1749 - 實驗設計 英授 Taught in English

Experimental Design

教育目標 Course Target

The objective of this course is to provide students with knowledge in experimental design and corresponding methods of data analysis. The topics cover CRD, RCBD, Factorial Designs
(fixed, mixed and random models), Nested Designs, Split-plot Design, Cross over design, Repeated measurement, Analysis of Covariance, Incomplete Block Design, Fractional factorial Design and Response Surface. Students also learn SAS coding for analyzing data.

The objective of this course is to provide students with knowledge in experimental design and corresponding methods of data analysis. The topics cover CRD, RCBD, Factorial Designs
(fixed, mixed and random models), Nested Designs, Split-plot Design, Cross over design, Repeated measurement, Analysis of Covariance, Incomplete Block Design, Fractional factorial Design and Response Surface. Students also learn SAS coding for analyzing data.

課程概述 Course Description

The subject of experimental design is important due to its widespread use in many areas of scientific research. The topic of this course will include introduction of the principles of experimental designs and randomization, the process of design and corresponding analysis of variance. We shall introduce many important designs, such as completely randomized design, randomized block design, Latin type design, nested design, factorial design, incomplete design, split-plot design, cross over design, and response surface design. It is essential that students obtain a firm understanding of the philosophical basis and of the principles of experimental design as well as a broad knowledge of available designs together with their assumptions and application. The students also need to learn how to derive a liner model from a specific design. Based on linear model theory, they should be able to derive the statistical inferences of various designs.

The subject of experimental design is important due to its widespread use in many areas of scientific research. The topic of this course will include introduction of the principles of experimental designs and randomization, the process of design and corresponding analysis of variation. We shall introduce many important designs, such as completely randomized design, randomized block design, Latin type design, nested design, factorial design, incomplete design, split-plot design, cross over design, and response surface design. It is essential that students obtain a firm understanding of the philosophical basis and of the principles of experimental design as well as a broad knowledge of available designs together with their assumptions and application. The students also need to learn how to derive a liner model from a specific design. Based on linear model theory, they should be able to derive the statistical inferences of various designs.

參考書目 Reference Books

1. Design of Experiments : Statistical Principles of Research Design and Analysis.
(2nd Edition), by Robert, O. Kuehl
2. Design and Analysis of Experiments, by Hinkelmann and Kemphorne

1. Design of Experiments : Statistical Principles of Research Design and Analysis.
(2nd Edition), by Robert, O. Kuehl
2. Design and Analysis of Experiments, by Hinkelmann and Kemphorne

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
midterm
midterm
50
final
Final
50

授課大綱 Course Plan

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課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 1749
  • 學分 Credit: 0-3
  • 上課時間 Course Time:
    Tuesday/4,Thursday/1,2,3[M116]
  • 授課教師 Teacher:
    沈葆聖
  • 修課班級 Class:
    統計系2A
  • 選課備註 Memo:
    人工加選
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 53 人

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