GIS 5103. Foundations of Geospatial Science and Technology. (2 Hours)
Introduces students to the fundamental concepts, theories, and applications of geospatial science and technology. Geospatial science involves the study of spatial data, its analysis, and its representation using various technologies. Offers students an opportunity to obtain a solid understanding of the principles underlying geographic information systems, remote sensing, cartography, and spatial analysis. Provides a strong foundation for students interested in pursuing careers in geospatial technology, urban planning, environmental science, natural resource management, geography, and related fields.
GIS 6210. Geospatial Applications. (2 Hours)
Presents a comprehensive exploration of the various geographic information system applications. Offers students an opportunity to obtain the skills and knowledge necessary to leverage geospatial tools for data analysis, visualization, and decision making across different domains. Uses a combination of theoretical understanding and practical exercises to study how to use advanced geospatial applications to solve complex spatial problems and create meaningful solutions.
GIS 6220. Geospatial Programming. (2 Hours)
Studies the essential programming skills and tools necessary to effectively manipulate, analyze, and visualize geospatial data. In a rapidly evolving technological landscape, harnessing programming and automation techniques is crucial for professionals in geospatial fields such as remote sensing, geographic information systems, cartography, and spatial analysis.
GIS 6230. Advanced Geospatial Analysis. (2 Hours)
Delves deeper into the methods, theories, and techniques for analyzing complex spatial data and solving real-world problems, building upon the foundational concepts of geospatial science and technology. Suited for students aiming to specialize in geospatial analysis, research, or advanced applications. Designed to prepare students for careers in academia, research institutions, government agencies, and industries that require advanced spatial analysis skills. Requires a solid understanding of geospatial science and technology principles.
Prerequisite(s): GIS 5103 with a minimum grade of C- or GIS 5103 with a minimum grade of C- or GIS 5102 with a minimum grade of C-
GIS 6240. Geospatial Predictive Analytics. (2 Hours)
Offers students an opportunity to obtain the skills and knowledge to harness the power of geospatial data for making informed predictions and decisions. Delves into the theory and practical application of predictive analytics techniques using Esri's ArcGIS Insight, a powerful tool for visualizing and analyzing spatial data. Covers data preprocessing, feature selection, model creation, evaluation, and interpretation. Applies predictive analytics techniques to geospatial data and examines how to contribute to data-driven decision making in various domains.