查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-2 359329 資料探勘 1 3.0 3 ★ 黃有評電機所
電資外生所 0 0 電機所和電資外生合開,預選40人

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-2	359329	資料探勘	1	3.0	3	★	黃有評	電機所電資外生所	0	0	電機所和電資外生合開,預選40人

教學大綱與進度：

教師姓名黃有評　教師諮商時間(Office Hours)

Email yphuang@ntut.edu.tw

最後更新時間 2025-12-17 13:51:38

課程大綱 Scope: This course is to introduce useful data mining techniques for students. We hope that students can learn more fundamental and advanced skills in the competitive mobile commerce world. “Necessity is the mother of invention”—Data mining—Automated analysis of massive data sets. Data mining (knowledge discovery from data) : Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data.

課程進度 1: Introduction 2~3: Data preprocessing 4~6: Mining association rules in large databases 7~8: Classification and prediction 9: Mid-term exam 10~11: Cluster analysis 12~13: Mining complex types of data 14~15: Spatial and temporal data mining 16~17: Advanced topics in data mining 18: Final exam

評量方式與標準 1. Mid-term 30% 2. Final-exam 30% 3. HWs 40%

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Textbook: J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers Lecture notes will be available to download from iPlus.

課程諮詢管道 We have office hours, line communication, email, etc for curricular consultation.

課程對應SDGs指標 SDG4：優質教育（Quality Education）
SDG5：性別平等（Gender Equality）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

課程是否導入AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）

備註
1. Contact email: yphuang@ntut.edu.tw
2. Just in case we need to have virtual classes, then we will use Google meet:
https://meet.google.com/mkg-yrsk-bss

教師姓名	黃有評　教師諮商時間(Office Hours)
Email	yphuang@ntut.edu.tw
最後更新時間	2025-12-17 13:51:38
課程大綱	Scope: This course is to introduce useful data mining techniques for students. We hope that students can learn more fundamental and advanced skills in the competitive mobile commerce world. “Necessity is the mother of invention”—Data mining—Automated analysis of massive data sets. Data mining (knowledge discovery from data) : Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data.
課程進度	1: Introduction 2~3: Data preprocessing 4~6: Mining association rules in large databases 7~8: Classification and prediction 9: Mid-term exam 10~11: Cluster analysis 12~13: Mining complex types of data 14~15: Spatial and temporal data mining 16~17: Advanced topics in data mining 18: Final exam
評量方式與標準	1. Mid-term 30% 2. Final-exam 30% 3. HWs 40%
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Textbook: J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers Lecture notes will be available to download from iPlus.
課程諮詢管道	We have office hours, line communication, email, etc for curricular consultation.
課程對應SDGs指標	SDG4：優質教育（Quality Education） SDG5：性別平等（Gender Equality） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
課程是否導入AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI）
備註	1. Contact email: yphuang@ntut.edu.tw 2. Just in case we need to have virtual classes, then we will use Google meet: https://meet.google.com/mkg-yrsk-bss