A Tentative Plan

Week 1.

• Presentation: Introduction and Scope of Study

• Resources: things we will need

  • Software Development Resources (link to page)

    • anaconda python on laptop with:
      • scikits-learn
      • elequent arduino
      • tensorFlow lite
    • ide for microcontrollers
      • atom editor or vscode
      • platform-io
        • circuit python
        • arduino c++
    • micropython emulator
    • tinkercad account for virtual experiments

  • Hardware Development Kit (link to page)

    • Raspberry Pi Pico
    • breadboard
    • sensors
    • electronic components

Week 2.

• The Microcontroller: Raspberry Pi Pico
  • Programming with Micro-/Circuit- Python
    • emulate
    • install and run on hardware

Week 3.

• The Electronics and Sensors: A Brief Refresher
  • a refresher on electronics
  • prototyping with breadboards
    • emulate with tinkercad
    • our own hardware
  • introduction to our sensor kit

Week 4.

• Sensor Interfacing: Hardware and Software Details
  • wiring
  • coding for data recording
    • python
    • c++

Weeks 5 and 6.

• "statistical" machine learning: Elegant Arduino Approach
  • scikits-learn models on microcontrollers

Weeks 7 and 8.

• "fully-connected" neural networks: Google's tinyML Toolbox
  • making neural networks fit on a small machine