Course Syllabus

Course Information：

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

Spring Semester
Year 2026 359336 Cloud and IoT Security 1 3.0 3 ★ Chang, Shih-Hao 4CSIE4 2 0 資工四與資工所合開

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	359336	Cloud and IoT Security	1	3.0	3	★	Chang, Shih-Hao	4CSIE4	2	0	資工四與資工所合開

Course Plan：

Instructor Chang, Shih-Hao　Office Hours

Email sh.chang@ntut.edu.tw

Last Updated 2025-12-19 17:26:52

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. 物聯網網介紹 9. 物聯網安全與隱私保護 10 .物聯網與機器學習概念。11. 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，13物聯網攻擊面，14 物聯網安全實務保護策略，15 期末專題製作，16 期末專題製作，17 期末專題報告， 18 期末專題報告

Course Schedule Week 1: Course Introduction Week 2: Google Cloud Tutorial Week 3: Google Cloud Core Infrastructure (I) Week 4: Google Cloud Core Infrastructure (II) Week 5: Google Cloud Compute Engine Week 6: Google Cloud Storage & Networking Week 7: Google Cloud Kubernetes Engine (GKE) Week 8: Google Cloud Cybersecurity Security Week 9: Midterm Assessment and Practical Exam Week 10: Introduction to the Internet of Things (IOT) Week 11: IoT and Machine Learning Concepts (I) Week 12: IoT and Machine Learning Concepts (II) Week 13: IoT Attack Surface Week 14: Security risks and threats of IoT devices Week 15: IoT Security Practice Protection Strategies (I) Week 16: IoT Security Practice Protection Strategies (II) Week 17 Final Project Report Assessment Week 18 Final Project Report Assessment 第 1 週：課程介紹第 2 週：Google Cloud 教學第 3 週：Google Cloud 核心基礎架構（一）第 4 週：Google Cloud 核心基礎架構（二）第 5 週：Google Cloud Compute Engine 第 6 週：Google Cloud 儲存與網絡第 7 週：Google Cloud Kubernetes Engine (GKE) 第 8 週：Google Cloud 網路安全第 9 週：期中評估與實作考試第 10 週：物聯網 (IoT) 簡介第 11 週：物聯網與機器學習概念（一）第 12 週：物聯網與機器學習概念（二）第 13 週：物聯網攻擊面第 14 週：物聯網設備的安全風險與威脅第 15 週：物聯網安全實務保護策略（一）第 16 週：物聯網安全實務保護策略（二）第 17 週：最終專案報告評估第 18 週：最終專案報告評估

Evaluation and grading policy Mid-term evaluation: 20.0% Final project report assessment: 20.0% Regular quizzes : 15% Homework assessment: 30.0% Attendance rate: 15.0% 期中評量：25.0 % 期末專題報告評量：25.0 % 平時小考：15.0 % 回家作業評量： 30.0 % 出席率：15.0 %

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 ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
　

Instructor	Chang, Shih-Hao　Office Hours
Email	sh.chang@ntut.edu.tw
Last Updated	2025-12-19 17:26:52
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. 物聯網網介紹 9. 物聯網安全與隱私保護 10 .物聯網與機器學習概念。11. 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，13物聯網攻擊面，14 物聯網安全實務保護策略，15 期末專題製作，16 期末專題製作，17 期末專題報告， 18 期末專題報告
Course Schedule	Week 1: Course Introduction Week 2: Google Cloud Tutorial Week 3: Google Cloud Core Infrastructure (I) Week 4: Google Cloud Core Infrastructure (II) Week 5: Google Cloud Compute Engine Week 6: Google Cloud Storage & Networking Week 7: Google Cloud Kubernetes Engine (GKE) Week 8: Google Cloud Cybersecurity Security Week 9: Midterm Assessment and Practical Exam Week 10: Introduction to the Internet of Things (IOT) Week 11: IoT and Machine Learning Concepts (I) Week 12: IoT and Machine Learning Concepts (II) Week 13: IoT Attack Surface Week 14: Security risks and threats of IoT devices Week 15: IoT Security Practice Protection Strategies (I) Week 16: IoT Security Practice Protection Strategies (II) Week 17 Final Project Report Assessment Week 18 Final Project Report Assessment 第 1 週：課程介紹第 2 週：Google Cloud 教學第 3 週：Google Cloud 核心基礎架構（一）第 4 週：Google Cloud 核心基礎架構（二）第 5 週：Google Cloud Compute Engine 第 6 週：Google Cloud 儲存與網絡第 7 週：Google Cloud Kubernetes Engine (GKE) 第 8 週：Google Cloud 網路安全第 9 週：期中評估與實作考試第 10 週：物聯網 (IoT) 簡介第 11 週：物聯網與機器學習概念（一）第 12 週：物聯網與機器學習概念（二）第 13 週：物聯網攻擊面第 14 週：物聯網設備的安全風險與威脅第 15 週：物聯網安全實務保護策略（一）第 16 週：物聯網安全實務保護策略（二）第 17 週：最終專案報告評估第 18 週：最終專案報告評估
Evaluation and grading policy	Mid-term evaluation: 20.0% Final project report assessment: 20.0% Regular quizzes : 15% Homework assessment: 30.0% Attendance rate: 15.0% 期中評量：25.0 % 期末專題報告評量：25.0 % 平時小考：15.0 % 回家作業評量： 30.0 % 出席率：15.0 %
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	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note