S-Environmental Careers Sem

This seminar offers students an opportunity to explore environmental careers that are appropriate for students in environmental conservation, sustainability science, and related fields. We will meet weekly to work on the requested elements for the professional world after graduation, such as resumes, networking, mentoring, interview skills, and more. We will also examine top sectors and growing fields to help students in professional degree programs position themselves for their intended career.

S-Readings/SustainableBldgSyst

Students in this course will read and discuss current publications that span the entire field of our graduate program. Regularly scheduled discussions will be led by each member of our graduate faculty. This course provides an overview of the breadth and an introduction to the depth of research in our field and serves as a primer for all our graduate students.

S- Migration Theory

Our understanding of animal migration has progressed by leaps and bounds in recent decades, but how do we know what we know? This seminar will focus on understanding the foundations of the modern study of migration and incorporate studies from a wide range of taxa. Course materials will emphasize a reading of both the classical and contemporary primary literature.

S-SustainableBuildngSystemSem

The course serves as a dynamic sampling of the multiple disciplines necessary to create or modify the Built Environment. Discussions based on lectures presented by various educators, researchers, and practitioners; experts in their fields will provide students with a broadened perspective, which will help foster critical thinking and provide a more expansive view of the Built Environment.

S-Eco Responses/Climate Change

This seminar will discuss recent and emerging topics of how climate change is impacting fish, wildlife and related natural resources. Students will become familiar with the latest literature and scientific approaches on ecological responses to climate change as well as management, conservation and adaptation strategies being implemented to decrease risk and vulnerability to climate and interactive stressors.

S-Current Res in Environ Consv

Provides graduate students with a broad sampling of new and cutting-edge research related to environmental conservation to help foster critical thinking and provide a more expansive view of natural resources research. Seminars will be given by departmental faculty and faculty from other departments, both on campus and from other institutions. The seminars will be designed for both students who plan a research career and those who plan a more applied path.

Data Wrangling

Module will cover the basic tools on transforming and working with data. Students will learn different ways to format data and think through workflows. The course will focus on data wrangling methods in the program R, but many of the ideas apply to any programming language. This is a module that is taught over four weeks, where there is one 3 hour class meeting per week. During that class meeting, there will be a combination of lecture and lab, with most of the class time devoted to lab time.

Data Visualization

Module will cover how to manipulate and extract data, how to create high-impact visualizations of common data analyses, the best techniques and methods to analyze and visualize data with R programming and creating dashboards and visual analytics. This module is taught over four weeks, where there is one 3 hour class meeting per week. During that class meeting, there will be a combination of lecture and lab, with most of the class time devoted to lab time.

Data Simulation

Module will cover how to use data simulations for generalized linear models, generalized linear mixed models, and some state space models (like occupancy models, N-mixture). The course will focus on statistical methods in the program R, and both frequentist and Bayesian methods will be covered to teach students how to develop a deeper understanding of models routinely used in ecology. This is a module taught over 4 weeks, where there is one 3 hr class meeting per week. During that class meeting, there will be a combination of lecture and lab, with most of the class time devoted to lab time.
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