實驗設計在很多領域皆有使用，主要可了解控制變因對於一個實驗重要，以及如何選擇控制因子方向，讓實驗者可以找到較好的目標值。本課程包含因子實驗、區集因子實驗、二因子實驗、部分因子實驗、反應曲面等。
課程目標:培養學生對實驗設計相關之統計基礎與資料分析能力，並強化程式實作能力。。

Experiment design is used in many fields, mainly to understand the importance of control factors for a experiment and how to choose the direction of the control factor so that experimenters can find better target values. This course includes factor experiments, zone factor experiments, two-factor experiments, partial factor experiments, reaction surfaces, etc.
Course objectives: Cultivate students' statistical foundation and data analysis capabilities related to the experiment design, and strengthen program implementation capabilities. .

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.

實驗設計與分析(Montgomery : Design and Analysis of Experiments 10/E)(精華版)(三版)

Experimental Design and Analysis of Experiments 10/E (Exquisite Edition) (Three Editions)