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Course Criteria
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3.00 Credits
This applied course introduces modern techniques in digital image processing, including the enhancement and quantification of remotely sensed imagery. Emphasis is placed upon the processing of data gathered by airborne and satellite sensors, with applications in geology, forestry, water quality, and land use management. Exercises will be based on watershed scale environmental assessments in the North Georgia region.
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3.00 Credits
A continuation of GISC 2011, this course is an introduction to more complex spatial operations in GIS. Emphasis is placed on geographic data analysis, including data sampling, statistical description, manipulation, presentation, and interpretation. One lab period consisting of two hours per week. Activities are designed to supplement lecture materials in GISC 4470. Computer exercises are used to integrate statistical methods with Geographic Information Systems.
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3.00 Credits
This course covers advance geospatial modeling for solving real world problems. Instruction will focus on the concepts of data modeling statistical multivariate approach) and artificial neural networks for developing relationships between geospatial data and real world environmental phenomena. Students will learn how to develop geospatial models in ArcGIS to solve complex environmental problems. Other concepts include geospatial data management, such as understanding data relationships, methods of trend exploration in the data, data visualization and structure analysis through data mining.
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3.00 Credits
This course covers advanced image processing techniques and their application to solving real world environmental problems. These algorithms include noise modeling, filtering, geometric transformations, wavelets and multi-resolution processing, boundary extraction, region filling, thinning, thickening, pruning, region growing, self-organizing map and fuzzy c-means clustering. This course will also include LIDAR, RADAR, Sensor Fusion, sub-pixel classification and decision tree analysis. Students will also learn hands on techniques for spectral signature measurement and their application to classification techniques. Students will also be introduced to the basics of medical and nano-technology imaging.
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3.00 Credits
This course will focus on developing scripts to automate geoprocessing tasks and enhance productivity in the ArcGIS environment. Students will be introduced to various scripting languages with a focus on Python and Visual Basic for Applications. Exercises will be based on real-world scenarios with an emphasis on building working applications and deliverables. Students are expected to be proficient in ArcGIS and Windows XP. No prior programming experience is required.
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4.00 Credits
This capstone course in Environmental Spatial Analysis will provide practical experience in watershed characterization and management. Students will apply chemical, biological and other scientific principles in conducting an assessment of a predefined watershed. Using standard methods established by federal, state and local agencies, students will collect and analyze samples. Geospatial technology will be used to integrate this data and generate a comprehensive watershed assessment.
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4.00 Credits
This course will focus on imparting advanced knowledge in geographic information science (GISC) for making decisions on public policy, public safety, environmental management, and rural and urban infrastructure management, etc. This course aims to provide students with the appropriate skills to employ GIS effectively in social science applications with several pertinent examples. It considers GIS and its spatial processes involved in the social sciences; such as societal involvement, education, environmental management, public policy, public safety, and health organization, etc. Students will use their previous skills learned in GIS, environmental studies, and social sciences courses to analyze and solve spatial problems associated with these said fields. They will be introduced to model building (in ArcGIS Model Builder) for spatial modeling, decision support system development, and project development and implementation as part of the course. Students might have the opportunity to learn basic Visual Basic application as part of developing a simple environmental decision support program. Exercises will be based on real-world scenarios with an emphasis on building working applications and deliverables. Students are expected to be computer literate.
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1.00 Credits
Special interest courses, which may not be transferable, are offered in response to student interest and demand. This is an applied course that addresses special topics in Geographic Information Systems (GIS) technology. The course concentrates on a specific GIS project relevant to the student’s major. Issues covered include project planning, management, and evaluation. Course proceeds by arrangement with instructor. A written proposal for the study filed with the supervising instructor is required.
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2.00 Credits
Special interest courses, which may not be transferable, are offered in response to student interest and demand. This is an applied course that addresses special topics in Geographic Information Systems (GIS) technology. The course concentrates on a specific GIS project relevant to the student’s major. Issues covered include project planning, management, and evaluation. Course proceeds by arrangement with instructor. A written proposal for the study filed with the supervising instructor is required.
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3.00 Credits
Special interest courses, which may not be transferable, are offered in response to student interest and demand. This is an applied course that addresses special topics in Geographic Information Systems (GIS) technology. The course concentrates on a specific GIS project relevant to the student’s major. Issues covered include project planning, management, and evaluation. Course proceeds by arrangement with instructor. A written proposal for the study filed with the supervising instructor is required.
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