GIS-298/398. Topics in Geographic Information Science
Course on GIS topics of special interest, not extensively treated in regularly scheduled offerings, will be presented under this course number on an occasional basis. May be repeated for credit.
GIS-271. Introduction to GPS & GIS
An introduction to Global Positioning Systems (GPS), Geographic Information Systems (GIS), and geospatial mapping concepts and applications. Topics include coordinate systems, reference ellipsoids, geodetic datums, map projections, history of GIS, relational database management, quality control, GIS as a decision support tool, and data manipulation, processing, and analysis. Practical field use of GPS is emphasized within the context of understanding system components, satellite signal processing, selective availability, base station differential correction, and data export to GIS. Geospatial data science is discussed within the context of real-world locational phenomena. This course it designated as computer intensive (CI). Two hours of lecture and three hours of lab per week.
GIS-272. Advanced GIS & Remote Sensing
An advanced course on Geographic Information Systems (GIS) and Remote Sensing. GIS topics build upon introductory-level coursework in GIS 271, and introduce more advanced applications of GIS software such as density mapping and interpolation of point data (geostatistical methods), surface analysis and 3D modeling of geospatial data, open source alternatives to ArcGIS, and web map design and development design. Remote sensing topics include aerial and satellite visual imagery, digital image processing, photogrammetry, Light Detection and Ranging (LiDAR), and multispectral remote sensing systems and theory. The course will also include case studies of remote sensing and GIS techniques applied in a variety of studies. Field use of GPS is emphasized, in addition to the use of small Unmanned Aerial Systems (sUAS) to capture aerial digital imagery. Laboratory component emphasizes practical skills and tools in achieving desired results in processing geospatial data, particularly raster data types. This course it designated as computer intensive (CI). Two hours of lecture and three hours of lab per week.
GIS-301. GIS Applications & Colloquia
This course will further explore fundamental and advanced GIScience topics through solving real-world problems. It will provide a practical, hands-on approach to learning about GIS applications for a selection of different fields such as security, criminology, business/marketing, human and health services, epidemiology, environmental systems, geology, political science, natural resources, urban planning, and agriculture, among others. Additionally, the course includes a colloquia component (required for students enrolled in the course), where students will have the opportunity to industry and academic experts in GIScience applications to various fields. The colloquia component would also be open to the public. This course it designated as computer intensive (CI). Three hours of lecture per week.
GIS-310. GIS Programming and Customization
The course introduces students to methods of solving geospatial problems by creating automated Geographic Information System (GIS) software through programming. Python programming language – with its simple syntax and powerful set of libraries – will be used to write and edit scripts that add functionality to existing GIS desktop tools and to automate geospatial analytic processes. No previous programming experience is required. Python programming topics will include object-oriented programming, object model diagrams, loops, if-then statements, and modular code design within the context of geospatial analytics and workflows to solve geospatial problems. This course it designated as computer intensive (CI). Two hours of lecture and three hours of lab per week equivalent.
GIS-315. Web GIS
GIS-320. Introduction to Geospatial Modeling
This course introduces how GIS can be used to construct and simulate dynamic models
of geospatial phenomena, which involve variation over space and/or time. This course
provides foundations on geospatial modeling, and an understanding of various issues
related to geospatial modeling and simulation. Students will learn concepts, tools,
and techniques commonly used in GIS modeling, including approaches from continuous
representation of system dynamics to the discrete interactions of individual, agent-based
models. This course it designated as computer intensive (CI). Two hours of lecture
and three hours of lab per week.
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