PGIST - Courses

PGIST Courses

Course Descriptions
GIST601: Introduction to Geographic Information Systems and Technology I

This course combines an overview of the general principles of geographic information science and its relation to the nature and analytical use of spatial information in GIS software and technology.  Students will apply the principles and science of GIST through a series of practical labs.

GIST602: Introduction to Geographic Information Systems and Technology II

This course focuses on providing students with an introduction to spatial statistics, spatial analysis and their application in GIS software, and GIS programming.  Students will learn about descriptive spatial statistics, multivariate spatial statistics, and normality, how to analyze distribution, direction, orientation, clustering, spatial relationships and processes, and how to render analysis into cartographic form. GIS programming skills focus on calculating values needed for analyses, building models to perform repetitive tasks, and creating customized GIS interfaces.


GIST602A Content

GIST603: Advanced Geographic Information Systems and Technology I

This course addresses a range of urban and environmental issues in the natural and social sciences using geographic information systems technology. It emphasizes GIST-based problem-solving education, including project planning, spatial data sources and acquisition, data compilation, coding, analysis, representation, and presentation of results. As the focus is on problem-solving based learning, a majority of the work in this class focuses on hands-on activities.

GIST909: Master's Project in Geographic Information Systems Technology

The Master’s Project includes a formal report and presentation submitted in lieu of a Master’s Thesis and reflects what a student has learned from the MS-GIST program. This course focuses on addressing normative and/or scientific geographic problems, data capture, compilation and manipulation, and formulating methods and analysis to address the problem in a given timeline.