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