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

111-1 309831 網路行銷研究與資料分析 1 3.0 3 ★ 劉祐綸管理外國學生專班
資財所
國際金融科技專班 15 2 IMBA&IMFI&經管所&資財所

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	309831	網路行銷研究與資料分析	1	3.0	3	★	劉祐綸	管理外國學生專班資財所國際金融科技專班	15	2	IMBA&IMFI&經管所&資財所

教學大綱與進度：

教師姓名劉祐綸　教師諮商時間(Office Hours)

Email y.l.liu@ntut.edu.tw

最後更新時間 2022-05-26 12:07:29

課程大綱 In day-to-day life, consumers and companies generate large amounts of data all over the web that could provide valuable and useful business insights. Marketing research is the process of harnessing the Internet data and putting the data to meaningful use. Marketing research provides a link between the consumer and public, through information that is used to identify and define marketing opportunities and problems, to initiate marketing action, and to improve marketing performance. This module aims to provide students with an understanding of the methods used in digital marketing research, and their roles in supporting marketing decisions. The module addresses the stages of the digital marketing research process, from identification of the problems and definition of the research objectives, to the presentation, visualisation and interpretation of research findings.

課程進度 1 Introduction to marketing research 2 Quantitative Methods I - Experiment Part A 3 Quantitative Methods II - Experiment Part B 4 Example paper discussion – Experimental method [Presentation I] 5 Quantitative Methods III - Survey Part A 6 Quantitative Methods IV - Survey Part B 7 Quantitative Methods V - Survey Part C 8 Mid-term exam week (no class) 9 Example paper discussion – Survey method [Presentation II] 10 Qualitative methods I - Projective Techniques 11 Qualitative methods II - Interview and Diary studies 12 Qualitative methods III - Coding 13 Example paper discussion – Qualitative method [Presentation III] 14 Mixed Method 15 Discussing findings, drawing recommendations and conclusions writing the research report

評量方式與標準 Group video presentation (30%) In-class group exam (open book, administered on computer; 3 hours) (40%) Individual report (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
Sponder, M. and Khan, G. (2017). Digital analytics for marketing. 1st ed. New York: Routledge. ISBN- 10: 0789750309

課程諮詢管道 email: y.l.liu@ntut.edu.tw
Line messenger ID: yulunliu820

備註
Google meet: https://meet.google.com/ojr-tmfr-tca

教師姓名	劉祐綸　教師諮商時間(Office Hours)
Email	y.l.liu@ntut.edu.tw
最後更新時間	2022-05-26 12:07:29
課程大綱	In day-to-day life, consumers and companies generate large amounts of data all over the web that could provide valuable and useful business insights. Marketing research is the process of harnessing the Internet data and putting the data to meaningful use. Marketing research provides a link between the consumer and public, through information that is used to identify and define marketing opportunities and problems, to initiate marketing action, and to improve marketing performance. This module aims to provide students with an understanding of the methods used in digital marketing research, and their roles in supporting marketing decisions. The module addresses the stages of the digital marketing research process, from identification of the problems and definition of the research objectives, to the presentation, visualisation and interpretation of research findings.
課程進度	1 Introduction to marketing research 2 Quantitative Methods I - Experiment Part A 3 Quantitative Methods II - Experiment Part B 4 Example paper discussion – Experimental method [Presentation I] 5 Quantitative Methods III - Survey Part A 6 Quantitative Methods IV - Survey Part B 7 Quantitative Methods V - Survey Part C 8 Mid-term exam week (no class) 9 Example paper discussion – Survey method [Presentation II] 10 Qualitative methods I - Projective Techniques 11 Qualitative methods II - Interview and Diary studies 12 Qualitative methods III - Coding 13 Example paper discussion – Qualitative method [Presentation III] 14 Mixed Method 15 Discussing findings, drawing recommendations and conclusions writing the research report
評量方式與標準	Group video presentation (30%) In-class group exam (open book, administered on computer; 3 hours) (40%) Individual report (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 Sponder, M. and Khan, G. (2017). Digital analytics for marketing. 1st ed. New York: Routledge. ISBN- 10: 0789750309
課程諮詢管道	email: y.l.liu@ntut.edu.tw Line messenger ID: yulunliu820
備註	Google meet: https://meet.google.com/ojr-tmfr-tca