Skip to Content

Course Search Results

  • 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 hydrologic cycle as occurred on range and forest lands, concentrating on quantification of these processes and storages. Cross listed with REWM 5285. Dual listed with ENR 4285. Prerequisite: Graduate standing.
  • 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.
  • 1.00 - 3.00 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.
  • 1.00 Credits

    Laboratory section in which students use computer software to apply Monte Carlo analysis and Decision Analysis to environmental case studies. Laboratory section facilitates application of principles of risk analysis in decision-making presented in lecture in ENR 4500/5500. Prerequisites: Concurrent enrollment in ENR 4500/5500.
  • 2.00 Credits

    Carnivores are positioned at the top of food webs and can impact ecosystems through top-down forcing. This course will take a tour through carnivore ecology and conservation, where we read foundational and contemporary papers as well as have guest lectures from professionals across the country and beyond.
  • 4.00 Credits

    Explores fundamentals of environmental data analysis including the displayand description of data, uncertainty propagation, statistical significance and power, t-tests, ANOVA, time series, serial correlation, multiple regression, and sample collection strategies. Students must enroll in a computer-based lab session and complete a term project involving real-world problems in data analysis. Dual listed with ENR 4525. Cross listed with GEOL 5525.