• NR 6570: Ecological Foundations of Natural Resource Management

  3.00 Credits

  Utah State University

  
  The overall aim of this course is to make direct links between principles of ecological theory and applied aspects of natural resource management.
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• NR 6580: Data Analysis and Programming for Natural Resource Managers

  3.00 Credits

  Utah State University

  
  The purpose of this course is to provide working professionals seeking a master's degree in Natural Resources with an introduction to applied statistics and programming. To achieve this, we will use an open source (freely available) program called 'R'. Undergraduate level programming, statistics, and calculus would be helpful, but are not required.
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• NR 6600: Natural Resources Integrative Experience

  1.00 - 6.00 Credits

  Utah State University

  
  Under the direction of the student's supervisory committee, student completes an integrative capstone experience in his or her specialty. During their program of study, students not allowed to take this course for more than 6 credits. Repeatable for credit.
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• NR 6805: Introduction to Geospatial Artificial Intelligence: The Remote Sensing and GeoAI Frontier

  3.00 Credits

  Utah State University

  
  This course provides students with a comprehensive understanding of the intersection between geospatial information, remote sensing, and artificial intelligence, equipping them with both theoretical knowledge and practical skills for applications in diverse fields. Additional coursework is required for those enrolled in the graduate-level course. Cross-listed as: GEOG 6805
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• NR 6815: Insights from Above: Processing and Analyzing Drone Data

  1.00 Credits

  Utah State University

  
  This comprehensive and hands-on course covers basic and advanced techniques for processing drone imagery. Students gain practical skills that can be applied to real-world scenarios in various industries. Additional coursework is required for those enrolled in the graduate-level course. Cross-listed as: GEOG 6815
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• NR 6825: Geospatial Artificial Intelligence, Ethics, & Society

  1.00 Credits

  Utah State University

  
  This course addresses emerging ethical, security, and privacy issues associated with rapid developments in spatial data technologies, including in geospatial artificial intelligence and remote sensing. Additional coursework is required for those enrolled in the graduate-level course. Prerequisite recommendations: GEOG 6805 or NR 6805 Cross-listed as: GEOG 6825
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• NR 6835: Geovisualization for Remote Sensing Applications

  1.00 Credits

  Utah State University

  
  This course provides students with a comprehensive understanding of visualization techniques unique to remote sensing. Prerequisite Recommendations: Coursework or applied experience in remote sensing Cross-listed as: GEOG 6835
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• NR 6855: Advanced Geospatial Artificial Intelligence

  3.00 Credits

  Utah State University

  
  This course covers the knowledge and skills necessary to effectively apply remote sensing techniques, integrate geospatial artificial intelligence methodologies, and contribute to advancements in the rapidly evolving field of geospatial analysis. Prerequisites: GEOG 6805 or NR 6805 Cross-listed as: GEOG 6855
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• NR 6880: Advanced Remote Sensing & GeoAI Internship

  2.00 - 3.00 Credits

  Utah State University

  
  Internships in remote sensing and geospatial artificial intelligence (GeoAI) provide graduate students with work experience applying classroom skills to real-world problem-solving. Students secure the internship opportunity and work with a faculty supervisor to establish student-specific learning objectives. Cross-listed as: GEOG 6880 Instructor approval required
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• NR 6890: Advanced Project Design and Implementation for Remote Sensing & GeoAI

  1.00 - 3.00 Credits

  Utah State University

  
  This course serves as a culminating experience for the Applied Remote Sensing & GeoAI Post-Baccalaureate Certificate Program. Students plan, implement, and communicate the results of a project that employs remote sensing and geospatial artificial intelligence techniques. Cross-listed as: GEOG 6890 Instructor approval required
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