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課程名稱 |
R程式語言及其在大氣模式資料分析的應用
Introduction to R for Weather Forecast Model Data |
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開課學期 |
107-1 |
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授課對象 |
理學院 大氣科學系 |
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授課教師 |
盧孟明 |
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課號 |
AtmSci5089 |
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課程識別碼 |
229 U5840 |
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班次 |
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學分 |
1.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
第13,14,15,16 週
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上課地點 |
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備註 |
密集課程。密集課程.週三週四18:30-20:30.上課教室:大氣系C204電腦教室.
總人數上限：20人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1071AtmSci5089_ |
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課程簡介影片 |
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核心能力關聯 |
本課程尚未建立核心能力關連 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
This course is to provide students a basic understanding of R programing. We will first introduce software installation and configuration for a statistical programming environment and generic programming concepts. Then we will cover practical issues in statistical analysis for weather forecast model data. |
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課程目標 |
The goal of this course is for students to get comfortable with R and be able to carry out their own data analysis projects.
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課程要求 |
none |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
An Introduction to R, Notes on R: A Programming Environment for Data Analysis and Graphics. W. N. Venables, D.M. Smith and the R Development Core Team. Version 3.5.1 (2018-07-02). URL: https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf
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參考書目 |
none |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
The attendance and participation |
40% |
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2. |
The homework assignment |
60% |
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週次 |
日期 |
單元主題 |
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第2週 |
2018.12.07 |
Overview of R, R data types and objects, Reading and writing data (2) |
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第3週 |
2018.12.13 |
Control structures, Functions and loops, Dates and times (1) |
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第4週 |
2018.12.14 |
Control structures, Functions and loops, Dates and times (2) |
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第5週 |
2018.12.20 |
Applied Statistics, Graphics (1) |
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第6週 |
2018.12.21 |
Applied Statistics, Graphics (2) |
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第7週 |
2018.12.27 |
Application and simulation (1) |
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第8週 |
2018.12.28 |
Application and simulation (2) |
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