課程資訊
課程名稱
近代大氣科學統計方法
MODERN STATISTICAL METHODS IN THE ATMOSPHERIC SCIENCES 
開課學期
98-1 
授課對象
理學院  大氣科學研究所  
授課教師
吳明進 
課號
AtmSci7048 
課程識別碼
229 M8080 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期三3,4(10:20~12:10)星期五2(9:10~10:00) 
上課地點
大氣A108大氣A104 
備註
總人數上限:38人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/981atmos_statistics 
課程簡介影片
 
核心能力關聯
核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

Data statistical analysis is essential to research and application in Atmospheric Sciences. Students of this course will learn step by step various theories and methods of modern statistical analysis which usually be applied in atmospheric sciences. Illustrations selected from papers in the journals of atmospheric sciences will be used. Students will be asked to do homework problems set with Matlab Software.
Topics to be covered:

Hypothesis Testing: Background, parametric approaches, nonparametric tests (classical, resampling, the bootstrap, and permutation)

Forecast Verification: Categorical forecasts, probability forecasts, nonprobabilistic forecasts of fields, verification of ensemble forecasts

Multivariate Analysis: Matrix algebra, principal component analysis, canonical correlation analysis, discrimination and classification, cluster analysis

Bayesian Inference: Bayes’ theorem, Bayesian inference with prior distributions, Bayesian prediction (if time permits)

Artificial Neural Network: Concept of ANN, back-propagation ANN, applications

Genetic Algorithm: An introduction (if time permits)

Homework problem sets will be given on a regular basis.

Suggested textbook: Statistical Methods in the atmospheric sciences, D. Wilks, 2nd edition, Academic Press, 2006

Supplementary books: Probability, Statistics, and Decision-making in the Atmospheric Sciences, Chapter 12. A.H. Murphy and R.W. Katz, Eds., Westview Press, 1985

Bayesian data analysis, A. Gelman, et al., Chapman & Hall, 2004
 

課程目標
Students will be asked to make themselves familiar with data analysis in Atmospheric Sciences. 
課程要求
 
預期每週課後學習時數
 
Office Hours
 
參考書目
1. Wilks,D.,2006: Statistical Methods in the Atmospheric Sciences, 2nd
edition, Academic Press.
2. Murphy,A.H. and R.W. Kate Eds,1985:Probability, Statistics, and
Decision-making in the Atmospheric Sciences, Westview Press.
3. Gelman, A. et al., 2004: Bayesian data analysis, Chapman &Hall.
 
指定閱讀
classroom lecture notes 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
出席 
10% 
 
2. 
參與討論 
10% 
 
3. 
報告 
30% 
 
4. 
作業 
50% 
 
5. 
隨堂測驗 
0% 
 
6. 
期末考 
0% 
 
7. 
期中考 
0% 
 
 
課程進度
週次
日期
單元主題
第1週
9/16,9/18  Review of basic statistics-parametric statistics 
第2週
9/23,9/25  Review of basic statistics-parametric statistics 
第3週
9/30,10/02  Review of basic statistics-parametric statistics 
第4週
10/7,10/9  Review of Basic Statistics- Non-parametric statistics 
第5週
10/14,10/16  Statistical Forecasting and Forecast Verification-linear and non-linear regression 
第6週
10/21,10/23  Statistical Forecasting and Forecast Verification-Application of Regression
Analysis and Forecast Verification , Ch.3.1 Principal Component Analysis 
第7週
10/28,10/30  Ch.3.1 Principal Component Analysis 
第8週
11/4,11/6  Factor Analysis 
第9週
11/11,11/13  Term project briefing 
第10週
11/18,11/20  Ch3.3 Canonical Correlation Analysis 
第11週
11/25,11/27  Canonical Correlation Analysis, Singular Value Decomposition Analysis  
第12週
12/2,12/4  Cluster Analysis 
第13週
12/9,12/11  Discriminant Analysis 
第14週
12/16,12/18  Discriminant Analysis, L-moments and GEV 
第15週
12/23,12/25  Introduction to Artificial Neural Network  
第16週
12/30  An Introduction to Genetic Algorithm 
第17週
1/6, 1/8  term project presentation