107年第2學期-1749 實驗設計 課程資訊

評分方式

評分項目 配分比例 說明
midterm 50
final 50

選課分析

本課程名額為 70人,已有40 人選讀,尚餘名額30人。


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授課教師

沈葆聖

教育目標

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

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.

課程資訊

參考書目

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

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