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-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.

Design/Implem/Analysis:Surveys

This graduate-level course will provide students with the skills to successfully design, implement, and analyze a survey. The course will begin by outlining the survey process. The discussion will then turn to survey modes and their relative strengths and weaknesses. A cornerstone of the course is an in-depth exploration of the sources of survey errors and the tools available for avoiding and mitigating these potential biases. Survey implementation will follow the ?Dillman?

Applications in UAS

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.

Python for ARC GIS

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.
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