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Course Criteria
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1.00 - 9.00 Credits
This course involves a graduate-level educational experience in an internship/cooperative education position approved by department. Repeatable for credit. Pass/Fail only.
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1.00 Credits
This 5 day field course introduces students to the big questions in Watershed Sciences and the Department community. Students learn about nearby watersheds and the rich diversity of approaches and technologies available to address research questions. Pass/Fail only
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2.00 Credits
In this introductory course, students examine big ideas in watershed science and supporting disciplines of hydrology, geomorphology, biogeochemistry, and aquatic ecology. Students examine key concepts while exploring the methods, culture, and challenges of scientific inquiry. Pass/Fail only.
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3.00 Credits
Explores the physical, chemical, and biological structure of wetlands. Focuses on the major types of wetlands found in North America, as well as their ecology and management; U.S. wetland policy and mitigation; and regional, national, and global impacts on restoration of wetlands. Cross-listed as: WATS 4310.
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3.00 Credits
Resources allocated to conservation and ecosystem management are limited. In this course, students learn how to prioritize resources allocated to environmental management, and are provided with the tools necessary to conduct their own landscape analyses using Marxan.
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1.00 Credits
Students teach and apply principles, theory, and skills required for aquatic ecosystem management and restoration projects. Students learn leadership and followership skills as they mentor, provide guidance, and offer feedback for students developing capstone restoration projects in WATS 5350. Repeatable for credit: No Grade Mode: Pass/Fail only
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1.00 Credits
This course will help improve student's abilities to communicate scientific ideas and results to peers and the public. The course is designed for new graduate students who have not yet prepared their theses proposals or presented their pre-project seminars. Pass/Fail only
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3.00 Credits
Linear, logistic, and general additive analysis of biological and/or environmental data hierarchically structured (nested) within individuals or locations or time. This course includes foundational principles, mixed effects statistics, case studies, and students analyze their own data with instructor guidance. Prerequisite: WILD 6500 or equivalent General statistical knowledge and profiency with R Cran statistical software
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3.00 Credits
Students will learn how to design and fit models describing population dynamics (e.g., abundance, age-structure, state-transition), and then use these models in simulations to compare the outcomes of alternative management options (e.g., changes to harvest, connectivity, habitat). Additional coursework is required for those enrolled in the graduate-level course Prerequisite(s): WILD 6580 Prerequisite Recommendation(s): Students must be familiar and comfortable with the R Statistical Computing Environment. Registration Restriction(s): Graduate standing or instructor permission Registration Restriction Special Approval: Senior undergraduates wishing to take this course must meet with and receive approval from the instructor prior to registering. Dual-listed as: WATS 7460 Repeatable for credit: N Grade Mode: Standard
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4.00 Credits
Detailed exploration of concepts of hydrologic processes in small, wildland watersheds. Concentrates on recent research findings concerning examining key hydrological processes. Particular attention paid to study of partitioning of water in the hydrologic cycle, sources for runoff generation, snow and snowmelt, and erosion. Features process modeling and parameter estimation techniques as related to wildland systems. Additional oral and written assignments required for graduate students. Cross-listed as: WATS 4490
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