NTRES 4120
Last Updated
- Schedule of Classes - September 10, 2024 10:17AM EDT
- Course Catalog - September 10, 2024 9:19AM EDT
Classes
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NTRES 4120
Course Description
Course information provided by the Courses of Study 2023-2024.
This course will explore the theory and application of statistical methods used in the conservation and management of wildlife and fish populations, including capture-mark-recapture and occupancy modeling as well as other cutting-edge methodologies. This course will focus on estimating population parameters, such as survival, recruitment, movement, and abundance, as well as the dynamics associated with temporal changes in these parameters. Individual modules will integrate hypothesis development, data analysis, and inference to reinforce concepts discussed throughout the course. Students will become fluent in the R programming language and be exposed to a wide variety of real-world applications.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: NTRES 3100 or NTRES 4100 (or equivalent or permission of instructor).
Outcomes
- Apply appropriate tools and methods of scientific inquiry to wildlife and fisheries research.
- Articulate the role of parameter estimation in the development and application of statistical models as used in the conservation and management of biotic resources.
- Use fundamental statistical methods to describe structure and dynamics of populations and communities.
- Critically read, interpret and critique peer-reviewed literature on the estimation of population parameters.
- Articulate the importance of accounting for detection uncertainty in the analysis and interpretation of change in wildlife and fish populations over space and time.
Regular Academic Session. Choose one lecture and one laboratory.
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- TR Mann Library B30B
- Jan 22 - May 7, 2024
Instructors
Davis, C
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Class Number & Section Details
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Meeting Pattern
- F Mann Library B30A
- Jan 22 - May 7, 2024
Instructors
Davis, C
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