課程資訊
課程名稱
R語言應用於資料計算分析與視覺化
Data Computation, Analysis and Visualization Using R 
開課學期
110-1 
授課對象
生物資源暨農學院  生物環境系統工程學系  
授課教師
鄭克聲 
課號
BSE5152 
課程識別碼
622 U5090 
班次
 
學分
3.0 
全/半年
半年 
必/選修
選修 
上課時間
星期三7,8,9(14:20~17:20) 
上課地點
 
備註
上課教室:農工九
總人數上限:30人 
課程網頁
https://www.rslabntu.net/courses/data_computation_analysis_and_visualization_using_r 
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 class will be conducted in an interactive format through the following arrangements:
(1) Subjects and statistical methods (SSMs) to be covered will be fully explained in the beginning of the semester (the first three or four weeks). For each SSM, problems and tasks with specific learning objectives (important concepts and theories) will be used to guide students to solve these problems through computer coding (using R) and in-class discussions.
(2) Students are grouped (based on their backgrounds or interests) into several groups. Each group will be assigned certain SSMs to study during the semester.
(3) Every week, two or more groups (depending on number of groups in the class) will present their progresses and results in class, followed by discussions.
(4) Each group is expected to make several presentations during the semester. Hopefully, once in every 3 to 4 weeks.
(5) A final presentation is required for all groups in the final week. 

課程目標
This course is designed to facilitate students with skills of R coding for data analysis and graphic presentation, while learning fundamental concepts of statistical methods. Students who want to register for this course should have taken an entry level statistics. Familiarity with R language is not required, although it will be helpful. 
課程要求
Progress report, in-class presentation and discussions 
預期每週課後學習時數
 
Office Hours
另約時間 
指定閱讀
 
參考書目
1. http://r4ds.had.co.nz/index.html
2. http://www.allitebooks.in/r-data-science/
3. http://ucanalytics.com/blogs/learn-r-12-books-and-online-resources/
4. http://www.datacarpentry.org/R-ecology-lesson/index.html 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
no 
100% 
 
 
課程進度
週次
日期
單元主題
無資料