Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2025	343227	E-Marketing and data analysis	1	3.0	3	★	Cheng, Li-Chen	GIFM CMGT	19	0	資財四甲.資財所和管理博班合開

Course Plan：

Instructor	Cheng, Li-Chen　Office Hours
Email	jessicacheng@mail.ntut.edu.tw
Last Updated	2025-01-21 16:44:27
Course Objective	中文授課 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
Course Schedule	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
Evaluation and grading policy	Attendance: 10% 課堂作業: 40% Paper presentation ~30% final project: 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 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.
The access to curricular consultation	lijen.cheng@gmail.com
Expanding teaching and resources
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure） SDG17：夥伴關係（Partnerships for the Goals）
Does the course incorporate AI
Note	1. 開學周課程問題將透過北科 i 學園 公告，之後主要是zuvio 同學如有加退選簽核或課程問題請 email: lijen.cheng@gmail.com 信件標題 [網路行銷與數據分析] 2.因應疫情防疫規定，可能調整教學方式 遠距教學，預計使用教學軟體: 微軟的 teams