Experimental Designs 

Fall  2026

MandH

Course Info

Syllabus

Lectures: T. 1310-1500  , R. 1610-1700 @ SE A318

Instructor: Yu-Ling Tseng.      Office Hours: M. 14~15, R. 15~16 @SE A409    (也可以預約)

Prerequisites: Probability Theory, Statistics, Linear Algebra, Regression Analysis


Class Notes    
1029 每組要有個代表上台講解作業題 目一題.
選 題目囉, 以紅色標記的第2， 13章題目，都可以 選～～～採先選先 贏制



分 組上台講解習題

每人 10  分鐘  （加或減 2 分鐘 都算時間控制滿分）


評 分方向：時間控制，板書口條清楚，講解正確，看聽眾音量足有自信掌握全場。。。。（各佔25％）

評 分者 規則：1 不評自己組的分數

                      2  所給分數不得相同，且須相差至少0.3

                      3 不具名，依 講解的 題 號  給分

          ＊＊＊＊      違者 該日 分數以 該 組分數 7 折 計算      

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


期 末 報告  各組報告時間  TBA 分鐘

評分方式：presentation style, understanding, team work, and time control. Each with 25%.


~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  Week1 course intro
  • The class notes will be available in text, pdf or postscript format unless specified otherwise.
  • Transparences: Introduction part 1     Introduction part 2 
  • A sample for you to start learning R: R program EX. 1  (table1, table1data)     R code for Chapter 2


  • 也順便練習用LaTex做投影片 吧，範例：Example LaTex for transparences
    Example LaTex output

    • Assignments       

    Date

    Problems   （課 堂討論請挑選 紅 色 標 記的題目）

    Reading Assignment  / Handout
    0929
    		Chapters 1 and 2
    1008
    		 Chapter 2 # 4, 6, 7, 12, 14, 15, 16, 18, 22, 23,  37 (a, b（已被 選）, 38（已被選）, 39（已 被選）, 45（已被選） R code for Chapter 2
    1013
    		 Chapter 13 # 14, 17, 20, 21 Chapters 3: 3.1~3.3, 3.5 / Handout for EMS calculatin   c.f. 13.5 of textbook

    		1029 每組要有個代表上台講解作業題目一題.
    選題目囉, 以紅色標記的第2， 13章題目，都可以 選～～～採先選先 贏制

    Selected sections in the textbook (Montgomery, 8ed) for presentation:  TBA 開始～～～ TBA 前 請選定期末報告主題囉～～～ 採先選先贏（以 email時間計）制。。。。
    1.    3.4, 3.5.1~3.5.3.3: Model adequacy checking and (graphical) comparisons of treatment means (P. 80~91, P. 198)
    2.    3.7, 13.4: Determining the sample size (P. 105~109, P. 587~588)
    3.    4.2, 4.3, 4.4 : Replication of Latin squares, Graeco-Latin square designs, BIBD (P. 163~174) 
    4.    9.1~9.2:  3^k  designs (P. 394~407）
    5.    9.3~9.4: Fractional 3^k  designs (P. 408~415) 
    6.    11.1~11.3: Response surface methodology (I) (P.478~500)
    7.    11.4: Response surface methodology (II) (P.500~520)
    8.    12.1~12.5: Robust designs (P.554~569)

    9.    13.6~13.7: Approximate F tests and topics on estimating variance components (P. 592~600)

    10.    14.4, 14.5.1~14.5.2: Split-plot, Split-Split-plot designs (P. 621~635)

    11.     3.3.4, 15.2~15.3 : Unbalanced data in a factorial design and analysis of covariance (P. 79, P. 652~676)


    20260908 First day of class

    Course Grade

    Homework /in class discussion (20%)    Final part1: group presentation (40%) Final part 2: in class exam (40%)

    參考書目：
    1. Applied Linear Statistical Models, 4th ed, Neter, Kutner, Nachtsheim and Wasserman, 1996, McGRAW-HILL International. 
    2. Experimental Designs, 2nd ed, Cochran and Cox, 1957,Wiley.
    3. The Design of Experiments, Mead, 1988, Cambridge.
    4. Statistical Designs Analysis of Experiments with Applications to Engineering and Science, Mason, Gunst and Hess, 1989, Wiley.
    5. Fundamental Concepts in the Design of Experiments, 5th ed, Hicks and Turner, 1999, Oxford.
    6. Design of experiments: Statitical principles of research design and analysis, 2nd ed, R. O. Kuehl
    7. Design and Analysis of Experiments, 8/ed, Montgomery, 2013, Wiley.（課本）


    Computing 
    1. R website (original, mirror @ Academia Sinica)
    2. Data Sets     Data Set in TXT   感謝 天皇勞心勞力費神 的將.xls的資料檔拆解成成