課程名稱 |
應用線型統計模式 (二) Applied Linear Statistical Models (II) |
開課學期 |
111-2 |
授課對象 |
生物資源暨農學院 生物統計學組 |
授課教師 |
蔡欣甫 |
課號 |
Agron5088 |
課程識別碼 |
621 U6740 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期一6,7,8(13:20~16:20) |
上課地點 |
生統教室 |
備註 |
建議先修"應用線性統計模式一" 總人數上限:20人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
Linear and generalized linear models have been widely used in agronomic research. These statistical tools play a key role in analyzing field trials and breeding experiments. The objective of this course is to introduce fundamental theory of linear models. Several important topics, including parameter estimation and hypothesis testing, will be detailed. Linear mixed models and generalized linear models will also be introduced to analyze more complicated data. In addition, R programs will be provided to implement these analysis procedures. After successfully completing this course, students will be able to address real-world research questions using linear statistical models. |
課程目標 |
The objective of this course is to introduce fundamental theory of linear models. |
課程要求 |
Statistics (Agron2002), Matrix Algebra (Agron4023) and Regression Analysis (Agron5087). |
預期每週課後學習時數 |
3 hours per week |
Office Hours |
每週五 15:00~16:00 備註: Biometry Laboratory 202 |
指定閱讀 |
Lecture Notes |
參考書目 |
Rasmussen, C.E. and Willams, C.K.I. (2006). Gaussian Processes for Machine Learning. MIT Press. (NTU eBook) |
評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Homework |
40% |
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2. |
Midterm Exam |
40% |
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3. |
Final Project |
20% |
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週次 |
日期 |
單元主題 |
第1週 |
0220 |
Introduction to Linear Statistical Models |
第2週 |
0227 |
Holiday |
第3週 |
0306 |
Review of Some Basics |
第4週 |
0313 |
Linear Models |
第5週 |
0320 |
Linear Models |
第6週 |
0327 |
Linear Models |
第7週 |
0403 |
Holiday |
第8週 |
0410 |
Linear Models |
第9週 |
0417 |
Linear Models |
第10週 |
0424 |
Midterm Exam |
第11週 |
0501 |
Linear Mixed Models |
第12週 |
0508 |
Linear Mixed Models |
第13週 |
0515 |
Generalized Linear Models |
第14週 |
0522 |
Generalized Linear Models |
第15週 |
0529 |
Gaussian Process Regression Models |
第16週 |
0605 |
Final Project Presentation |
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