國立中山大學 110學年度第2學期 課程教學大綱

National Sun Yat-sen University 110Academic year Course syllabus

Course name(Chinese)


Course Code


Course name(English)


Type of the course










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,授課方式調整如下:Since COVID-19, if distance learning is necessary, the teaching methods would adjust as follows:

         同步遠距【透過網路直播技術,同時進行線上教學,得採Microsoft Teams、Adobe connect等軟體進行】
同步遠距含錄影【透過網路直播技術,同時進行線上教學並同時錄影,課程內容可擇日再重播,得採Microsoft Teams、Adobe connect等軟體進行】


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 Projects100%

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 is course is the first 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.
Hence, our team will provide you a basic training about coding, a training about statistical analysis software (for doing regressions), and an introduction of geographic information system (for handling spatial data). Hence, to let you be able to correctly understand or explain the relationship among variables, you need knowledge regarding statistical inference and regressions. Therefore, if you want to take this course, you need also take (or at least, audit) another course I teach in this semester, INDUSTRIAL ECONOMICS (BM625), where I will teach you how to use plenty of industrial or market data to quickly catch an insight into a market or industry. In that course, we will probably spend 1.5 months to introduce some advanced regression methods.
Finally, because there is a ceiling for the number of students each teacher can guide, students who have enrolled in BM625 will have a priority to enroll in this course. Moreover, I will also divide this class into several groups. We will deal with these issue in the first week (2/17). If you are interested in this one-year training, you are advised to attend the first lecture of 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.

授課方式 Teaching methods

         Lecture, Discussion, and Data Science Projects

評分方式﹝評分標準及比例﹞Evaluation (Criteria and ratio)等第制單科成績對照表 letter grading reference

1.Class Participation and Discussion30%
2.Group Projects70%

參考書/教科書/閱讀文獻 Reference book/ textbook/ documents
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

WeekDateContent and topic
12022/02/13~2022/02/19Course Introduction and Grouping
22022/02/20~2022/02/26An Introduction of Python
32022/02/27~2022/03/05An Introduction of Python
42022/03/06~2022/03/12An Introduction of Python
52022/03/13~2022/03/19An Introduction of Python
62022/03/20~2022/03/26An Introduction of Statistical Software (STATA)
72022/03/27~2022/04/02Seminar: Presentation of MA Students
82022/04/03~2022/04/09Seminar: Presentation of MA Students
92022/04/10~2022/04/16Midterm; Meeting Suspended
102022/04/17~2022/04/23Seminar: Presentation of MA Students
112022/04/24~2022/04/30Seminar: Presentation of PhD Students
122022/05/01~2022/05/07Seminar: Presentation of Undergraduate Students
132022/05/08~2022/05/14An Introduction of Geographic Information System Software (QGIS)
142022/05/15~2022/05/21An Introduction of Geographic Information System Software (QGIS)
152022/05/22~2022/05/28Seminar: Presentation of MA Students
162022/05/29~2022/06/04Seminar: Presentation of MA Students
172022/06/05~2022/06/11Seminar: Presentation of MA Students

課業討論時間 Office hours

         時段1 Time period 1:
時間 Time:星期三1000-1200
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

basic disciplines and core capabilities of the department and the university
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. V V V V    
2.溝通能力與團隊合作(Communication ability and team cooperation) 2. Communication ability and team cooperation.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(Ethics and social responsibilities) 4. Ethics 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 skillsV V V V    
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilitiesV V V V   V
3.終身學習能力。 3. Lifelong learningV V V V   V
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           
9.山海胸襟與自然情懷。 9. Broad-mindedness and the embrace of nature            

本課程與SDGs相關項目:The course relates to SDGs items:

SDG1-消除貧窮(No Poverty)
SDG2-消除飢餓 (Zero Hunger)
SDG3-良好健康與福祉(Good Health and Well-being)
SDG4-教育品質(Quality Education)
SDG5-性別平等(Gender Equality)
SDG6-乾淨水源與公共衛生(Clean Water and Sanitation)
SDG7-可負擔乾淨能源(Affordable and Clean Energy)
SDG8-優質工作與經濟成長(Decent Work and Economic Growth)
SDG9-工業、創新和基礎建設(Industry,Innovation and Infrastructure)
SDG10-減少不平等(Reduced Inequalities)
SDG11-永續城市(Sustainable Cities and Communities)
SDG12-責任消費與生產(Responsible Consumption and Production)
SDG13-氣候行動(Climate Action)
SDG14-海洋生態(Life Below Water)
SDG15-陸域生態(Life on Land)
SDG16-和平、正義和穩健的制度(Peace,Justice And Strong Institutions)
SDG17-促進目標實現的全球夥伴關係(Partnership for the Goals)

本課程校外實習資訊: This course is relevant to internship:

The course includes internship.(For statistical use only. If the course without internship, please ignore this item.)


Internship: The required or elective courses should include credits and learning hours. Students should participate in the corporative company or institution to practice and learn the real skills. An internship certification must be handed in at the end of internship to get the credits or to fulfil the graduation requirements.