Instructor: Dr. Li
Email: xhli@citytech.cuny.edu
Course URL: http://citytechrobotics.org/teaching/cet4925/
Weekly Schedule
| Topics | Notice on Course Project |
|---|---|
Week 1:
Intro to the course, course project, project videos, and project ideas.
Ch 1: Intro and Architecture of IoT: history, applications, examples
Team-up; Research/brainstorm project ideas; Order Photon
Week 2:
Ch 1: Intro and Architecture of IoT (Contd): Architecture, ecosystems
Team-up finishes; Research/ brainstorm project ideas. Start to order parts/components
Week 3:
Ch 2: Physical computing platforms for IoT: MCU, MPU/SBC, PLC and FPGA; and comparison of all platforms
Lab 1: Get started with Photon
Get project approved by instructor; Search & order parts & supplies
Week 4:
Ch 3: Review/Primer of C++ OOP Programming
Ch 4: I/O for IoT
Lab 2: Input with Photon (digital/analog): temperature or IR sensor
Lab 3: Output with Photon (digital/analog), Dimmer light, DC brushed motor, DC servo motor or text LCD display
Discuss project design; Divide the jobs; Continue ordering parts
Week 5:
Ch 5: Connectivity Technologies: From FieldBus and WSN, to WiFi/Celluar/ZigBee/BLE/Z-Wave/RuBee, and the latest Thread, LoRa, Sigfox and NB-IoT
Continue with project design; Continue ordering parts
Week 6:
Ch 6 & Lab 4: IoTing via IFTTT
Midterm project proposal due in two weeks
Continue with project design; Continue ordering parts; Start to develop project proposal
Week 7:
Ch 7: IoT Cloud — Introduction and ReST
Lab 5: Intro to IBM Watson IoT Platform (Quickstart)
Handout: Get Started with IBM Watson IoT Platform
Handout: Dr. Li’s example code of sending data to IBM Watson IoT Platform Quickstart
Continue with project design; Finish ordering parts; Start to build the project — the physical platform.
Midterm project proposal due next week
Week 8:
Ch 7: IoT Cloud (contd.) — MQTT
Lab 6: Using MQTT to send data to IBM Watson IoT Platform & Data visualization
Handout: Visualize real-time data by IBM Watson IoT Platform
Handout: Dr. Li’s example code of sending data for visualization on IBM Watson IoT Platform
Link: MQTT library for Photon: https://github.com/hirotakaster/MQTT
Continue building the project;
Project proposal Due! See Blackboard for the exact due date.
Week 9:
Ch 7: IoT Cloud (contd) — Node-RED
Lab 7: Node-RED app to tweet an alert message according to remote sensor readings
Handout: Dr. Li’s Example Node-RED flow for generating Twitter alert messages
Continue building the project: system physical platform is in shape; program and test sensors
Week 10:
Ch 7: IoT Cloud (contd) — Data Analytics and Cloud Computing for IoT
Lab 8: Control remote devices via Node-RED and IBM Cloud
Handout: Dr. Li’s example code on Photon subscribing & responding to string commands from IBM Cloud
Handout: Example Node-RED flow for sending commands to remote devices
Handout: Another Example Code: Photon subscribes and responds to JSON-formatted commands from IBM Cloud
Continue building the project: program and test actuators
Week 11:
Ch 7: IoT Cloud (contd) — AWS IoT
Lab 9A: IoTing via AWS — AWS IoT Core
Handout: A Brief instruction on using Particle CLI to create a project, compile and flash the code to Photon
MQTT.fx: a MQTT client software (very handy! Highly recommended for testing MQTT connection!)
How to use MQTT.fx: an example connection profile (screenshot); and an simple guide (link here)
Lab 9B: IoTing via AWS — Node-RED with AWS EC2
Finish setting up IoT Cloud and coding on the Cloud
Week 12:
Ch 7: IoT Cloud (contd) — AWS IoT
Lab 10: IoTing via AWS — Lambda Functions for IoTing
Lab 11: IoTing via AWS — AWS Greengrass, and Mesh Network (optional)
Week 13:
Week 14:
Project hours
Test and refine the entire system
Week 15:
Final project demonstration