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
111-1	307235	大數據分析	1	3.0	3	★	王正豪 鄭麗珍	管理外國學生專班 資財所	23	4	計中電腦教室,IMBA&IMFI&資財所

教學大綱與進度：

教師姓名	陳俊豪　教師諮商時間(Office Hours)
Email	chchen6814@gmail.com
最後更新時間	2022-05-26 00:04:40
課程大綱	本課程介紹大數據在各個領域決策制定的應用，課程內容包括大數據分析與應用、大數據管理、大數據分法與策略、資料探勘介紹、資料探勘方法、大數據平台、大數據行銷實務、大數據個案分析、期末專題製作與報告。學生可以經由多個案例學習大數據的應用實務、目前技術與未來發展方向。 This course explores the rapidly developing fields of big data for the efficiency of decision making in various fields. The topics are about basic concepts of data manipulations, analytic, and communications which are including: introduction to big data; basic knowledge of data mining; special topics of big data in business Analytics, and data analytic project. The course will help students careful consideration of what is desired from big data, how big data analytic to add value to business, etc. Students can gain a strong data science knowledge set and techniques via in-depth case studies, most current readings and experiences, and most current and future technology exploration.
課程進度	Topic I: Association Analysis Week 1: Introduction to Association Analysis Week 2: Association Analysis implementation in Python Topic II: Clustering Analysis Week 3: Introduction to Clustering Analysis Week 4: Clustering Analysis implementation in Python Topic III: Introduction to Classification Week 5: Classification implementation in Python Topic IV: Project Demonstration Week 6: Project Demonstration
評量方式與標準	Attendance：30％ Mark of usual：30％ Project Presentation: 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：否 Python for Finance (Analyze Big Financial Data, Yves Hilpisch, O'Reilly Media, 2014. Deep Learning, Ian Goodfellow, Yoshua Bengio and Aaron Courville Data Mining : Concepts and Techniques, 3/e (Hardcover), Jiawei Han, Micheline Kamber, Jian Pei, 2011.
課程諮詢管道	1. Send email to me: chchen@ntut.edu.tw, or 2. Come to my office (Wednesday 11:00~12:00AM )
備註	If needed, Google Meet will be used as the online teaching tool.