教學大綱 Syllabus

科目名稱：統計實務

Course Name: Statistical Practices
  • 學年學期：112-2 Spring Semester, 2024
  • 科目代碼：354813001 Course No.354813001

修別：選

Type of Credit: Elective

3.0

學分數

Credit(s)

30

預收人數

Number of Students

課程資料Course Details
  • 開課單位：統計碩一、統計碩二、統計碩三、統計碩四 Course Department:Statistics/M/1&2&3&4
  • 授課老師：余清祥 Instructor: YUE CHING-SYANG
  • 先修科目：無Prerequisite(N/A)
  • 上課時間：三234 Session: wed09-12

課程簡介Course Description

The objective of this course is to provide the students with the essential and fundamental concepts of problem solving in statistics. The topics include “Define Problem”, “Data Collection”, “Statistical Analysis”, and “Decision & Interpretation.” At the end of this course, the students should be able to define the real problem. There are six homework assignments designed to meet our requirements: 

  1. Problem Definition: Standard Operating Procedure of Problem Definition , Pitfalls and Examples of Problem Definition (Weeks 1~3)
  2. Data Collection: Sampling Design, Quetionaire Design,  (Weeks 4~5)
  3. Exploratory Data Analysis: Data Cleaning, Data Visualization, Data-driven Skills (Weeks 6~8)
  4. Statistical Analysis for questionnaires: Chi-square Test, Tests of Sample Representativeness (Weeks 9~10)
  5. Mid-term Project: Empirical Studies (Weeks 11~12)
  6. Advanced Statistical Analysis: Generalized Linear Model, Multivariate Analysis (Weeks 13~14) 
  7. Presentation and Interpretation: Writing and Presentation Skills (Weeks 15~16)
  8. Case Study: Empirical Analysis of Big Data (Weeks 17~18)

Homework is due on Tuesday afternoon at 2 and no late homework will be accepted. In addition to the regular bi-weekly homework, there will be in-class assignments and discussion. Therefore, the class participation is also counted in the final grade. The students will be grouped into 2 or 3 persons. The homework and in-class discussions are team-based.

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

    This course covers a broad range of topics and no single textbooks can cover all the materials in this class. Instead, the instructor will prepare power point files for each class and suggested references will be given to the students in class. The students can download the teaching materials at my homepage.

     

     

    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

    Session

    Assignment

    1

    Course Introduction

    2

    Problem Definition

    3

    Problem Definition, Assignment #1

    4

    Data Collection (Experimental Design)

    5

    Data Collection (Sampling Survey),

    Assignment #2

    6

    Questionnaire Design

    7

    Exploratory Data Analysis, Assignment #3

    8

    Analysis of Questionnaire Data

    9

    Sampling Survey Cases Study (1)

    10

    Sampling Survey Cases Study (2),

    Assignment #4

    11

    Advanced Statistical Analysis (1)

    12

    Advanced Statistical Analysis (2),

    Assignment #5

    13

    Advanced Statistical Analysis (3)

    14

    Presentation Skills, Assignment #6

    15

    Oral Presentation

    16

    Final Report

    授課方式Teaching Approach

    60%

    講述 Lecture

    15%

    討論 Discussion

    15%

    小組活動 Group activity

    10%

    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

    There are regularly based homework, in-class discussion, and one final report. The homework counts 45%, the in-class discussion 20%, and the final report 35%.

    指定/參考書目Textbook & References

    The following are some references for the first 3 weeks of class.

    1. Strategies for Creative Problem Solving (1995), H. S. Fogler and S. E. LeBlanc, Prentice Hall.
    2. Tainted Truth (1996), C. Crossen, Chinese version published by China Times.
    3. The Cartoon Guide to Statistics (1993), L. Gonick and W. Smith, Chinese version published by Common Wealth Publishing Co.

    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

    維護智慧財產權，務必使用正版書籍。 Respect Copyright.

    課程相關連結Course Related Links

    http://csyue.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

    列印