物联网概论

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课时相关：共63课时总时长16小时41分26秒

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本课程之目的是让学员能充份了解物联网各种相关技术与应用，在课程中介绍物联网相关的各种主题，包括自动识别、感测监控与定位追踪、智慧装置与普适运算 (Pervasive Computing)、相关之网路技术如机器与机器(Machine to Machine)通讯与无线感测网路(Wireless Sensor Network)、软体架构与中介软体(Middleware)、大数据(Big Data)与资料管理、安全与隐私等；课中也会讨论物联网在各种领域之应用。同时，课程里将提供两个实作的练习，放在网页上，学员可以随时上网且没有时限地按照步骤跟著练习。

第 1 章 Overview
10:59 课时1 Outline and Overview
16:22 课时2 A Conceptual View of IoT- Infrastructure
13:19 课时3 What is IoT and History
10:47 课时4 Enabling Technologies- part1
08:22 课时5 Enabling Technologies- part2
08:44 课时6 Enabling Technologies- part3
11:21 课时7 Enabling Technologies- par4, IoT Reference Architecture
13:42 课时8 Market, Major IoT Players and Course Experiments
第 2 章 Object Identification and Data Capture
09:58 课时9 Automatic Identification
19:39 课时10 RFID Briefs
09:56 课时11 RFID Principles II
09:13 课时12 RFID Principles III
20:33 课时13 RFID Applications I
15:43 课时14 RFID Applications II
08:45 课时15 Other Identification Technologies
10:18 课时16 Data Capture
第 3 章 Sensing, Location Tracking and Actuation
14:20 课时17 Sensing and Monitoring – Data Collection, and Devices
24:48 课时18 Sensing and Monitoring – Data Connection
25:26 课时19 Sensing and Monitoring -Data Mining and Analysis, Sensing and Monitoring
11:22 课时20 Sensing and Monitoring – E-Health
17:52 课时21 Sensing and Monitoring – mHealth, and Medical sensors
13:42 课时22 Sensing and Monitoring – Power Application, Location Tracking, and Position Identificatio
17:28 课时23 Location Tracking – Position Identification, Location Tracking, Sensing and Actuation
第 4 章 Intelligent Devices and Pervasive Computing
18:15 课时24 Intelligent Devices
28:22 课时25 Ambient Intelligence
20:44 课时26 Pervasive Computing
15:16 课时27 Potential Application & Contexts Awareness
13:27 课时28 Contexts Awareness
23:06 课时29 Application Scenarios
第 5 章 Machine to Machine Communications and Protocols
19:23 课时30 M2M System Architecture & Standards Development
19:03 课时31 ETSI M2M
13:16 课时32 M2M Platform
20:17 课时33 M2M Protocols
15:42 课时34 M2M Protocols & The Next Generation IP-based Protocols
16:53 课时35 The Next Generation IP-based Protocols
18:06 课时36 M2M & 3GPP
15:56 课时37 Wireless Sensors Networks part1
14:25 课时38 Wireless Sensors Networks part2
第 6 章 Software Architecture and Middleware
12:45 课时39 IoT Architectural Model - Current
23:21 课时40 IoT Architectural Model - Prospective & ITU-T M2M Reference Model
12:28 课时41 M2M Platform, Scenario of Sharing Data, and M2M Communications
14:28 课时42 IoT Protocols, and IoT Protocols – Wireless Communication
15:35 课时43 IoT Protocols – Wireless Communication
21:11 课时44 IoT Protocols – Networking, and IoT Protocols -Application
第 7 章 Big Data and Data Management
16:50 课时45 How IoT relates to big data
19:59 课时46 How IoT relates to big data, and Big Data Technology part I
19:13 课时47 Big Data Technology part II
14:53 课时48 Big Data Technology part III
09:08 课时49 Big Data Infrastructure
17:27 课时50 Big Data Applications
11:57 课时51 BIG Data Management
第 8 章 Security and Privacy
18:49 课时52 Network Security Brief
16:06 课时53 IoT Security Concerns
20:20 课时54 IoT Security Works part1
12:17 课时55 M2M Security Framework
19:31 课时56 IoT Privacy
17:07 课时57 IoT Security Standards and Challenges
第 9 章 Application Case Studies
20:25 课时58 Smart Environment
24:33 课时59 Smart Environment, and Smart Cities
12:56 课时60 Smart Agriculture part1
09:32 课时61 Smart Agriculture part2
17:52 课时62 Surveillance part1
07:53 课时63 Surveillance part2

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