課程資訊
課程名稱
環境資料分析與模擬
Environmental Data Analysis and Simulation 
開課學期
108-1 
授課對象
公共衛生學院  公共衛生學系  
授課教師
邱嘉斌 
課號
EOHS7049 
課程識別碼
852 M0490 
班次
 
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209 
備註
合開教師:廖合堂。
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/1081EOHS7049_ 
課程簡介影片
 
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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 were introduced for students to learn the data generation, treatment, and analysis through 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 land use regression model for pollution exposure estimates with GIS technique
4. Integrate the students' abilities on model practice, oral presentation, and report writing
 
課程要求
At least 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
 
Office Hours
每週一 13:30~15:00 
參考書目
Carslaw, D. 2019. The openair manual -- open-source tools for analyzing air pollution data. Manual for version 2.6-5, University of York.
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.
 
指定閱讀
Journal list (Category: Environmental Science):
Aerosol and Air Quality Research; Atmospheric Environment; Environmental Health Perspectives; Environmental Science and Technology; Journal of Hazardous Materoals; Science of The Environment
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Hand-on Report 
30% 
 
2. 
Paper Presentation 
30% 
 
3. 
Final Report 
40% 
 
 
課程進度
週次
日期
單元主題
第1週
9/09  Introduction: Data and Simulation 
第2週
9/16  Source-based Model: Industrial Source Complex (ISC) Model  
第3週
9/23  2019 ASPPH International Conference 
第4週
9/30  Hands-on: ISC Model Version 3 
第5週
10/07  Receptor-based Model: Chemical Mass Balance (CMB) Model 
第6週
10/14  Hands-on: CMB Model Version 7/8 
第7週
10/21  Receptor-based Model: Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF)—Dr. Liao HT 
第8週
10/28  Hands-on: PMF Model Version 5—Dr. Liao HT 
第9週
11/04  Mid-term Exam 
第10週
11/11  Student Paper/ Proposal for Final Report Presentation 
第11週
11/18  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
11/25  Advance Data Analysis: Data visualization with R (I) 
第13週
12/02  Advance Data Analysis: Data visualization with R (II) 
第14週
12/09  GIS Application (I): Land Use Regression Model-Data Collection 
第15週
12/16  GIS Application (II): Land Use Regression Model-Development and Prediction 
第16週
12/23  Final Report: Group Discussion 
第17週
12/30  Final Report: Deadline