因應嚴重特殊傳染性肺炎(武漢肺炎)，倘若後續需實施遠距授課，評分方式調整如下：Since COVID-19, if distance learning is necessary, the evaluation would adjust as follows:
1.Group Projects：100%
課程大綱 Course syllabus
本課程教學大綱已提供完整英文資訊（本選項僅供統計使用，未提供完整英文資訊者，得免勾記）【Provide information of course syllabus in English.(This is for statistical use only. For those who do not provide information of course syllabus in English, do not check this field.)】
This course is the second part of a one-year training. In this training, through completing a data science project, we will let you know how to use data science to get an insight to markets. We will extensively collect and clean lots of on-line and off-line data, and find possible correlations among variables. Then, you have to combine your business background knowledge with these finding of correlations, and get your own insights on markets or evaluate effects of different marketing strategies. Through completing this project, we will also let you know the idea of evidence-based management. In the first part of this one-year training, we have provided you a basic training about coding (R), statistical analysis software (STATA), and an introduction of geographic information system (for handling spatial data). Moreover, to let you be able to correctly understand or explain the relationship among variables, we have also taught you basic knowledge regarding statistical inference and regressions, and also some advanced regression methods, such as instrumental variable regression, quantile regression, and survival analysis. Therefore, in this course, based on this training, you will keep working on your data science project, and in the end of this semester, you should compose a market analysis report, which provides an insight based on the data you collect. If your group uses private data from a specific company, we will also invite managers from these companies in your final presentation. Moreover, because you need knowledge regarding statistical inference and regressions, and also some coding and computer skills, if you do not have skills and knowledge mentioned above, and are not working with students taking Seminar in Marketing Management I in a data science project, I do not recommend you to take this course.
課程目標 Objectives
1. Understand the idea of evidence-based management. 2. Know how to use data science methods to get market insights and evaluate the effects of different marketing strategies. 3. Through exploring data about real business worlds, you can verify and enhance your business background knowledge.
1.Class Participation and Discussion：30% 2.Group Projects：70%
參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
〔請遵守智慧財產權觀念，不可非法影印。教師所提供之教材供學生本人自修學習使用,不得散播及做為商業用途〕
No copies for intellectual property rights. Textbooks provided by the instructor used only for self-study, can not broadcast or commercial use
According to your projects, we will give you different books/papers/documents.
每週課程內容及預計進度 Weekly scheduled progress
週次
日期
授課內容及主題
Week
Date
Content and topic
1
2020/09/06~2020/09/12
Introduction
2
2020/09/13~2020/09/19
Seminar: Presentation of MA Students
3
2020/09/20~2020/09/26
Seminar: Presentation of MA Students
4
2020/09/27~2020/10/03
Moon Festival
5
2020/10/04~2020/10/10
Seminar: Presentation of MA Students
6
2020/10/11~2020/10/17
Seminar: Presentation of MA Students
7
2020/10/18~2020/10/24
Seminar: Presentation of Undergraduate Students
8
2020/10/25~2020/10/31
Seminar: Presentation of Undergraduate Students
9
2020/11/01~2020/11/07
Seminar: Presentation of Undergraduate Students
10
2020/11/08~2020/11/14
Midterm; Meeting Suspended
11
2020/11/15~2020/11/21
Seminar: Presentation of MA Students
12
2020/11/22~2020/11/28
Final Presentation: Undergraduate Students
13
2020/11/29~2020/12/05
Final Presentation: Undergraduate Students
14
2020/12/06~2020/12/12
Final Presentation: Undergraduate Students
15
2020/12/13~2020/12/19
Seminar: Presentation of MA Students
16
2020/12/20~2020/12/26
Seminar: Presentation of MA Students
17
2020/12/27~2021/01/02
Seminar: Presentation of MA Students
18
2021/01/03~2021/01/09
Seminar: Presentation of MA Students
課業討論時間 Office hours
時段1 Time period 1: 時間 Time：星期三1600-1800 地點 Office/Laboratory：CM4067 時段2 Time period 2： 時間 Time：星期四1400-1600 地點 Office/Laboratory：CM4067
系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilitics of the dcpartment and the university
系所學生專業能力/全校學生基本素養與核心能力 basic disciplines and core capabilities of the department and the university
課堂活動與評量方式 Class activities and evaluation
本課程欲培養之能力與素養 This course enables students to achieve.
紙筆考試或測驗 Test.
課堂討論︵含個案討論︶ Group discussion (case analysis).
個人書面報告、作業、作品、實驗 Indivisual paper report/ assignment/ work or experiment.
群組書面報告、作業、作品、實驗 Group paper report/ assignment/ work or experiment.
個人口頭報告 Indivisual oral presentation.
群組口頭報告 Group oral presentation.
課程規劃之校外參訪及實習 Off-campus visit and intership.
證照/檢定 License.
參與課程規劃之校內外活動及競賽 Participate in off-campus/ on-campus activities and competitions.
課外閱讀 Outside reading.
※系所學生專業能力 Basic disciplines and core capabilities of the department
1.基礎的管理知識(General knowledge of business management) 1. General knowledge of business management.
2.溝通能力與團隊合作(communication and team cooperation) 2. Communication and team cooperation.
V
V
V
V
V
3.問題解決能力(ability of problem solution) 3. Ability of problem solution.
V
V
V
V
V
4.倫理觀與社會責任實踐(ethical and social responsibilities) 4. Ethical and social responsibilities.
5.國際觀(global perspective) 5. Global perspective.
※全校學生基本素養與核心能力 Basic disciplines and core capabilities of the university
1.表達與溝通能力。 1. Articulation and communication skills
V
V
V
V
V
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilities
V
V
V
V
V
3.終身學習能力。 3. Lifelong learning
4.倫理與社會責任。 4. Ethnics and social responsibility
5.美感品味。 5. Aesthetic appreciation
6.創造力。 6. Creativity
7.全球視野。 7. Global perspective
8.合作與領導能力。 8. Team work and leadership
V
V
V
V
V
9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature