課程名稱 |
環境資料分析與模擬 Environmental Data Analysis and Simulation |
開課學期 |
107-1 |
授課對象 |
公共衛生學院 職業醫學與工業衛生研究所 |
授課教師 |
邱嘉斌 |
課號 |
OMIH5121 |
課程識別碼 |
841 U5730 |
班次 |
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學分 |
2.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期一8,9(15:30~17:20) |
上課地點 |
公衛210 |
備註 |
與吳章甫合授 總人數上限:30人 外系人數限制:5人 |
Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1071OMIH5121_2018 |
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 |
課程大綱
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課程概述 |
It provides several multivariate regression techniques to solve the data adopted from environmental problems in this course. At the same time, several models would be introduced for students to learn the data generation, treatment, and analysis through the package applications and programming. |
課程目標 |
1. Introduce the source-, receptor-, and trajectory-based models
2. Introduce the advance data analysis and visualization with R
3. Introduce the land use regression model for pollution exposure estimates with GIS technique
4. Integrate the students' abilities on model practice, oral presentation, and report writing
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課程要求 |
Three times “hand on” were in this class at least. The student should carry their Notebook/Laptop to the hand on class. |
預期每週課後學習時數 |
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Office Hours |
另約時間 |
指定閱讀 |
Aerosol and Air Quality Research; Atmospheric Environment; Environmental Health Perspectives; Environmental Science and Technology; Science of The Environment |
參考書目 |
Carslaw, D. 2014. The openair manual -- open-source tools for analyzing air
pollution data. Manual for version 1.0, King’s College London.
Johnson, R. A., Wichern, D. W., 2007. Applied Multivariate Statistical
Analysis, Sixth Edition, Prentice-Hall Inc., New Jersey.
User’s Manuals of CMB7/CMB8, GTx, ISC3, and PMF5.
MATLAB softwares and others. |
評量方式 (僅供參考) |
No. |
項目 |
百分比 |
說明 |
1. |
Hand-on Report |
30% |
A practice output and discussion after learning each model (2-4 pages) |
2. |
Paper Presentation |
30% |
A 15-20 min oral presentation of journal paper reading with powerpoint slide regarding any model application that introduced in this class |
3. |
Final Report |
40% |
A final report (draft for paper submission) with collected/measured data analysis by using R package or other introduced models (10-15 pages) |
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週次 |
日期 |
單元主題 |
第1週 |
9/10 |
Introduction: Data and Simulation |
第2週 |
9/17 |
Source-based Model: Industrial Source Complex (ISC) Model |
第3週 |
9/24 |
Stop Class (Moon Festival) |
第4週 |
10/01 |
Hands-on: ISC Model Version 3 |
第5週 |
10/08 |
Receptor-based Model: Chemical Mass Balance (CMB) Model |
第6週 |
10/15 |
Hands-on: CMB Model Version 7/8 |
第7週 |
10/22 |
Receptor-based Model: Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF)—Dr. Liao HT
|
第8週 |
10/29 |
Hands-on: PMF Model Version 5—Dr. Liao HT |
第9週 |
11/05 |
Mid-term Exam |
第10週 |
11/12 |
Student Paper/ Proposal for Final Report Presentation |
第11週 |
11/19 |
Trajectory-based Model: NCHU Gaussian Trajectory Transfer-coefficient Modeling System (GTx) and Web-based NOAA Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) Model |
第12週 |
11/26 |
Advance Data Analysis: Data Visualization with R (I) |
第13週 |
12/03 |
Advance Data Analysis: Data Visualization with R (II) |
第14週 |
12/10 |
GIS Application (I): Land Use Regression Model-Development |
第15週 |
12/17 |
GIS Application (II): Land Use Regression Model-Prediction |
第16週 |
12/24 |
Final Report: Group Discussion |
第17週 |
12/31 |
Stop Class (For Holiday) |
第18週 |
1/7 |
Final Report: Deadline |
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