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  • 3.00 Credits

    Geographically analyzes conservation of natural and human resources, as well as political, social and ethical ramifications of environmental policy. Prerequisites: Graduate Standing (GR)
  • 4.00 Credits

    Centers on the role of information technology in support of scientific research. Through integration of multiple software packages (e.g. Relational databases, ProgramR and ArcGIS), proven database designs, and SQL scripting, increased efficiency and utility will occur during data analyses. These information science principles are demonstrated using project-based examples. Cross listed with ECOL/GEOG 5050. Prerequisite: graduate standing.
  • 3.00 Credits

    This course, required of students in all ENR graduate programs, provides students with language and conceptual frameworks for understanding a range of perspectives that stakeholders bring to ENRS issues. It builds students' "epistemological toolbox" for interacting with others who bring different paradigms of thought, values, ways of knowing, and terminology into the "big tent" of environmental studies. Prerequisite: Graduate student status.
  • 3.00 Credits

    This course will use complex, real-world environmental challenges to explore fundamental scientific principles. Students will learn how scientists tackle environmental issues by formulating objectives, collecting and analyzing scientific data, as well as to critically evaluate information sources and limitations to scientific approaches due to constraints associated with each study. Prerequisite: graduate student standing.
  • 3.00 Credits

    Introduction to 1) how interactions among species, ecosystems, human systems, and abiotic components of the environment affect patterns and processes of disease, 2) considerations for coevolution of hosts and pathogens, conservation biology, models used to understand disease dynamics, and approaches to manage and control disease in animals, plants, and humans. Dual/Cross List: PATB/ENR 4240/5240. Prerequisites: LIFE 2022 or 2023 and STAT 2050 or 2070.
  • 4.00 Credits

    This course will help students prepare a scientific manuscript for submission to a peer-reviewed journal; in so doing, students will become more effective, efficient, and confident writers. Students will learn principles of effective writing, how to prepare a manuscript for publication, navigate the peer-review process, and write a constructive review. Prerequisite: Students must have graduate standing and an analyzed dataset on which the manuscript will be based. Students must have approval from their advisors and key collaborators before embarking on this journey. We also encourage students to maintain this approval throughout the semester.
  • 4.00 Credits

    Teaches essential and unique characteristics of the hydrologic cycle as it occurs on range and forest lands, concentrating on quantification of these processes and storages. Course consists of lectures and a computer lab. Cross listed with REWM 5285. Dual listed with ENR 4285. Prerequisite: MATH 1000, MATH 1450, or MATH 1405.
  • 3.00 Credits

    Addresses how human societies interact with their surroundings, emphasizing cultural understandings of the environment. Introduces variety of theoretical and methodological approaches to topics ranging from problems of the American West to global environmental change. Cross listed with ANTH 4310. Dual listed with ENR 4310. Prerequisite: ANTH 1200.
  • 3.00 Credits

    Examines how to use negotiation to resolve conflict and get agreement. Describes conflict; outlines ways to address conflict; examines different negotiation strategies and the impact of cognitive bias, power, ethics, and individual and cultural differences; and explores mediation practices. Students complete negotiations, role-plays, and questionnaires. Cross listed with AGEC 5450. Dual listed with ENR 4450. Prerequisite: Graduate standing.
  • 4.00 Credits

    Introduces basic concepts of risk analysis, including risk perception, identification, assessment, communication, management, and policy. Provides quantitative treatment of risk assessment procedures, fundamental mathematical models, and the concepts of variability and uncertainty; and practical experience in risk analyses conducted by teams of students. Emphasizes environment and natural resource examples. Prerequisites: MATH 1000 or 1400, introductory statistics and familiarity with Excel spreadsheets.