Advances in computing and information technology are revolutionizing how we manage our water resources. The goal of this course is to introduce participants to the linkage of computing, information technology, and practical aspects of water resources management.
The course will describe general concepts of systems analysis and modeling, within a Decision Support System framework, as these models apply to the planning, design and operation of water resources systems. The use of computer models allows the water resources engineer to efficiently and effectively evaluate many alternatives and to promote improved decision-making. Students will apply simulation, optimization, and multi-criteria decision analysis models to example problems in water resources.
The course will also discuss how emerging technologies such as evolutionary optimization, collaborative community-based modeling approaches, and collaborative sharing of information might be used to improve water resources management.
This course has print-based exams that require a proctor. Exams may be taken at the University Testing Center at Colorado State University, or at an accredited College or University Testing Center in your area. Online proctoring through Proctortrack is not available for this course. To request to take your exam at an accredited testing site in your area, please submit a Proctor Identification Form at least two weeks prior to the first exam in the course. Submit your Proctor Identification Form by going to the following link: http://www.online.colostate.edu/proctoring/
This course can be applied towards:
CIVE 322 (Basic Hydrology or concurrent registration); ENGR 510 (Engineering Optimization: Method/Application or concurrent registration) or MATH 510 (Linear Programming and Network Flows) or concurrent registration.
Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email email@example.com to learn more.