教學大綱 Syllabus

科目名稱:抽樣方法

Course Name: Sampling Method

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

課程簡介Course Description

We will cover the following topics in this course: simple random sampling, stratified random sampling, systematic sampling, clustering sampling, multistage sampling, questionnaire design and related topics, and nonresponse data.

 

註:
1. 先備課程為(大學部)數理統計兩學期
2. 期中考的日期為暫訂日期,會視課程進度調整

 

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

    The objective of this course is to provide the students with fundamental concepts of various survey sampling methods as well as their related properties. Students are expected to be able to adopt adequate sampling methods in real applications and to know how to draw appropriate inference.

    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

     

    週次

    Week

    課程主題

    Topic

    課程內容與指定閱讀

    Content and Reading Assignment

    教學活動與作業

    Teaching Activities and Homework

    學生學習投入時間

    Student workload expectation

    課堂講授

    In-class Hours

    課程前後

    Outside-of-class Hours

    1

    (Sep. 11)

    Introduction

     Chapter 1

     Lecture

    3

    2

    2

    (Sep. 18)

    Simple Random Sampling

     Chapter 2

     Lecture

    3 2

    3

    (Sep. 25)

    Stratified Random Sampling

     Chapter 3

     Lecture

    3

    5

    4

    (Oct. 2)

    Stratified Random Sampling and Systematic Sampling

     Chapter 3

     Lecture

    3

    2

    5

    (Oct. 9)

    Cluster Sampling

     Chapter 4

     Lecture

    3

    2

    6

    (Oct. 16)

    Cluster Sampling

     Chapter 4

     Lecture

    3

    2

    7

    (Oct. 23)

    Two-Phase Sampling

     Chapter 9

     Lecture

    3

    2

    8

    (Oct. 30)

    Two-Phase Sampling

     Chapter 9

     Lecture

    3

    5

    9

    (Nov. 6)

    More Complex Estimation Problems

     Chapter 5

     Lecture

    3

    3

    10

    (Nov. 13)

    Midterm Exam

     

     

    3

    15

    11

    (Nov. 20)

    Ratio and Regression Estimation

     Chapter 6, 7, and 8

     Lecture

    3

    3

    12

    (Nov. 27)

    Ratio and Regression Estimation

     Chapter 6, 7, and 8

     Lecture

    3

    2

    13

    (Dec. 4)

    Variance Estimation

     Chapter 11

     Lecture

    3 2

    14

    (Dec. 11)

    Questionnaire Design

     

     Lecture

    3

    2

    15

    (Dec. 18)

    Nonresponse Data

     

     Lecture

    3

    2

    16

    (Dec. 25)

    Project Presentation

     

      Presentation

    3

    10

    17

    (Jan. 1, 2025)

    Happy New Year!

     

         

    18

    (Jan. 8, 2025)

    彈性學習周

     

         

     

    授課方式Teaching Approach

    90%

    講述 Lecture

    0%

    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

    Midterm Exam: 40%

    Project: 30%

    Homework: 20%

    Attendance/Participation: 10% 

     

     

    指定/參考書目Textbook & References

    Sarndal, Swensson, and Wretman. (1992). Model Assisted Survey Sampling. Springer-Verlag, New York. 

     

    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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    課程相關連結Course Related Links

    http://moodle.nccu.edu.tw/

    課程附件Course Attachments

    課程進行中,使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    需經教師同意始得使用 Approval

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