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課程名稱 |
統計與大氣科學
STATISTICS WITH METEOROLOGICAL APPLICATIONS |
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開課學期 |
97-2 |
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授課對象 |
理學院 大氣科學系 |
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授課教師 |
許武榮 |
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課號 |
AtmSci2006 |
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課程識別碼 |
209 22200 |
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班次 |
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學分 |
3 |
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全/半年 |
半年 |
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必/選修 |
必修 |
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上課時間 |
星期二3,4(10:20~12:10)星期五2(9:10~10:00) |
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上課地點 |
大氣B105大氣B105 |
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備註 |
總人數上限：70人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/972stat_meteor |
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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 |
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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 |
介紹機率與期望的概念.介紹基礎數理統計與統計方法以及在氣象上的應用. |
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課程目標 |
認識統計原理與應用 |
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課程要求 |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
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參考書目 |
Probability & Statistics for Engineers & Scientists, 8th edition (Pearson
International Edition). Walpole, Myers, Myers, and Ye, 2007, Pearson Education
International. |
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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. |
期中考 |
30% |
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2. |
期末考 |
40% |
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3. |
作業 |
30% |
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週次 |
日期 |
單元主題 |
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第1週 |
2/17,2/20 |
Ch.1
Ch.2: Def. 2.1, Examples 2.1, 2.3
Def. 2.2, Example 2.4
Def. 2.3, Example 2.5
Def. 2.4, Example 2.7
Def. 2.5, Def. 2.6,Thm. 2.1, Example 2.13 |
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第2週 |
2/24,2/27 |
Def. 2.7, Thm. 2.3, 2.4, 2.7, Example 2.20, Thm 2.8, Def. 2.8, Example 2.23, 2.24, Thm. 2.9, Example 2.27, Thm 2.10, Example 2.28, Def 2.9, Example 2.33, Def. 2.10, Thm 2.13 |
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第3週 |
3/03,3/06 |
Example 2.36, Thm 2.14, 2.16, Example 2.41, Thm 2.17, Example 2.42
Def. 3.1, 3.4, Example 3.8, Def. 3.5, 3.6, Example 3.11, Def. 3.7, Example 3.12, Def. 3.8, Example 3.14 |
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第4週 |
3/10,3/13 |
Def. 3.9, 3.10, Example 3.16, Def. 3.11, Example 3.18, 3.19, Def. 3.12, 4.1, Examples 4.2, 4.3, Thm. 4.1, Def. 4.2, Example 4.7, Def. 4.3, Example 4.8, Thm. 4.2 |
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第5週 |
3/17,3/20 |
Def. 4.4, Thm. 4.4, Example 4.13, Def. 4.5, Thm. 4.5, Thm. 4.8, Corollary 4.5, Thm. 4.9, 4.10, Corollary 4.8, Excercise 4.48, Thm. 4.11, Discrete uniform distribution, Example 5.2, Thm. 5.1, Bernoulli process, Binomial distribution, Thm 5.2 |
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第6週 |
3/24,3/27 |
Examples 5.5, 5.7, Multinomial Distribution, Hypergeometric Distribution, Thm 5.3 Negative Binomial Distribution, Example 5.17, Geometric Distribution, Thm. 5.4, Poisson Distribution, Thm. 5.5, Example 5.19, Thm 5.6 |
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第7週 |
3/31,4/03 |
Continuous uniform distribution, Thm 6.1, Normal distribution, 4/03 放假 |
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第8週 |
4/07,4/10 |
Def. 6.1, Examples 6.8, 6.11, 6.13, Thm 6.2, Examples 6.15, 6.16, Def. 6.2, Gamma Distribution, Exponential Distribution, Relationship to the Poisson process, Thm. 6.3, Corollary 6.1, Example 6.18, Chi-squared distribution |
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第9週 |
4/14,4/17 |
4/14: 期中考(範圍:第一章到第六章第二節)(包括page 792 附錄A.26, A.27); Thm. 7.1, Example 7.1, Thm. 7.2, Example 7.2 |
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第10週 |
4/21,4/24 |
Thm. 7.3, Examples 7.3, 7.5, Def. 7.1, 7.2, Thm 7.6, Examples 7.6, 7.7, Thm. 7.7-10 |
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第11週 |
4/28,5/01 |
Example 7.2 (through M), Thm. 7.11, 7.12, Def. 8.1-6, Thm. 8.1, Def. 8.7, Example 8.1, Def. 8.10, Example 8.6 |
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第12週 |
5/05,5/08 |
Thm. 8.2, Thm. 6.2, Example 8.7, Thm. 8.3, Example 8.8, Thm. 8.4 |
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第13週 |
5/12,5/15 |
Example 8.10, Thm. 8.5, Example 8.10, Thm. 8.5, Corollary 8.1 |
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第14週 |
5/19,5/22 |
Thm. 8.6-8, Excercise 8.55, Def. 9.1, Example 9.1, Def. 9.2, Estimating the mean (sigma known), Example 9.2, (Sigma unknown), Example 9.5 |
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第15週 |
5/26,5/29 |
Estimating the difference between 2 samples, Example 9.9, Estimating the variance, Example 9.17; Estimating the ratio of two variances, 5/29 放假 |
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第16週 |
6/02,6/05 |
10.1 General concepts, Example on page 324, Def. 10.2, 10.3, Examples 10.3, 10.5, 10.6, 10.13, 10.14 |
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第17週 |
6/09,6/12 |
Goodness-of-fit test, Test for homogeneity, The simple linear regression model, The fitted regression line, The method of least squares, Example 11.1 Thm. 11.1, Analysis of Variance |
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第18週 |
6/16 |
***請注意****** 期末考時間改回學校規定之時段6月16日早上 10:20-12:10 舉行期末考 (範圍:第六章第三節到第十章第七節Example 10.5) |
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