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。

老白菜

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

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