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 357209 Cyber Data Analysis 1 3.0 3 ★ Chen, Shiang-Jiun GCSIE
IEECSG
MSIS 27 0 Jointly offered by Computer Science department.

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	357209	Cyber Data Analysis	1	3.0	3	★	Chen, Shiang-Jiun	GCSIE IEECSG MSIS	27	0	Jointly offered by Computer Science department.

Course Plan：

Instructor Chen, Shiang-Jiun　Office Hours

Email annette@ntut.edu.tw

Last Updated 2025-12-17 14:02:32

Course Objective 本課程主要探索分析不實訊息的方法，透過這門課將學習到異常訊息、社交工程、傳播路徑及深度造假等對不實訊息分析的技術, 包含語意分析、帳號識別分析及傳播路徑對不實訊息的影響分析。 This course is mainly to explore the methods of analyzing false information. Through this course, you will learn the techniques of analyzing false information, such as abnormal information, social engineering, propagation path and deep fake, including semantic analysis, account identification analysis and propagation path. Analysis of the impact of false information.

Course Schedule Wk1: Overview Wk2: Introduction of the false information Wk3-5: Text Analysis Methods for Misinformation Wk6-8: Social engineering (Types & Methods) Wk9-12: Propagation Path analysis (Method and techniques) Wk13-15: Network traffic analysis and tools introduction Wk16-18: Project presentation and case study

Evaluation and grading policy Quiz: 30% Indivisual Project: 20% Team project 50% (presentation 20% +slides 30%)

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
/Use of self-made materials

The access to curricular consultation email: annette@ntut.edu.tw
office hours Mon. 10:10-12:00 13:00-18:00
zuvio
line

The course corresponds to the SDGs SDG1：消除貧窮（No Poverty）
SDG3：良好健康和福祉（Good Health and Well-being）
SDG4：優質教育（Quality Education）

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）

Note
any question can send annette@ntut.edu.tw
online class:
https://teams.microsoft.com/l/meetup-join/19%3axsvuO2YaQ7TXPk23eQB4cGyyQ37f2qm64Xl8y216te81%40thread.tacv2/1716788443968?context=%7b%22Tid%22%3a%22dfb5e216-2b8a-4b32-b1cb-e786a1095218%22%2c%22Oid%22%3a%22e76dac58-aaf1-4870-ade0-205d1a64f218%22%7d

Instructor	Chen, Shiang-Jiun　Office Hours
Email	annette@ntut.edu.tw
Last Updated	2025-12-17 14:02:32
Course Objective	本課程主要探索分析不實訊息的方法，透過這門課將學習到異常訊息、社交工程、傳播路徑及深度造假等對不實訊息分析的技術, 包含語意分析、帳號識別分析及傳播路徑對不實訊息的影響分析。 This course is mainly to explore the methods of analyzing false information. Through this course, you will learn the techniques of analyzing false information, such as abnormal information, social engineering, propagation path and deep fake, including semantic analysis, account identification analysis and propagation path. Analysis of the impact of false information.
Course Schedule	Wk1: Overview Wk2: Introduction of the false information Wk3-5: Text Analysis Methods for Misinformation Wk6-8: Social engineering (Types & Methods) Wk9-12: Propagation Path analysis (Method and techniques) Wk13-15: Network traffic analysis and tools introduction Wk16-18: Project presentation and case study
Evaluation and grading policy	Quiz: 30% Indivisual Project: 20% Team project 50% (presentation 20% +slides 30%)
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No /Use of self-made materials
The access to curricular consultation	email: annette@ntut.edu.tw office hours Mon. 10:10-12:00 13:00-18:00 zuvio line
The course corresponds to the SDGs	SDG1：消除貧窮（No Poverty） SDG3：良好健康和福祉（Good Health and Well-being） SDG4：優質教育（Quality Education）
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）
Note	any question can send annette@ntut.edu.tw online class: https://teams.microsoft.com/l/meetup-join/19%3axsvuO2YaQ7TXPk23eQB4cGyyQ37f2qm64Xl8y216te81%40thread.tacv2/1716788443968?context=%7b%22Tid%22%3a%22dfb5e216-2b8a-4b32-b1cb-e786a1095218%22%2c%22Oid%22%3a%22e76dac58-aaf1-4870-ade0-205d1a64f218%22%7d