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

109-2 285418 網路行銷與數據分析 1 3.0 3 ★ 鄭麗珍管理外國學生專班
資財所
國際金融科技專班
管理博所 15 0 ◎資財四甲&IMBA&IMFI&資財所&管理博班

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
109-2	285418	網路行銷與數據分析	1	3.0	3	★	鄭麗珍	管理外國學生專班資財所國際金融科技專班管理博所	15	0	◎資財四甲&IMBA&IMFI&資財所&管理博班

教學大綱與進度：

教師姓名鄭麗珍

Email jessicacheng@mail.ntut.edu.tw

最後更新時間 2020-12-22 06:42:17

課程大綱 E-Marketing involves information technology and marketing. The course will explore information technology/systems concepts from a non-technical perspective and examine how the marketing function is influenced by emerging technology trends. In addition, some famous e-marketing technique would be introduced in this course including recommended system, customer segmentation and so on. This course also discusses the journal paper to enhance the students' theoretical base NOTE: This is an advanced course. Student should take a prerequirement course "Big Data Analytics". Student also should familiar with python

課程進度 Part I: e marketing concepts 1. E marketing in context 2. E marketing environment 3. E marketing strategy 4. D E marketing management Part II: Data analysis of E marketing concepts 1. Recommended system 2. Opinion mining 3. Social network analysis 4 .Customer segmentation Part III: paper presentation Part IV: project presentation

評量方式與標準 Attendance: 10% Participation and discussion every week: 30% Paper presentation ~30% final term project: 30%

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: Concepts, Techniques, and Applications in Python (First Edition) Galit Shmueli, Peter C. Bruce, Peter Gedeck, and Nitin R. Patel (c) 2019 John Wiley & Sons, Inc. Bing Liu Sentiment Analysis : Mining Opinions, Sentiments, and Emotions, 2015 E-marketing 8th edition, Raymond D. Frost, Alexa Fox, Judy Strauss, 2018 Recent academic papers, tutorials, and slides.

課程諮詢管道

備註

教師姓名	鄭麗珍
Email	jessicacheng@mail.ntut.edu.tw
最後更新時間	2020-12-22 06:42:17
課程大綱	E-Marketing involves information technology and marketing. The course will explore information technology/systems concepts from a non-technical perspective and examine how the marketing function is influenced by emerging technology trends. In addition, some famous e-marketing technique would be introduced in this course including recommended system, customer segmentation and so on. This course also discusses the journal paper to enhance the students' theoretical base NOTE: This is an advanced course. Student should take a prerequirement course "Big Data Analytics". Student also should familiar with python
課程進度	Part I: e marketing concepts 1. E marketing in context 2. E marketing environment 3. E marketing strategy 4. D E marketing management Part II: Data analysis of E marketing concepts 1. Recommended system 2. Opinion mining 3. Social network analysis 4 .Customer segmentation Part III: paper presentation Part IV: project presentation
評量方式與標準	Attendance: 10% Participation and discussion every week: 30% Paper presentation ~30% final term project: 30%
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: Concepts, Techniques, and Applications in Python (First Edition) Galit Shmueli, Peter C. Bruce, Peter Gedeck, and Nitin R. Patel (c) 2019 John Wiley & Sons, Inc. Bing Liu Sentiment Analysis : Mining Opinions, Sentiments, and Emotions, 2015 E-marketing 8th edition, Raymond D. Frost, Alexa Fox, Judy Strauss, 2018 Recent academic papers, tutorials, and slides.
課程諮詢管道
備註