課程名稱 
生態研究法 Research Methods in Ecology 
開課學期 
1012 
授課對象 
生物資源暨農學院 昆蟲學系 
授課教師 
奧山利規 
課號 
ENT5053 
課程識別碼 
632EU1150 
班次 

學分 
3 
全/半年 
半年 
必/選修 
選修 
上課時間 
星期四5,6,7(12:20~15:10) 
上課地點 

備註 
本課程以英語授課。上課教室：自動化中心。建議先修習基礎統計學。 限學士班三年級以上 總人數上限：16人 
Ceiba 課程網頁 
http://ceiba.ntu.edu.tw/1012ecol_data 
課程簡介影片 

核心能力關聯 
本課程尚未建立核心能力關連 
課程大綱

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課程概述 
This course is about conducting experiments and analyzing data in a broad sense. The emphasis may be on ecology, but the materials covered in the course are general and are useful for any disciplines. The course consists of two parts: (1) experimental design and (2) data analysis. In the experimental design part, we will discuss some of the common pitfalls in experimental designs. In the data analysis part of the course, we will cover several statistical methods which allows students to develop their own models without being restricted by the assumptions of commonly used statistical models.
The computer language R (http://www.rproject.org/) will be used.
Expectations
Attend and participate in class; do the reading and all the assignments. Two unexcused absences will make the class participation portion of your grade 0. Make your absence arrangement before the class if possible.
Ask questions, in or out of class, when you don’t understand something. There is no such thing as a stupid question, and if you’re confused you’re probably not the only one.
Policies
Submit your assignments on time. You will be asked to submit most of the assignments in class via CEIBA (this web site). Late assignments will be penalized: one day (20% penalization), two days (30% penalization), and three days or more (100% penalization).
In this course, you are allowed to discuss the assigned problems with other students in your class. However, you must write the solutions in your own words without referring to any other students' work. The copying or even paraphrasing of anyone's solutions will be considered academic dishonesty.
Assessment
Class participation (including [pop] quizzes) (20%)
Exams (40%)
Assignments (40%) 
課程目標 
Students will develop
common sense in experimental design
programming skills
data analysis skills 
課程要求 

預期每週課後學習時數 

Office Hours 
另約時間 
參考書目 
Dalgaard, P (2008) Introductory Statistics with R. Second edition. Springer, New
York, NY. 
指定閱讀 

評量方式 (僅供參考) 

