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

112-1 322390 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
資訊安全學位學程
創新資安學位學程
管理博所 20 0 資財四甲乙所、IMBA、電資資安、創新資安和管理博班合

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
112-1	322390	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資訊安全學位學程創新資安學位學程管理博所	20	0	資財四甲乙所、IMBA、電資資安、創新資安和管理博班合

教學大綱與進度：

教師姓名鄭麗珍　教師諮商時間(Office Hours)

Email jessicacheng@mail.ntut.edu.tw

最後更新時間 2023-06-11 13:42:25

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。這門課要閱讀期刊論文且要熟悉 python 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: data preprocessing and DM tool 1. Be familiar of business analytics potential and dangers in today’s data rich-environment 2. Gain experience using key data mining methods of classification, prediction, data reduction and exploration 3. Know how to decide when to use which technique 4. Be able to implement major data mining techniques using software Topic II paper study project development

評量方式與標準 paper study and presentation and feedback：20％ team proposal presentation & report：20％ Final team project report and presentation: 40% This course also discusses the journal paper to enhance the students' theoretical base NOTE: This is an advanced course. Student also should familiar with python

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
Data Mining for Business Analytics [Python Edition](link is external), John Wiley & Sons, 2019

課程諮詢管道 lijen.cheng@gmail.com
name class and question

課程對應SDGs指標

備註
teams

教師姓名	鄭麗珍　教師諮商時間(Office Hours)
Email	jessicacheng@mail.ntut.edu.tw
最後更新時間	2023-06-11 13:42:25
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。這門課要閱讀期刊論文且要熟悉 python 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: data preprocessing and DM tool 1. Be familiar of business analytics potential and dangers in today’s data rich-environment 2. Gain experience using key data mining methods of classification, prediction, data reduction and exploration 3. Know how to decide when to use which technique 4. Be able to implement major data mining techniques using software Topic II paper study project development
評量方式與標準	paper study and presentation and feedback：20％ team proposal presentation & report：20％ Final team project report and presentation: 40% This course also discusses the journal paper to enhance the students' theoretical base NOTE: This is an advanced course. Student also should familiar with python
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 Data Mining for Business Analytics [Python Edition](link is external), John Wiley & Sons, 2019
課程諮詢管道	lijen.cheng@gmail.com name class and question
課程對應SDGs指標
備註	teams