Type of Credit: Elective
Credit(s)
Number of Students
本課程首先介紹工業物聯網及相關技術、發展趨勢，協助學生了解相關應用。接下來介紹工業物聯網之架構及元件，從感知、收集、傳輸、至處理，及相關協定與對應資安議題，讓學生具備工業物聯網全觀認知。課程接續介紹OT營運技術之資安架構、標準、並透過案例說明OT資安防護應用。課程另擬規劃國內工業物聯網相關企業參訪，增進課程產學聯結並促進學生就業觀。
This course first introduces the IIoT (Industrial Internet of Things), the related technologies, and development trends, to help students understand related applications. Next, the architectures and components of the IIoT are introduced, from sensing, collection, transmission, to processing, as well as related protocols and corresponding cybersecurity issues, so that students can have a comprehensive understanding of the IIoT. Then the course introduces the cybersecurity architectures and the international standards of OT (Operation Technology), and illustrates the application of OT security protection through cases. The course also plans to visit IIoT-related enterprise, and include co-lecturing by industry experts, to enhance the connection between industry and academia and promote students' prospects.
能力項目說明
1. 具備了解與分析工業物聯網系統概念。
2. 具備跨域整合、解析工業物聯網領域資安議題能力。
3. 具備發掘問題、分析歸納、與解決問題能力。
4. 洞悉工業物聯網資安發展趨勢及並瞭解國際標準。
1. Understand and analyze the concepts of IIoT systems.
2. The ability to integrate across domains and analyze information security issues in the field of IIoT.
3. The ability to explore problems, analyze, summarize, and solve problems.
4. Understand the development trends of IIoT cybersecurity and international standards.
Note:
1. The following is a preliminary course schedule. Course schedule may change and the actual course content will be posted on the Moodle page.
2. The course also plans to visit IIoT-related enterprise and include co-lecturing by industry experts, for at least 6 hours, to enhance the connection between industry and academia and promote students' prospects.
|
週次 Week |
課程主題 Topic |
課程內容與指定閱讀 Content and Reading Assignment |
教學活動與作業 Teaching Activities and Homework |
學習投入時間 Student workload expectation |
|
|
課堂講授 In-class Hours |
課程前後 Outside-of-class Hours |
||||
|
01 09/03 |
Intro. to IIoT |
Syllabus. Overview of Internet of Things. |
|
3 |
3 |
|
02 09/10 |
Intro. to IIoT |
Introduction to IIoT and Industry 4.0. |
|
3 |
3 |
|
03 09/17 |
Intro. to IIoT |
Industry 4.0 Basics. IIoT Basics. |
V |
3 |
3 |
|
04 09/24 |
Intro. to IIoT |
Business Models and Reference Architecture of IIoT |
|
3 |
3 |
|
05 10/01 |
IIoT Tech. and Security |
Off-Site Technologies and Security Issues |
V |
3 |
3 |
|
06 10/08 |
IIoT Tech. and Security |
On-Site Technologies and Security Issues |
|
3 |
3 |
|
07 10/15 |
Sensors and Actuators |
Sensors. Actuators |
|
3 |
3 |
|
08 10/22 |
Midterm |
Midterm & Self-directed Learning |
|
6 |
6 |
|
09 10/29 |
Industrial Data Transmission and Security |
Industrial Data Transmission and Security |
|
3 |
3 |
|
10 11/05 |
Industrial Data Acquisition and Control |
Industrial Data Acquisition and Control |
V |
3 |
3 |
|
11 11/12 |
IIoT Analytics and |
IIoT Analytics and |
|
3 |
3 |
|
12 11/19 |
Applications |
Applications in Industries. Inventory Management and QC |
V |
3 |
3 |
|
13 11/26 |
Plant Safety and Security. |
Plant Safety and Security. |
|
3 |
3 |
|
14 12/03 |
Cybersecurity Standards in IACS |
International Cybersecurity Standards for OT in Industrial Automation and Control Systems. |
V |
3 |
3 |
|
15 12/10 |
Term Project Presentation |
Term Project Presentation |
|
3 |
6 |
|
16 12/17 |
Final Exam |
Final Exam & Self-directed Learning |
|
6 |
6 |
The scoring criteria are tentatively set as follows:
Homework: 40%
Midterm: 40%
Term Project: 20%
本課程有條件開放使用生成式AI工具：
修課同學若使用生成式AI工具，需於作業或報告中的「標題頁註腳」或「引用文獻後」簡要說明如何使用生成式AI進行議題發想、文句潤飾或結構參考等使用方式。
若經查核使用生成式AI工具，卻未於作業或報告中標明，授課教師有權針對作業或報告重新評分或不予計分。
修讀本課程同學於選課時即視為同意以上有條件開放使用生成式AI工具聲明。
This course is conditionally open to use Generative AI tools:
If students use Generative AI tools, they need to briefly explain how to use Generative AI for topic development, sentence polishing, or structural reference in the "footnote of title page" or "references" in the assignments or reports.
If the student uses Generative AI tools but does not indicate them in the assignments or reports, the teacher has the right to regrade or deny the assignments or reports.
Students taking this course will be deemed to have agreed to the above statement of conditional open use of Generative AI tools when registering for the course.
1. Introduction to Industrial Internet of Things and Industry 4.0, 1st ed., 2020. (Sudip Misra, Chandana Roy, and Anandarup Mukherjee. CRC Press).
2. Industrial Cybersecurity - Second Edition: Efficiently monitor the cybersecurity posture of your ICS environment, 2nd ed., 2021. (Pascal Ackerman. Packt Publishing)
3. Hands-On Industrial Internet of Things: Create a Powerful Industrial IoT Infrastructure Using Industry 4.0, 2018. (Giacomo Veneri and Antonio Capasso. Packt Publishing).
4. IoT and Edge Computing for Architects: Implementing Edge and IoT Systems from Sensors to Clouds with Communication Systems, Analytics, and Security, 2nd ed., 2020. (Perry Lea. Packt Publishing).
| 書名 Book Title | 作者 Author | 出版年 Publish Year | 出版者 Publisher | ISBN | 館藏來源* | 備註 Note |
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To be announced.