物聯網概論(英文授課)

Introduction to Internet of Things

學期

109-1

學分

3 學分

當期課號

1161

永久課號

DCP3119

開課單位

資訊工程學系

授課教師

林盈達

校區

光復

類別

選修

上課時間表

節	週一
3 10:10–11:00	物聯網概論(英文授課) ED302 3 節連堂
4 11:10–12:00
N 12:20–13:10

* 根據陽明交大上課時間表所列

概述

The course is organized into 3 main parts, comprising of a total of 11 chapters. Part I covers the building blocks of Internet of Things (IoTs) and their characteristics. A taxonomy of IoT systems is comprising of various IoT levels with increasing levels of complexity. Domain specific Internet of Things and their real-world applications are described. A generic design methodology for IoT is presented. An IoT system management approach using NETCONF-YANG is described. Part II introduces the reader to the programming aspects of Internet of Things with a view towards rapid prototyping of complex IoT applications. Python is chosen as the primary programming language for this course, and an introduction to Python is also included within the text to bring readers to a common level of expertise. We describe packages, frameworks and cloud services including the WAMP-AutoBahn, Xively cloud and Amazon Web Services which can be used for developing IoT systems. We choose the Raspberry Pi device as the examples. Reference architectures for different levels of IoT applications are examined in detail. Case studies with complete source code for various IoT domains including home automation, smart environment, smart cities, logistics, retail, smart energy, smart agriculture, industrial control and smart health, are described. Part III introduces the reader to advanced topics on IoT including IoT data analytics and Tools for IoT. Case studies on collecting and analyzing data generated by Internet of Things in the cloud are described. The loading for students includes (1) Q&A in flipped classroom (number of questions and answers are counted), (2) two-person project demo: 3 assignments (video demo with verbal explanation of the codes) and 1 final demo with a report (video demo grown from 3 assignments with verbal explanation of the codes, a 6-page written report), and (3) open-book final exam. Course slides are downloadable from the course homepage. Class lectures are in English. In each week of 3 hours, the first two hours would be lectured by the instructor while the third hour is flipped classroom where Q&A is conducted by students with the instructor being the moderator.

先修科目

Familiarity with a high-level programming language. (Python is used in this course. A brief tutorial on Python is given in the class for chapter 6.)

教學方式

Internet of Things: A Hands-on Approach, Arshdeep Bahga and Vijay Madisetti, Hands On Books Series, August 2014. http://www.hands-on-books-series.com/iot.html; online resources: http://www.hands-on-books-series.com/students.html

評分方式

Q&A in flipped classroom 21%, assignment video demo (x3) 24%, project final video demo with a written report 25%, open-book final exam 30%

週次計畫

週次

主題

第 1 週

Important dates: 10/5 (Mon): distribution of Raspberry Pi devices to students + a list of available sensors 10/26 (Mon): 1-page project proposal, with topic, objective, and spec for assignments 1, 2, 3, and final demo 10/26, 11/23, 12/14 (Mon): uploaded video demo for assignments 1, 2, and 3 12/21 (Mon): open-book final exam 1/4 (Mon): uploaded final video demo and a 6-page report with topic, objective, specification, system design, module implementation, demonstration, and reference

第 2 週

Course Outline: Part I Introduction and Concepts 1. Introduction to Internet of Things (9/14) 2. Domain Specific IoTs (9/21) 3. IoT and M2M (9/28) Assignment 1: Connecting sensors to Raspberry Pi (lecture: 10/5, video demo: 10/26) 1-page project proposal (10/26) 4. IoT System Management with NETCONF-YANG (10/12) Part II Developing Internet of Things 5. IoT Platforms - Design Methodology(10/19) 6. IoT Systems - Logical Design using Python(10/26) 7. IoT Physical Devices & Endpoints(11/2) Assignment 2: Storing sensor data to the cloud (lecture: 11/9, demo: 11/23) 8. IoT Physical Servers & Cloud Offerings (11/16) 9. Case Studies Illustrating IoT Design (11/23) Assignment 3: Computing sensor data on the cloud (lecture: 11/30, video demo: 12/14) Part III Advanced Topics 10. Data Analytics for IoT (12/7) 11. Tools for IoT (12/14) Fianl Open-book final exam (12/21) Final video demo and report

教科書