課程資訊
課程名稱
水資源系統分析
Water Resources System Analysis 
開課學期
104-1 
授課對象
工學院  水利工程組  
授課教師
游景雲 
課號
CIE7040 
課程識別碼
521 M3890 
班次
 
學分
全/半年
半年 
必/選修
選修 
上課時間
星期一7,8,9(14:20~17:20) 
上課地點
土研407 
備註
與徐年盛合開
限本系所學生(含輔系、雙修生)
總人數上限:34人 
Ceiba 課程網頁
http://ceiba.ntu.edu.tw/1041WRS 
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
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

This course is intended to develop a student’s ability to quantitatively and qualitatively evaluate approaches to water resource management in terms of their technical feasibility, economic merits, and public policy implications. We will discuss the fundamental optimization theories and the application potentials for water resources and environmental systems planning, resources conservation, and pollution control. The operational research techniques, including linear programming, dynamic programming, nonlinear programming, stochastic programming and multi-objective programming, will be introduced. Both engineering and economic principles will be incorporated into optimization exercises that are used as a means of policy analysis. Most examples cover typical planning, design, and operation problems for water resources and environmental infrastructure with regard to complex multidisciplinary decision-making. Water resources system models addressing the interfaces and interactions between the built environment and the natural systems will be emphasized. Students are expected to finish a term-project according to their research interest to demonstrate their understanding of the course contents. 

課程目標
You are supposed to understand:
1) Introduce water resources systems modeling approach.
2) Classical theory of maxima and minima
3) Linear Programming
4) Nonlinear Programming
5) Dynamic Programming
6) Optimization software
7) Policy instruments and regulation
8) Decision making theory & uncertainty
9) Stochastic programming
10) Discussion of water resource management and planning
 
課程要求

 
預期每週課後學習時數
 
Office Hours
 
指定閱讀
 
參考書目
1. Loucks DP, van Beek E, Water resources systems planning and management: an introduction to methods, models and applications. UNESCO, 2005, Paris. Available online: http://ecommons.library.cornell.edu/handle/1813/2804
2. Luenberger D., Linear and Nonlinear Programming, Addison-Wesley.
3. Miranda, Mario J. and Paul Fackler, Applied Computational Economics and Finance, MIT Press: Cambridge, MA, 2002
4. Daniel P. Loucks, Jery R. Stedinger, Douglas A. Haith, Water Resources Systems Planning and Analysis , Prentice Hall, 1981
5. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge,U.K.: Cambridge Univ. Press. Available online: http://www.stanford.edu/~boyd/cvxbook/
6. Pike R. Optimization for engineering systems. New York: Van Nostrand Reinhold, 1986. Available online: http://www.mpri.lsu.edu/bookindex.html
7. G. V. Reklaitis,A. Ravindran, and K.M. Ragsdell, Engineering optimization methods and application. Wiley, New York, 1983
 
評量方式
(僅供參考)
 
No.
項目
百分比
說明
1. 
Assignments 
40% 
 
2. 
Mid-term Exam  
25% 
 
3. 
Term Project 
35% 
 
4. 
Participation 
5% 
 
 
課程進度
週次
日期
單元主題
第1週
9/14  Introduction
1. Course Introduction
2. System Concept
3. Water Resources Management and planning  
第2週
9/21  Basic theory
1. Classical theory of maxima and minima
2. Example of simple optimization
3. Water Resources System
Software Installation
1. Excel
2. GAMS
3. Matlab
 
第3週
9/28  Holiday... 
第4週
10/05  Review of Linear Algebra
Mathematic background: Convexity and concavity 
第5週
10/12  The fundamental of Linear Programming 
第6週
10/19  Simplex method 
第7週
10/26  Two-phase Simplex,
Duality,
Reservoir operation 
第8週
11/02  WEAP: Water Evaluation And Planning System
https://www.youtube.com/watch?v=D7YS1miuSZM 
第9週
11/09  OFF 
第10週
11/16  1. Dual-Simplex Method
2. Nonlinear Programming
3. Review of Engineering Economics 
第11週
11/23  Unconstrained NLP
1. Conjugate Gradient Method
2. Quasi Newton Method
Constrained NLP
1. Lagrange Multiplier
2. KKT condition 
第12週
11/30  Dynamic Programming 
第13週
12/07  Midterm 
第14週
12/14  Policy Tool
Matlab Optimization 
第16週
12/28  Standards vs standards 
第17週
1/04  Application