Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	351757	Big Data Analytics and Industrial Applications	1	3.0	3	★	Chen-Shu Wang Wu, Mu-en Lin Shu Ling Sung-Shun Weng	EMBA - BM 資財EMBA EMBA - IEM	41	0	(群組7) 資訊管理(關聯群3)

Course Plan：

Instructor	Lin Shu Ling　Office Hours
Email	shuling@ntut.edu.tw
Last Updated	2025-10-06 23:54:02
Course Objective	本課程將介紹大數據分析緣起與理論基礎，大數據分析與企業經營間之獲利關聯，並輔以大數據分析案例讓學員對於大數據應用有更深層的認識與啟發。 The big data opportunity, extracting insight from an immense volume, variety and velocity of data, in context, beyond what was previously possible, will be addressed in this course. Applications for big data analytics could include smarter healthcare, multi-channel, finance, computer log analysis, homeland security, traffic control, telecom, search quality, manufacturing, trading analytics, fraud and risk, retailing, among others.
Course Schedule (Week 1-16)	1. 資料視覺化(Data Visualization)與視覺化報表 2. 數據分析(Analyze Data)與分析結果簡報
Evaluation and grading policy	1. 出席與課堂參與討論狀況: 50% 2. 資料視覺化與分析之簡報: 50%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 教師自編講義。
The access to curricular consultation	shuling@ntut.edu.tw 或 shulingntut@gmail.com
Expanding teaching and resources
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note