課程目標及內涵 (Course Objectives and Contents) :
課程將介紹實驗設計與取樣的原則，比較與討論各種統計方法的應用，並介紹近年來新興的統計方法。課程將涵蓋實驗設計、統計派別介紹、探索性資料分析、迴歸分析、變異數分析、類別資料分析與多變數分析。Upon completing this course, you will:
The course will introduce the principles of experimental design and sampling, compare and discuss the applications of various statistical methods, and introduce emerging statistical methods in recent years. The course will cover experimental design, introduction to statistical paradigms, exploratory data analysis, regression analysis, analysis of variance, analysis of categorical data, and multivariate analysis.
多元教學方式 (Muliti-Teaching Methods) :
說明：除了課堂講授與考試測驗之外，本課程在學期中可能會運用到以下哪些教學方式，以期能進一步提升學生學習成效。
1.小組討論
2.邀請其他來賓進行專題演講
3.機構或企業參訪
4.專題研究或實習
5.實作示範或演示
6.期末報告/策展/發表
7.配合專業軟體的使用與教學
8.配合使用數位教學平台(tMoodle)、愛學網(iLearn)
In addition to classroom lectures and exams, this course may incorporate the following teaching methods throughout the semester to further enhance students' learning outcomes.
1. Group discussions
2. Inviting guest speakers for special lectures
3. Visiting institutions or companies
4. Capstone projects or internships
5. Hands-on demonstrations or presentations
6. Final reports/exhibitions/presentations
7. Incorporating the use of professional software in teaching
8. Utilizing digital teaching platforms such as tMoodle and iLearn
主要參考書籍/資料 (Textbooks and References)：
Gotelli, N. J. and Ellison, A. M. 2012. A primer of ecological statistics. Second Edition.
Sinauer Associates Inc., Sunderland.
Legendre, P. and Legendre, L. 2013. Numerical Ecology. Third Edition. Elsevier, Amsterdam.
