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CE 115 Introduction to Civil Engineering: Introduction to engineering design process and analysis techniques including problem solving skills, development of software use skills, graphical analysis, data analysis, economic decision making, documentation skills, and use of structured programming concepts in designing personal applications.

CE 325 Fundamentals of Hydrologic Engineering:  Principles of hydrologic science and application to the solution of hydraulic, hydrologic, environmental, and water resources engineering problems; application of principles and measurements of precipitation, evaporation, infiltration, and snowmelt in development of rainfall-runoff models appropriate to various catchment scales for engineering purposes; some emphasis on urban hydrology problems, stormwater management, and mathematical modeling. Some field exercises.

CE 326 Hydrologic Measurement Techniques:  The objective of this course is for students to gain practical experience in field and laboratory measurement of various hydrologic processes including basic climatology, precipitation, infiltration, soil moisture, evaporation, and streamflow. Data analysis methods also covered. Laboratory reports required. This course is intended to complement CE 325.

CE 330 Fundamentals of Environmental Engineering: Introduction to key concepts of environmental engineering, including ecological, chemical, and microbiological processes; types and effects of pollutants; treatment of water, wastewater, sludges, and solid waste; control of air, noise, and agricultural pollution.

CE 421 Engineering Hydrology: Hydrologic cycle as applied to engineering projects; statistical methods; hydrograph routing; design hydrographs; introduction to hydrologic simulation.

CE 402 Applied Numerical Methods for Engineers:  Approximate and numerical methods for solution of systems of linear and nonlinear equations, initial value, boundary value, and partial differential equations with practical applications, analysis of error, improvement of accuracy, and numerical and matrix techniques for computation by digital computer. Prereq: Math 310 and a high level programming language.

WR 506 Interdisciplinary Methods in Water Resources: Student and faculty teams from traditionally disparate disciplines address real issues to develop methods for communicating across disciplines and for solving water resources problems. The course takes a problem-oriented approach using case studies. Faculty lead students through this integrative process with lectures and working sessions.

WR 507 Integrated Water Resources Projects

CE 527 Computational Hydrology:  Computational Hydrology covers a mix of fundamental and applied issues in hydrologic modeling. Topics include: hydrologic model classification and availability, governing equations (surface water and infiltration/unsaturated flow) and applicable numerical methods, simulation of rainfall-runoff processes at various scales, watershed and channel routing, and parameter estimation. Emphasis is placed on mechanistic modeling. Kinematic waves and finite difference techniques are covered in detail.