課程資訊
課程名稱
災難管理與土木工程
Disaster Management and Civil Engineering 
開課學期
105-1 
授課對象
工學院  交通工程組  
授課教師
陳柏華 
課號
CIE5096 
課程識別碼
521EU3420 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期四2,3,4(9:10~12:10) 
上課地點
共204 
備註
本課程以英語授課。本系F層課程。
總人數上限:40人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1051CIE5096_ 
課程簡介影片
 
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課程概述

本課程將介紹災難管理及其與土木工程之關聯. 本課程將利用工程方 法來輔助並達成災難之減輕, 準備, 救災及復原. 課程中將利用不同資訊科 技方法以達成有效的災難管理.
Introduction to Disaster Management and its relationship with Civil Engineering. Engineering approaches will be discussed to mitigate, prepare, respond to, and recover form disasters. This course aims to utilize Information Technology as a tool to support the goal of disaster management. 

課程目標
教授學生災難管理之基本觀念及其與土木工程之關聯性. 本課程將透過實際案例及數值 方法訓練學生利用工程知識解決災難相關之問題. 學生透過此課程將學習實作資訊科技方面 之技能, 如網站架設, 地理資訊系統, 資料庫, 及軟體使用者介面, 用以達成有效的災難管理.
Students will learn fundamental aspects of disaster management and its relationship with civil engineering. The course will teach disaster management through case studies and numerical methods to emphasize engineering approaches for disaster problem solving. Through this course, students will also learn to develop and implement information technology applications such as website design, geographic information systems, database systems, and user interface design. These approaches are expected to equip students with tools to solve future engineering and disaster related problems. 
課程要求
- Be able to understand English lectures.
- Come to the lectures.
- Understand the challenging issues in the Disaster Management literature.
- Be able to apply theoretical and applied methodologies to approach Disaster Management challenges specifically for Civil Engineering Systems.
- Every homework assignment should be complete by the student alone and projects should be complete by the group the student belongs. Plagiarism is forbidden. If other people's work has to be included, it is required to be referenced. 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
To be announced. 
參考書目
“An Introduction to Management Science,” 13th edition; David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, Kipp Martin; South-Western College Pub, 2010; 896 pages

“Fundamentals of Computer-Aided Engineering,” 1st edition; Benny Raphael, Ian F. C. Smith; Wiley, 2003; 324 pages
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Homework 
30% 
 
2. 
Midterm Project 
30% 
 
3. 
Final Project 
30% 
 
4. 
Participation 
10% 
 
 
課程進度
週次
日期
單元主題
Week 1
  National Holiday
(Only some of the slides are updated. Please note the date on the first page of slide to distinguish if it is updated or not.) 
Week 2
  Introduction to the Course,
and Intro to Disaster Management and Complexity 
Week 3
  Disaster Management Cycle and some Data Structures 
Week 4
  Disaster Response and 911
System Dynamics 
Week 5
  Recovery, Mitigation, and System Dynamics 
Week 6
  Visit - Disaster and Fire Safety Museum of Taipei City 
Week 7
  Guest Lecture - Structural Assessment 
Week 8
  Paper Presentation I & Path Finding on Networks 
Week 9
  Disaster Case Presentations 
Week 10
  GIS and Unsupervised Learning: Clustering 
Week 11
  Guest Lecture - Evacuation 
Week 12
  Supervised Learning - Support Vector Machine, Classification 
Week 13
  Term Project Proposal 
Week 14
  Supervised Learning - Support Vector Machine, Regression 
Week 15
  Emergency Operations Center, TPE 
Week 16
  Guest Lecture - Flood Study