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Textbook: Applied Multivariate Statistical Analysis (sixth edition)Auther: Richard A. Johnson and Dean W. Wichern

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Fu Jen Catholic University 2011-2012

Department / Code

(開課單位/單位代碼) Statistics and Information Science 統計資訊學系 / D76 Course Code

(課程代碼) C-7604-01445- (統資四)

Course Name (課程名稱)

多變量分析

Multivariate Statistical Analysis

Credit (學分數)

F S

2 2

Course Objectives (課程目標)

As data collection becomes more and more efficient and convenient, more features tend to be measured in each observation. This trend makes multivariate data analysis an important statistical technique nowadays. In this course, two objectives are the foundation for developing this course. First, the concept of multivariate data analysis methods, such as distance measure, multivariate control chart, principle component analysis, factor analysis, discrimination, classification, and clustering. The basic idea for each method will be introduced in the class, so that students will be familiar with the insight of methods. Second, the ability of performing real data analysis. How to use computer software, such as SPSS and R, to perform multivariate data analysis methods will also be introduced in this class.

Prerequisites

(先修課程) statistics ,calculus, linear algebra and Application of Statistics Package

Course Materials (課程教材)

Textbook: Applied Multivariate Statistical Analysis (sixth edition)

Auther: Richard A. Johnson and Dean W. Wichern

Reference (參考書目)

1. Multivariate Data Analysis (sixth addition). Auther: Hair, Black, Babin, Anderson, and Tatham.

2. Analyzing Multivariate Data. Auther: Lattin, Carroll, and Green.

Evaluation (評量方式)

課堂之前測(Pre-test) % 期末報告/論文撰述(Team Paper/Theses Writing) %

課堂中的隨堂測試(Quiz) % 課堂參與(Class Participation) 10%

期中考(筆試)(Midterm Test) 40% 心得/作業撰寫(Assignment) %

課堂後測/期末考(筆試)(Final Test) 50% 專題發表(Presentation) %

學生表現側寫報告(Profile Report) % 課堂上實作演練(Role Playing) %

個案分析報告撰寫(Case Report) % 專業團體之證照檢定(Certification) %

個別面試或口試(Oral Exam) % 其他(Others) %

Pedagogical Methods (教學方法)

講授(Lecture)

個案教學(Case Study)

電子教學(e-Learning)

體驗教學(Project Adventure)

角色扮演實境教學(Role Playing)

企業競賽遊戲(Business Simulation Game)

競賽讀書會(Study Group)

專題實作(Seminar on Field Research)

產業實習(Intership)

服務學習實作(Service Learning)

自主學習(Independent Study)

對話教學法(Dialogue Teaching)

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管理電影(Theater Learning) 其他

Course Web (課程網頁)

http://life.stat.fju.edu.tw/huang/

(黃孝雲課程輔助教學網頁)

Course Outline (課程大綱進度)

Contribution to Mission

(本課程與管理學院 使命之關係)

全人教育 (Holistic Education)

做中學

(Learning by doing)

人本價值

(Human-centric values)

整合資源 (Resource integration)

創新知識

(Innovative knowledge)

國際視野 (International view)

Contribution to learning goals (本課程能達成開課 單位的哪些目標-院)

1.厚植分析及解決問題之能力。

Each student should be able to analyze and solve management problems.

■2.應用管理知識與運用資訊科技之能力。

Each student should be able to use management knowledge and information technology.

■3.轉化倫理於行動,並落實人本關懷。

Each student should be willing to show human compassion and render professional services as an ethical practice.

■4.開拓國際視野,並展現國際化特性。

Each student should be able to cultivate a global view and exhibit the characteristics of internationalization.

Contribution to learning goals (本課程能達成開課

1.厚植統計與資訊知識之基礎。

Provide a strong grounding in basic statistics and information knowledge.

■2.訓練具有善用資訊科技,並運用統計方法解決問題之能力。

Train skills in using information technology for carrying out statistical analysis.

Week Date Topic

1 2/15 Factor analysis and inference I 2 2/22 Factor analysis and inference II 3 2/29 Factor analysis and inference III 4 3/7 Discrimination and Classification I 5 3/14 Discrimination and Classification II 6 3/21 Discrimination and Classification III 7 3/28 Discrimination and Classification IV 8 4/4 Class Off

9 4/11 Midterm

10 4/18 Clustering, Distance Methods, and Ordination I 11 4/25 Clustering, Distance Methods, and Ordination II 12 5/2 Clustering, Distance Methods, and Ordination III 13 5/9 Clustering, Distance Methods, and Ordination IV 14 5/16 Analysis of Repeated Measures Data I

15 5/23 Analysis of Repeated Measures Data II 16 5/30 Analysis of Repeated Measures Data III 17 6/6 Analysis of Repeated Measures Data IV 18 6/13 Final

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單位的哪些目標-系)

■3.蘊育善盡社會責任及服務人群之特質。

Nurture a sense of social responsibility and service spirit.

■4.開拓國際視野,並展現國際化特性。

Each student should be able to cultivate a global view and exhibit the characteristics of internationalization.

■5.培養跨領域知識整合之能力。

Encourage developing the ability to integrate knowledge from other fields.

Instructor (老師資料)

Name:Hsiao-Yun Huang (黃孝雲) E-mail:[email protected] Phone: (02)2905-3940

Office Hour: Thursday 13:00~15:00 Office Room: SL 474

Other considerations

1. To keep the class in a acceptable lecturing condition, students who break the order will be fined by taking off 5 points from their overall score.(為使

上課能順利進行,若破壞上課秩序者,每次扣總成績5 分)

2. Students who are absent in the tests will get ‘0’ as their score unless with hard evidence. (缺考者若無明確事由之證明,該次考試以零分計算)

參考文獻

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