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
106-1 
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
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 
 
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 
指定閱讀
如參考書目 
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 softwares and others.
 
評量方式
(僅供參考)
   
課程進度
週次
日期
單元主題
第1週
9/11  Introduction: Environmental Data and Simulation 
第2週
9/18  Source-based Model: Industrial Source Complex (ISC) Model  
第3週
9/25  Hands-on: ISC Model Version 3 
第4週
10/02  Receptor-based Model: Chemical Mass Balance (CMB) Model 
第5週
10/09  Hands-on: CMB Model Version 7/8 
第6週
10/16  Receptor-based Model: Principal Component Analysis (PCA) and Positive Matrix Factorization (PMF) 
第7週
10/23  Hands-on: PCA and PMF Model Version 3 
第8週
10/30  Student Paper Presentation 
第9週
11/06  Mid-term Exam 
第10週
11/13  Trajectory-based Model: NCHU Gaussian Trajectory Transfer-coefficient Modeling System (GTx) and Web-based NOAA Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) Model  
第11週
11/20  Advance Data Analysis: Data visualization with R 
第12週
11/27  Final Report: Introduction-Title Initiative 
第13週
12/04  Final Report: Methodology-Multivariate Statistical Analysis 
第14週
12/11  Final Report: Results-Data Visualization with R 
第15週
12/18  Final Report: Discussion-Key Papers Reading and Report 
第16週
12/25  Final Report: Writing-Revision and Conclusion 
第17週
1/01  Stop Class (For holiday)