GIS 611: Fundamentals of Geographic Information, Techniques & Applications (4 credits)

Provides students with the foundation of theoretical and applied skills in GIScience and technology. Students work on a progression of tasks and assignments focused on GIS data collection, manipulation, analysis, output, and presentation. The assignments reinforce the GIS theory and technology concepts introduced through lectures and discussion.

Choose from the following (minimium of 10 credits required):

GIS 666: Projections and Coordinate Systems (2 credits)

This course explores map projections and coordinate systems. We will study the principles and properties of several of the common map projection families, spherical/geographical coordinate systems, and SPC and UTM planar coordinate systems, all within the ArcGIS and GeoCart software environments.

GIS 668: Communicating Geographic Information (2 credits)

Begins with basic theory of cartographic and graphic data as it applies to GIS data. Explores GIS data models to support mapping and various advanced applications of cartographic methods, including multivariate mapping, multi-scale mapping, cartographic visualization including mixed virtual reality, animated and interactive mapping, and Web mapping.

GIS 662: Geographic Database Management Systems (4 credits)

Provides fundamental theoretical knowledge about information systems, in general, and the unique demands for managing spatial data. Introduces information systems theory and best practices, system design and architecture, and data modeling. Practice application of database theory and methods builds understanding of modern GIS technology.

GIS 663: Remote Sensing and Image Analysis (4 credits)

This course covers the principles of remote sensing and image analysis. It introduces image data format, acquisition, and interpretation. Additionally, the course covers the subject of electromagnetic radiation principles, remote sensing sensor characteristics, image data classification, and photogrammetry.

GIS 667: Programming for GIS with Python (4 credits)

Introduction to programming concepts necessary for GIS: writing simple statements, organizing code, handling user interaction, and incorporating decision-making logic in code.Introduction to object-oriented programming concepts: methods, properties, and event-driven programming.

GIS 669: GIS for the Web (2 credits)

Practice the skills needed to create GIS applications for the Web and other networks. Through hands-on projects, students will create their own Web GIS application; in-depth discussions of issues that affect Web GIS from network and security concerns to design for focused and effective Web applications.

GIS 665: Geospatial Analysis (4 credits)

This course surveys a wide range of analytical methods and techniques commonly applied to geospatial data. Both data-driven (exploratory data analysis) and model-driven (testing hypothesis) approaches are included. Major topics include point pattern analysis, spatial autocorrelation, spatial regression models, network analysis, and field analysis.