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
105-1 
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
 
學分
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
與吳章甫合開
總人數上限:30人
外系人數限制:5人 
 
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
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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. Integrate the students' abilities on model practice, oral presentation, and report writing  
課程要求
Three times hand on 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
另約時間 備註: Any free time 
指定閱讀
Journal list (Category: Environmental Science):
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 PMF3.
MATLAB software 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 power point slide regarding any model application which introduced in this class 
3. 
Final Report 
40% 
A final report with collected/measured data analysis by using R package or other introduced models (4-10 pages) 
 
課程進度
週次
日期
單元主題
第1週
9/12  Introduction: Data and Simulation 
第2週
9/19  Source-based Model: Industrial Source Complex (ISC) Model 
第3週
9/26  Hands-on: ISC Model Version 3 
第4週
10/03  Receptor-based Model: Chemical Mass Balance (CMB) Model 
第5週
10/10  Stop Class (For holiday) 
第6週
10/17  Hands-on: CMB Model Version 7/8 
第7週
10/24  Receptor-based Model: Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF)—Dr. Wu CF 
第8週
10/31  Hands-on: PCA and PMF Model Version 3—Dr. Wu CF 
第9週
11/07  Mid-term Exam 
第10週
11/14  Student Paper Presentation  
第11週
11/21  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
11/28  Advance Data Analysis: Data visualization with R (I) 
第13週
12/05  Advance Data Analysis: Data visualization with R (II) 
第14週
12/12  Advance Data Analysis: Data visualization with R (III) 
第15週
12/19  Advance Data Analysis: Multivariate Statistical Analysis (I) 
第16週
12/26  Advance Data Analysis: Multivariate Statistical Analysis (II) 
第17週
1/02  Stop Class (For holiday), Deadline of Final Report