教學大綱 Syllabus

科目名稱：多變量分析

Course Name: Multivariate Analysis
  • 學年學期：112-2 Spring Semester, 2024
  • 科目代碼：354939001 Course No.354939001

修別：選

Type of Credit: Elective

3.0

學分數

Credit(s)

40

預收人數

Number of Students

課程資料Course Details
  • 開課單位：統計碩一 Course Department:Statistics/M/1
  • 授課老師：鄭宗記 Instructor: CHENG TSUNG-CHI
  • 先修科目：無Prerequisite(N/A)
  • 上課時間：四D56 Session: thu13-16

課程簡介Course Description

The objective of this course is to provide students with the fundamental knowledge of statistical concepts for multivariate data analysis and their most basic methodologies and techniques.

核心能力分析圖 Core Competence Analysis Chart

能力項目說明

    課程目標與學習成效Course Objectives & Learning Outcomes

    Students will be able to write R program to carry out multivariate data analyses and interpret the results.

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

     

    每週學習投入時數約六至八小時（含正課三小時及實習課兩小時）

    不定期作業與報告，配合上課進度與內容。

     

    第1週 Introduction

    第2-3週 Chapter 1 Comparison of Batches

    第3-4週 Chapter 11 Principal Components Analysis

    第5-6週 Chapter 12 Factor Analysis

    第7-8週 Chapter 13 Cluster Analysis

    第9週 期中考

    第10-11週 Chapter 14 Discriminant Analysis

    第12-13週 Chapter 15 Correspondence Analysis

    第14-15週 Chapter 16 Canonical Correlation Analysis

    第16-17週 Chapter 17 Multidimensional Scaling

    第18週 期末考

    授課方式Teaching Approach

    70%

    講述 Lecture

    20%

    討論 Discussion

    10%

    小組活動 Group activity

    0%

    數位學習 E-learning

    0%

    其他： Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Coursework  (30%), midterm exam (35%), and final exam (report) (35%).

     

    指定/參考書目Textbook & References

    Textbook:

    Härdle, W. K. and Simar, L. (2019). Applied multivariate statistical analysis. Springer Nature.

     

    Additional material related to the textbook can be found on the dedicated website: https://quantlet.com/

     

    References:

    1. Everitt, B. and Hothorn, T. (2011) An Introduction to Applied Multivariate Analysis with R, New York: Springer Verlag.
    2. Hair, J. F., Black, W. C., Babin, B. J., and Anderson, R. E. (2019). Multivariate Data Analysis. 8th ed., Hampshire: Cengage Learning EMEA.
    3. Johnson, R. A. and Wichern, D. W. (2007) Applied Multivariate Statistical Analysis, 6th ed., Upper Saddle River, N.J.: Pearson Education.
    4. Zelterman, D. (2015). Applied multivariate statistics with R. Basel, Switzerland: Springer International Publishing.

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

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