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Special Topics in Computer Networks

Term: Spring 2016, NTNU-CSIE

Instructor: Ling-Jyh Chen (Academia Sinica; cclljj@gmail.com)

Time: Tuesday 2-5pm

Location: NTNU Lib 801

Course Description

This is a project-printed course with focuses on IoT, smart city, and participatory urban sensing related issues. During the lectures, we will introduce the maker movement, IoT technology, and the concept of participatory urban sensing. There will be plenty of hand-on activities in the class, and this grading of this course will be based on the projects.

It is recommended (but not a must) that students bring their own laptops to the class activities, and it is expected that students carry out their own projects at the end of his course. All the IoT platforms and sensors will be prepared by the lecturer and distributed in the course. Basic programming and quick self-learning (by reading Internet documents) skills are required for taking this course.

Schedule

The weekly topics of this course are in the followings:

  1. 2/23, IoT/Maker overview & GitHub
  2. 3/1, Participatory Urban Sensing Overview & IoT Platform Overview
  3. 3/8, IoT: I2C Interface - T/H sensor
  4. 3/15, IoT: Digital and UART Interface - PM25 sensor
    • UART slides:
    • SoftwareSerial slides:
  5. 3/22, Smart City Summit & Expo (http://smartcity.org.tw/index.php)
    • IoT projects:
  6. 3/29, IoT: Data Communication - LoRa & WiFi
    • LoRa slides:
  7. 4/5, Holiday
  8. 4/12, Term Project Proposal
    • Topic
    • Device requirement (board, sensor, and others?)
    • Application scenario
    • Plan
  9. 4/19, IoT: Data Transmission - MQTT
  10. 4/26, IoT: Backend - ThingSpeak & IBM Bluemix
  1. 5/3, IoT: Data Analysis
  1. 5/10, Term Project Checkpoint (1)
  2. 5/17, IoT: Data Visualization
  1. 5/24, Working on the Term Project
  2. 5/31, Term Project Checkpoint (2)
  3. 6/7, Working on the Term Project
  4. 6/14, Cancelled
  5. 6/21, Term Project Presentation

Grading

There are no exams in this couse, and the grading of this course will be mainly based on the class participation and projects. The specific scoring percentage of each project is:

  • Participation: 10%
  • In-class assignments: 30%
  • Project Checkpoints: 20%
  • Term Project: 40%

Textbook and Office Hour

There are no textbooks in this course, but you are expected to read MANY technical articles on the Internet as the project goes. Please do feel free to contact the instructors if you have any questions about this course (and the projects).

Platform

  • MediaTek LinkIt Smart 7688 Duo
  • Realtek Ameba
  • Arduino Yun
  • Intel Edison

Sensor

  • Plantower PMS3003 PM2.5 Dust Sensor

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