Type of Credit: Partially Required
Credit(s)
Number of Students
This course will help students to understand the fundamental concepts of analysis of variance (ANOVA) and experimental designs, conduct analysis using SAS and R, and interpret the results for ANOVA and experiments.
能力項目說明
After completing this course, students should be able to:
| 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 |
|---|---|---|
每週學習投入時數約六至八小時（含正課三小時及實習課兩小時）
第1週 Introduction
第2-3週 Chapter 1 Research design principles
第4-5週 Chapter 2 Getting started with completely randomized designs
第6-7週 Chapter 3 Treatment comparisons
第8週 期中考
第9-10週 Chapter 5 Experiments to study variances
第11-12週 Chapter 6 Factorial Treatment Designs
第13-14週 Chapter 7 Factorial Treatment Designs: Random and Mixed Models
第15-16週 Chapter 8 Complete Block Designs
第17-18週 期末考或報告
（以上進度內容可能調整）
Coursework and class participation (30%), midterm exam (35%), and final exam or report (35%).
本課程無涉及AI 使用。
The textbook is:
Kuehl, R.O. (2000) Design of Experiments: Statistical Principles of Research Design and Analysis. 2nd Edition, Pacific Grove, California: Brooks/Cole.
References:
Hicks, C. R. (1993) Fundamental Concepts in the Design of Experiments, 4th ed., New York: Saunders College Publishing.
Montgomery, D. C. (2005) Design and Analysis of Experiments, 6th ed., New York: Wiley.
Oehlert, G. W. (2010) A First Course in Design and Analysis of Experiments. (http://users.stat.umn.edu/~gary/book/fcdae.pdf)