Pennsylvania State University-Penn State Greater Allegheny · Courses
WFS
14 courses with the subject WFS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
WFS 500Professionalism in Natural Resources3
Scholarly discussion and critique of skills important to professionalism of students in natural resources, wood products, and related science-based disciplines. W F S 500 Professionalism in Natural Resources (3) The course will give an in-depth coverage of issues and skills pertinent to the professionalism of graduate students in natural resources, wood products, or related science-based disciplines. Particular focus will be given to a discussion, critique, and development of communication skills (oral and written). In addition, a spectrum of pertinent topics and issues relevant to graduate students will be discussed in depth, ranging from the philosophy and land-grant institutions and to those important to the academic success of graduate students and their success in future careers. This course will be offered in fall semester each year.
Application of the scientific method and general principles of designing ecological field studies through discussion and critique of the primary literature.
Principles and methods of classification, phylogeny, and speciation; taxonomic techniques; analysis of species; causal interpretation of animal diversity.
Application of statistical models to estimating population parameters to test ecological theories. W F S 560 Population Estimation and Modeling (4)The purpose of this course is to impart a working knowledge of statistical methods for estimating fish and wildlife populations. Primary emphasis will be on methods of estimating population size, survival rates, and birth rates as they relate to testing hypotheses about population dynamics. Most of the course will focus on mark-recapture models for both open and closed populations, but other methods such as distance sampling and removal models that do not require marked animals will be studied.
Students will develop skills in understanding and processing complex datasets while learning traditional and innovative methods for spatial data analysis. The purpose of this course is to assist researchers on methods for data management and analysis using a state-of-the-art statistical program after data has been collected in the field or for designing field experiments. The course focuses on wildlife/fisheries research, both basic and applied, that rely on large ecological datasets that provide unique opportunities to explicitly incorporate sources of spatial and temporal variability into understanding motivations for an organism's movements, resource selection, subpopulation structuring, or presence in a landscape. The impetus behind this course and resulting manual was to import data from spreadsheet software, import Geographical Information Systems (GIS) layers, and conduct statistical analysis of datasets all in a single software platform. In the past several decades, advancements in data acquisition have resulted in datasets often with thousands of records. Concurrent with these advancements in acquisition, methods of handling and manipulating large datasets, GIS capabilities, and methods of estimators for home range, movements, resource selection, and spatial epidemiology have increased dramatically.
