Scientific basis for modern fisheries management, emphasizing coldwater fishes, anadromous species, large reservoir and river fisheries, and conflicts of interest with other water uses.

Not available at this time.

Contact department for description.

Contact department for description.

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.

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.

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.

This Unoccupied Aerial Systems (UAS) capstone course will provide the essential aeronautical, business, legal knowledge and skills to achieve a successful foundation in UAS industry. Students that complete this application course will be prepared for successful careers as Remote Pilots in Command (PICs), observers, payload operators, and/or operational managers of governmental and private sector UAS applications.

This course will cover several programming methods and applications in GIS. Beginning in the (familiar) ArcGIS environment, this course will explore fundamentals of programming in Python while learning the Model Builder interface. By exploring basic automation methods of repetitive or complex tasks, this course will also introduce the foundations of computer science and computational thinking. While gaining proficiency in Model Builder, this course will expand to other python scripting applications, both within ArcGIS and on other platforms.

Spatial data provides an extra layer of information that provides an opportunity to gain powerful insights from our data. Analysis of spatial data also poses unique challenges and pitfalls. In this course, students will learn a range of techniques for analyzing data with spatial information, from both a theoretical standpoint as well as implementation of methods in R.