Engineering Commons^™

Optimization Methods And Applications - Michigan Technological University, Houghton, David Watkins

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Undergraduate course in optimization methods and applications offered at Michigan Technological University, Houghton in Spring 2014.

Water Resources Planning And Management - University Of Florida, Jim Heaney

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This course is designed to (1) acquaint students with the role of analytical methods in water resources planning processes; (2) differentiate the roles of professionals and decision makers; and (3) present methods for evaluating multi-purpose water resource systems. Course taught at University of Florida.

Infrastructure Modeling - George Mason University, Mark Houck

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To introduce the range of problems encountered in civil, environmental and infrastructure systems engineering. To introduce the concepts of systems analysis and systems engineering. To develop the ability to construct appropriate models of complex systems, including multiple objectives. To use these models to analyze and solve real problems in the field of infrastructure systems engineering. Course taught at George Mason University.

Water Resource Systems Analysis - Colorado State University, John Labadie

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The goal of this course is to introduce participants to general concepts of systems analysis and systems engineering as they apply to the planning, design and operation of water resources systems. The course focuses on the use of computer-based mathematical models for analyzing water resources systems. Students are exposed to a variety of example applications of systems analysis to water resources problems. Course taught at Colorado State University.

Water Resources Systems Engineering - Technion, Avi Ostfeld

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Course taught at Technion - Israel Institute of Technology.

Water Resource Systems Analysis And Management - Amirkabir University Of Technology, Jamshid Mousavi

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Course taught at Amirkabir University of Technology.

Water Resources Management - University Of California, Davis, Jay R. Lund

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Graduate course in water resources management offered at University California, Davis in Fall 2013.

Environmental Systems Modeling And Management - University Of Virginia, Charlottesville, Teresa Culver

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Grad/Undergrad course in environmental systems modeling and management offered at University of Virginia, Charlottesville in Fall 2013.

Deterministic Optimization And Design - University Of California, Davis, Jay R. Lund

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Undergraduate course in deterministic optimization and design offered at U.C. Davis.

Water Resources Planning And Management - Michigan Technological University, Houghton, David Watkins

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Graduate course in water resources planning and management offered at Michigan Technological University, Houghton in Fall 2013.

Water Resource Economics And Management - University Of North Carolina At Chapel Hill, Greg Characklis

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Graduate course in water resources economics and management offered at University of North Carolina at Chapel Hill in Fall 2013.

Infrastructure Systems Analysis - George Mason University, Mark Houck

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To introduce the concepts of systems analysis and systems engineering within the domain of civil and infrastructure engineering To introduce/review a variety of tools and methods used in the analysis of infrastructure systems To prepare students for continued study in civil, environmental and infrastructure engineering. Course taught at George Mason University.

Water Resources Planning - University Of Massachusetts Amherst, Richard Palmer

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Course taught at University of Massachusetts Amherst.

Water Resources Planning - Fall 2013 - University Of Massachusetts Amherst, Richard Palmer

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Water Resources Planning course taught by Richard Palmer offered in Fall 2013 at University of Massachusetts Amherst. Course materials include lecture slides on specified topics (.ppt and .pdf) and 8 exercises:

Exercise 1 - Fairweather planning (Exer1-2013.pdf)

Exercise 2 - Developing a team (Exer2-2013.pdf)

Exercise 3 - Problems, Opportunities, and Goals Revisited (Exer3-2013.pdf)

Exercise 4 - Defining the Status Quo (Exer4-2013.pdf)

Exercise 5 - Shared Vision Models (Exer5-2013.pdf)

Exercise 6 - Formulating Alternative Plans (Exer6-2013.pdf)

Exercise 7 - Measures of Performance (Exer7-2013.pdf)

Exercise 8 - Selecting Among Alternatives (Exer8-2013.pdf)

Materials also include an example student final report (NOFAWAC_FINAL-Planning Report.pdf)

Water Policy, Planning And Governance - University Of Central Florida, Kaveh Madani

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Water Resources Policy, Planning and Governance deals with political, social, economic and administrative systems that affect the use, development, planning, and management of water resources at different levels. Course taught at University of Central Florida.

Probabilistic Design And Optimization - University Of California, Davis, Jay R. Lund

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Graduate course in probabilistic design and optimization offered at University of California, Davis in Winter 2013.

Heuristic Methods For Optimization - Cornell University, Christine Shoemaker

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Heuristic optimization algorithms are artificial intelligence search methods that can be used to find the optimal decisions for designing or managing a wide range of complex systems. This course describes a variety of (meta) heuristic search methods including simulated annealing, tabu search, genetic algorithms, genetic programming, dynamically dimensioned search, and multiobjective methods. Algorithms will be used to find values of discrete and/or continuous variables that optimize system performance or improve system reliability. Students can select application projects from a range of application areas. The advantages and disadvantages of heuristic search methods for both serial and parallel computation are discussed in …

Environmental Systems I - University Of Illinois, Urbana, Ximing Cai

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Undergraduate course in environmental systems at University of Illinois, Urbana in Fall 2012.

Interdisciplinary Modeling: Water-Related Issues And Changing Climate - New Mexico State University, Laurel Saito, Alexander Fernald, Timothy Link

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Graduate course in interdisciplinary modeling: water-related issues and climate change offered at University of Nevada, Reno in Summer 2012.

Integrating Seasonal Climate Forecasts Into Institutional Decision-Making Processes, David Watkins

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It is often challenging to integrate climate forecast use into actual decision-making processes, even when modeling demonstrates significant benefits from its use. Decision-making processes are guided by both formal policy frameworks, and the particular institutional structures under which decision-makers must operate. In addition, water is shared across multiple stakeholders, who are often represented by specific government or private sector agencies. These agencies face different costs depending upon the outcome of a forecast, and different preferences for risk. Depending upon the institutional and political arrangements for how decisions are made, these stakeholder interests may figure more or less strongly in water …

Systems Analysis Of Resources Development - California State University, Sacramento, Kaveh Madani

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The course presents a variety of systems analysis techniques that can be used for resource planning and management in the civil engineering field. Simulation and optimization techniques (or mathematical programming) are emphasized as they apply to civil engineering problem solving. Course taught at University of Central Florida.

Infrastructure Economics - University Of California, Davis, Jay R. Lund

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Graduate course in infrastructure economics offered at University of California, Davis in Winter 2008

Water Resources Systems Analysis - Course Notes, A Bruce Bishop, Trevor Hughes, Mac Mckee

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Water resources systems analysis course notes for CEE 6410 taught at Utah State University. Coverage includes:

Chapter 1 - Concepts and methods

Chapter 2 - Linear programming-introduction and graphical methods

Chapter 3 - Linear programming - simplex method

Chapter 4 - Linear programming - applications to simple water problems

Chapter 5 - Dual LP and post optimality analysis

Chapter 6 - Integer programming

Chapter 7 - More applications of integer programmign

Chapter 8 - Piecewise linearization

Chapter 9 - Other types of LP models

Chapter 10 - Dynamic programming

Chapter 11 - Gradient-based nonlinear optimization methods

Chapter 12 - Genetic …