Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2025 342790 Cloud and IoT Security 1 3.0 3 ★ Chang, Shih-Hao GCSIE
IEECSG
MSIS 35 0 Course jointly offered with Computer Science

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	342790	Cloud and IoT Security	1	3.0	3	★	Chang, Shih-Hao	GCSIE IEECSG MSIS	35	0	Course jointly offered with Computer Science

Course Plan：

Instructor Chang, Shih-Hao　Office Hours

Email sh.chang@ntut.edu.tw

Last Updated 2025-02-17 14:20:59

Course Objective This course will introduce Google Cloud Computing related technologies and provide students with a comprehensive understanding of Google Cloud platform, architecture, services, and programming through the application of machine learning and IoT in railway systems. The course content includes: 1. Google cloud system architecture, storage network and virtualization technology, 2. Google cloud storage technology, 3. Google cloud scheduling technology, performance and security, 4. Google virtualized data center construction, 5. Google cloud services and enterprise applications, 6. Introduction to IoT technology 7. IoT standards and applications 8. Introduction to Industrial IoT network 9. IoT security and privacy protection 10. IoT internship courses and special projects. Therefore, before the midterm exam, we will mainly introduce the Google cloud system architecture. After the midterm exam, we will start to introduce the Internet of Things and its development trends. In the 11th week, we will introduce the Internet of Things information security issues and trends. In the 12th week, we will introduce the Internet of Things information security detection technology. In the 13th week, we will make a special topic at the end of the 14th week. In the 15th week, we will make a special topic at the end of the 16th week. In the 17th week, we will introduce the Internet of Things information security detection technology and practice. In the 18th week, we will make a special topic report at the end. 本課程將導入 Google 雲端運算相關技術，並透過鐵道系統應用機器學習與物聯網應用實例讓學生對Google 雲端平台、架構、服務、程式設計有全面性瞭解。課程內容包括： 1. Google 雲端系統架構、儲存網路與虛擬化技術， 2. Google雲端儲存技術，3.Google 雲端排程技術、效能與安全，4.Google 虛擬化資料中心建置，5.Google 雲端服務與企業應用，6. 物聯網技術簡介 7. 物聯網標準與應用 8. 工業物聯網網介紹 9. 物聯網安全與隱私保護 10 .IoT 實習課程與專題計畫。因此期中考前主要介紹 Google 雲端系統架構, 期中考後將開始介紹物聯網與發展趨勢，第11週物聯網資訊安全問題與趨勢，第12週物聯網資訊安全檢測技術，第13週期末專題製作，第 14 週期末專題製作，第 15 週期末專題製作，第16週期末專題報告，第 17 週物聯網資訊安全檢測技術與實作，第 18 物聯網安全風險評估

Course Schedule Week 1 Google Cloud Concepts Week 2 Google Cloud Computing Technology Week 3 Google Cloud Virtualization Technology (Invited Speaker: Railway system application as an example) Week 4 Google Cloud Storage Networking and Virtualization Week 5 Google Cloud Architecture and Classification Week 6 Google Cloud Services and Administration Week 7 Google Cloud Performance and Security Management Week 8 Google Cloud Practical Exam Week 9 Midterm Assessment Week 10 Introduction to the Internet of Things, the principles and practical applications of sensors Week 11: Writing IoT Control Programs Week 12 IoT circuit design and monitoring platform description Week 13 Internet of Things and Machine Learning Concepts Week 14: IoT and Machine Learning Concepts (Invited Speaker: Supervised Learning and Unsupervised Learning) Week 15 Final Project Week 16 Final Project Week 17 Final Project Report Assessment Week 18 Final Project Report Assessment 第一周 Google 雲端概念第二週 Google 雲端運算技術第三週 Google 雲端虛擬化技術 (邀請講師: 鐵道系統應用為實例說明) 第四週 Google 雲端存儲網路技術和虛擬化第五週 Google 雲端架構和分類第六週 Google 雲端服務和管理第七週 Google 雲端性能與安全管理第八週 Google 雲端實作考試第九週期中評量第十週物聯網簡介，感測器的原理及實際應用第十一週物聯網控制程式之撰寫第十二週物聯網電路設計與監控平台說明第十三週物聯網與機器學習概念第十四週物聯網與機器學習概念 (邀請講師: 監督式學習與非監督式學習) 第十五週期末專題製作第十六週期末專題製作第十七週期末專題報告評估第十八週期末專題報告評估

Evaluation and grading policy Mid-term evaluation: 20.0% Final project report assessment: 20.0% Regular quizzes and homework assessment: 30.0% Attendance rate: 20.0% 期中評量：20.0 % 期末專題報告評量：20.0 % 平時小考與回家作業評量： 30.0 % 出席率：20.0 %

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Book 1： Google Cloud Platform Administration : Design Highly Available, Scalable, and Secure Cloud Solutions on GCP Author: Ranjit Singh Thakurratan Packt Publishing Publications, 2018 Book 2：Practical Industrial Internet of Things Security: A practitioner's guide to securing connected industries Kindle Edition Author: Sravani Bhattacharjee Packt Publishing, 2018

The access to curricular consultation Email： sh.chang@ntut.edu.tw
Phone: 02 27712171 #4230

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI

Note
　

Instructor	Chang, Shih-Hao　Office Hours
Email	sh.chang@ntut.edu.tw
Last Updated	2025-02-17 14:20:59
Course Objective	This course will introduce Google Cloud Computing related technologies and provide students with a comprehensive understanding of Google Cloud platform, architecture, services, and programming through the application of machine learning and IoT in railway systems. The course content includes: 1. Google cloud system architecture, storage network and virtualization technology, 2. Google cloud storage technology, 3. Google cloud scheduling technology, performance and security, 4. Google virtualized data center construction, 5. Google cloud services and enterprise applications, 6. Introduction to IoT technology 7. IoT standards and applications 8. Introduction to Industrial IoT network 9. IoT security and privacy protection 10. IoT internship courses and special projects. Therefore, before the midterm exam, we will mainly introduce the Google cloud system architecture. After the midterm exam, we will start to introduce the Internet of Things and its development trends. In the 11th week, we will introduce the Internet of Things information security issues and trends. In the 12th week, we will introduce the Internet of Things information security detection technology. In the 13th week, we will make a special topic at the end of the 14th week. In the 15th week, we will make a special topic at the end of the 16th week. In the 17th week, we will introduce the Internet of Things information security detection technology and practice. In the 18th week, we will make a special topic report at the end. 本課程將導入 Google 雲端運算相關技術，並透過鐵道系統應用機器學習與物聯網應用實例讓學生對Google 雲端平台、架構、服務、程式設計有全面性瞭解。課程內容包括： 1. Google 雲端系統架構、儲存網路與虛擬化技術， 2. Google雲端儲存技術，3.Google 雲端排程技術、效能與安全，4.Google 虛擬化資料中心建置，5.Google 雲端服務與企業應用，6. 物聯網技術簡介 7. 物聯網標準與應用 8. 工業物聯網網介紹 9. 物聯網安全與隱私保護 10 .IoT 實習課程與專題計畫。因此期中考前主要介紹 Google 雲端系統架構, 期中考後將開始介紹物聯網與發展趨勢，第11週物聯網資訊安全問題與趨勢，第12週物聯網資訊安全檢測技術，第13週期末專題製作，第 14 週期末專題製作，第 15 週期末專題製作，第16週期末專題報告，第 17 週物聯網資訊安全檢測技術與實作，第 18 物聯網安全風險評估
Course Schedule	Week 1 Google Cloud Concepts Week 2 Google Cloud Computing Technology Week 3 Google Cloud Virtualization Technology (Invited Speaker: Railway system application as an example) Week 4 Google Cloud Storage Networking and Virtualization Week 5 Google Cloud Architecture and Classification Week 6 Google Cloud Services and Administration Week 7 Google Cloud Performance and Security Management Week 8 Google Cloud Practical Exam Week 9 Midterm Assessment Week 10 Introduction to the Internet of Things, the principles and practical applications of sensors Week 11: Writing IoT Control Programs Week 12 IoT circuit design and monitoring platform description Week 13 Internet of Things and Machine Learning Concepts Week 14: IoT and Machine Learning Concepts (Invited Speaker: Supervised Learning and Unsupervised Learning) Week 15 Final Project Week 16 Final Project Week 17 Final Project Report Assessment Week 18 Final Project Report Assessment 第一周 Google 雲端概念第二週 Google 雲端運算技術第三週 Google 雲端虛擬化技術 (邀請講師: 鐵道系統應用為實例說明) 第四週 Google 雲端存儲網路技術和虛擬化第五週 Google 雲端架構和分類第六週 Google 雲端服務和管理第七週 Google 雲端性能與安全管理第八週 Google 雲端實作考試第九週期中評量第十週物聯網簡介，感測器的原理及實際應用第十一週物聯網控制程式之撰寫第十二週物聯網電路設計與監控平台說明第十三週物聯網與機器學習概念第十四週物聯網與機器學習概念 (邀請講師: 監督式學習與非監督式學習) 第十五週期末專題製作第十六週期末專題製作第十七週期末專題報告評估第十八週期末專題報告評估
Evaluation and grading policy	Mid-term evaluation: 20.0% Final project report assessment: 20.0% Regular quizzes and homework assessment: 30.0% Attendance rate: 20.0% 期中評量：20.0 % 期末專題報告評量：20.0 % 平時小考與回家作業評量： 30.0 % 出席率：20.0 %
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Book 1： Google Cloud Platform Administration : Design Highly Available, Scalable, and Secure Cloud Solutions on GCP Author: Ranjit Singh Thakurratan Packt Publishing Publications, 2018 Book 2：Practical Industrial Internet of Things Security: A practitioner's guide to securing connected industries Kindle Edition Author: Sravani Bhattacharjee Packt Publishing, 2018
The access to curricular consultation	Email： sh.chang@ntut.edu.tw Phone: 02 27712171 #4230
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI
Note