraping
- Mashups and Scraping with Google Docs and CartoDB
Course work and assignments will be instruction orientated, meaning the student is the teacher. Lessons can utilize any media format, provided they follow a structured flow. The structure will need to include the following:
- Introduction of the topic and an overview of what will be covered.
- Purpose or history of the topic to establish relevance.
- Details of the topic that follow the theme of purpose or history.
- Branching subjects that the topic can lead to.
- Summary of the topic and the key points.
The schedule for the quarters will be as follows:
The sequence and frequency of the topics are open for the student to decide, however topics should not exceed two weeks. The written study material will be based from these texts:
- Beginning Sensor Networks with Arduino and Raspberry PI – Charles Bell (Apress)
- Sensor Technologies – Michael J. McGrath and Cliodhna Ni Scanaill (Apress)
- Smart Home Automation with Linux and Raspberry Pi -Steven Goodwin (Apress)
- Arduino and Kinect Projects – Enrique Ramos Melgar and Ciriaco Castro Diez with Przemek Jaworski (Apress)
- Practical OpenCV – Samarth Brahmbhatt (Apress)
- Computer Vision Metrics – Scott Krig (Apress)
- Rethinking the Internet of Things – Francis daCosta with forward by Alok Batra (Apress)
- The Privacy Engineer’s Manifesto – Michelle Finneran Dennedy, Jonathan Fox, and Thomas R. Finneran with forward by Dr. Eric Bonabeau, Phd. (Apress)
- Scripting Intelligence – Mark Watson (Apress)
It is highly recommended that any previous projects or material covered in past quarters be utilized in the following academic year. Be sure to have all hardware on hand that is outlined in the “Shopping List” in on page 335 from the book “Beginning Sensor Networks” listed above. It is also suggested that a Kinect version 1 device be purchased. This hardware will be required to perform demonstrations for lessons.
Students are also encouraged to document the lessons in a serial format. An example of this would be an article about a topic that is run for a series. The benefit of this is the ease of compiling the lessons into a book for publishing on LeanPub. This will prove to be a long lasting benefit not only to the student, but to the community at large.
Dream big because it is a big cosmos we live in.