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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 |
109-2 |
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授課對象 |
理學院 大氣科學系 |
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授課教師 |
羅敏輝 |
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課號 |
AtmSci2019 |
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課程識別碼 |
209 22210 |
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班次 |
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學分 |
2.0 |
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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) |
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上課地點 |
大氣系A100 |
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備註 |
總人數上限：45人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1092AtmSci2019_ |
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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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課程概述 |
Data statistical analysis is essential to research and applications in atmospheric/climate Sciences.
Students of this course will learn step by step various theories and methods of basic data statistical analysis which usually be applied in atmospheric sciences.
Assignments:
HWs are due every Saturday night at 22:00, and everyone needs to finish the HWs. You can discuss with your classmates/friends, and no plagiarize!
Project: Form a team (two people) to solve a self-selected problem. |
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課程目標 |
introduce the probability concept, probability distributions, fundamental statistical approach and applications in the atmospheric and climate sciences. |
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課程要求 |
Homework:
Students will be asked to use Matlab/Python to finish the HWs.
HWs are due every Saturday night at 10pm.
There are one mid-term and final exam.
Final project:
Form a team (with 2 people) to solve a self-selected problem.
Each team does an oral presentation and make a movie for 7~10 mins.
本課程有FACEBOOK社團（2019 NTU/AS Statistics with Meteorological Applications）(TBD) |
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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 |
待補 |
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參考書目 |
Wilks. D.S., 2011: Statistical Methods in the Atmospheric Sciences
(http://www.sciencedirect.com/science/bookseries/00746142/100) |
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評量方式
(僅供參考) |
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週次 |
日期 |
單元主題 |
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第1週 |
2/23 |
Introduction to statistics and data analysis in Atmospheric and climate sciences |
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第2週 |
3/02 |
population and sample; expectation, variance |
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第3週 |
3/09 |
sample variance and sampling |
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第4週 |
3/16 |
estimation |
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第5週 |
3/23 |
Estimation |
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第6週 |
3/30 |
Lecture 9: Regression
you can download the ppt here: https://drive.google.com/file/d/1fEoQF4d3m7V3LWnlPiUPMDcoqxmqXLlo/view
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第7週 |
4/06 |
No class |
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第8週 |
4/13 |
Midterm |
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第9週 |
4/20 |
Hypothesis testing (1) |
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第10週 |
4/27 |
Hypothesis testing (2) |
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第11週 |
5/04 |
Hypothesis testing (3) |
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第12週 |
5/11 |
Regression analysis (1) |
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第13週 |
5/18 |
Regression analysis (2) |
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第14週 |
5/25 |
Regression analysis (3) |
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第15週 |
6/01 |
The HW for this week is
1. read this paper (https://www.nature.com/articles/s41586-019-1559-7), and you DON't need to go through the details now, but try to have the main idea on how we can use the CNN on the ENSO prediction.
2. please be prepared to give a 1-min presentation for your final presentation on June 8th. (please upload the ppt file to CEIBA before this SUNDAY, 22:00.)
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第16週 |
6/08 |
1. 1-min presentation about the final project
2. 盧孟明博士演講 medium- to long-range weather forecast verification. |
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第17週 |
6/15 |
Final project presentation (5-7 min each) |
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第18週 |
0622 |
final: https://docs.google.com/forms/d/e/1FAIpQLSeC77oO6dX-SyPw4RuNAq9DThLPXoMrJ1oepvJTz2CuU9bqtA/viewform |
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