國立中山大學 110學年度第1學期 課程教學大綱

National Sun Yat-sen University 110Academic year1st Semester 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:

2.Case Discussion10%
3.Group Project10%
5.Final Exam25%

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 will introduce students to data analysis and statistical inference for both continuous and categorical variables. Students will learn to describe data (quantitatively and graphically), to select and compute statistical estimates and conduct hypothesis tests, to use computer packages to perform parameter or model estimation, and to interpret and report the results of data analysis. General topics covered in class include: Descriptive Statistics, Probability & Sampling Distributions, Statistical Inference, Hypothesis Testing, Correlation, and Regression.

課程目標 Objectives

         1. Be familiar with basic statistical concepts, such as standard errors, confidence intervals
2. Be familiar with inferential statistics for both continuous and categorical variables
3. Be familiar with the general linear model applications
4. Be able to use the estimation and hypothesis testing procedures, and present a substantive interpretation of the analytic results
5. Be able to estimate and test hypotheses about the parameters in general linear models
6. Be able to set up and execute the statistical software program SPSS to perform data analysis using different analytical techniques

授課方式 Teaching methods

         Lecture & Discussion
Note. The first class on 9/23 (Thur) will be delivered online (through watching a video for introducing the course via Youtube). Students will receive the link by email. In addition, they will also receive a QR code to fill out basic information and propose any question related to the course.

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

2.Case Discussion10%
3.Group Project10%
5.Final Exam25%

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

         Required Textbook
1. Jaggia, S., & Kelly, A. (2019). Business Statistics (3rd edition). New York, NY: McGraw-Hill.
Recommended Readings
2. Doane, D. P., & Seward, L. E. (2016). Applied Statistics in Business and Economics (5th edition). New York, NY: McGraw-Hill.
3. Ott, R. L., & Longnecker, M. (2015). An Introduction to Statistical Methods and Data Analysis (7th edition). Belmont CA: Brooks/Cole.
4. Raykov, T., & Marcoulides, G. A. (2013). Basic Statistics: An Introduction with R. Lanham, MD: Rowman & Littlefield Publishers.
Supplemental Materials
Supplemental materials will be given (if any) and students are expected to read them before class.

每週課程內容及預計進度 Weekly scheduled progress

WeekDateContent and topic
12021/09/19~2021/09/25Course Overview
22021/09/26~2021/10/02Descriptive Statistics
32021/10/03~2021/10/09Introduction to SPSS
42021/10/10~2021/10/16Introduction to Probability I
52021/10/17~2021/10/23Introduction to Probability II
62021/10/24~2021/10/30Sampling Distributions & Confidence Intervals
72021/10/31~2021/11/06Hypothesis Testing
82021/11/07~2021/11/13Midterm Week
92021/11/14~2021/11/20Inference for Population Mean(s)
102021/11/21~2021/11/27Analysis of Variances
112021/11/28~2021/12/04Categorical Data: Inference for Population Proportion(s)
122021/12/05~2021/12/11Categorical Data: Chi-square Tests
142021/12/19~2021/12/25Simple Linear Regression I
152021/12/26~2022/01/01Simple Linear Regression II
162022/01/02~2022/01/08Group Presentations & Review
172022/01/09~2022/01/15Final Exam
182022/01/16~2022/01/22Extra Individual Task

課業討論時間 Office hours

         時段1 Time period 1:
時間 Time:星期二13:00~15:00
地點 Office/Laboratory:CM4081
時段2 Time period 2:
時間 Time:星期三10:00~12:00
地點 Office/Laboratory:CM4081

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.學生能夠辨識和理解國際經營管理環境中的跨文化問題,並能與不同文化背景者進行有效溝通。 1. Students are able to identify and understand cross-cultural issues as they arise in an international management context and can communicate effectively with people from different cultural backgrounds. V V V V   V
2.學生能了解國際商業環境中的倫理和社會責任問題,並能從多個利益關係者的角度加以批判性分析。 2. Students are aware of ethical and social responsibility issues that may arise in an international business context and are able to critically analyze these issues from the perspectives of multiple stakeholders.           
3.學生能以當代管理理論為基礎,辨別和分析全球商業環境中的關鍵性管理議題與挑戰。 3. Based on a strong foundation of contemporary management theories, students are able to identify and analyze key management challenges in the global business environment.           
4.學生具有全球視野的商業經營能力,並具備對區域和地方問題的認識與關懷。 4.Students develop a global vision on doing business, but maintain an awareness of regional and local issues.            
5.學生能發展批判性思考和問題解決的能力。 5.Students develop critical thinking skills and problem-solving abilities.VVV V V   V
※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   V
2.探究與批判思考能力。 2. Inquisitive and critical thinking abilitiesVVV 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 leadershipV V V V   V
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: