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Course Descriptions

Course No.NameDescription


Principles of GIS

A rigorous study of fundamental GIS principles, including the nature of spatial data, vector and raster data models, and key GIS analysis operations.


Applications of Remotely Sensed Data

Covers the use of remotely sensed information in a geographic information system environment. Emphasis is placed on understanding different data sources, tools, and techniques used in remote sensing.


Spatial Analysis and Geostatistics

Designed to make the student familiar with the analysis and statistic tools used by geographers. Covers the fundamental aspects of geostatistics that are used in research and business environments.


Cartographic Design and Visualization

A cartography course that introduces fundamental cartographic theory and emphasizes effective visual thinking and visual communication with Geographic Information Systems.  Advanced techniques used for geographic visualization, animation, and web publishing are also introduced.

Prerequisite: Geog 32-545 or permission of instructor.


GIScience Research Seminar

A research writing seminar for new GIScience graduate students. Students will develop awareness of various research methods, as well as their own GIScience research interests. In addition, this course helps students become familiar with writing, thinking, and criticizing at the graduate school level.


Special Topics in Geographic Information Science

This course will cover special topics in the field that are not dealt with in regular coursework. This may be a new area outside of the current GIScience curriculum or further study in more detail of other coursework. Individual course offerings and descriptions will vary.


GIS Theory and Research

Complex applications of GISciences (GIS) use advanced data models and analytical methods. This course provides student in-depth examination the fundamental data structure, algorithm and theories behind the user-friendly interface of GISystems. Innovative research topics of GIScience are also been investigated in order to assist the students to define their own research topics.

Prerequisite: Geog 32-545 or equivalent.


Raster-based GIS and Modeling

Covers advanced topics in GIS using the raster data structure. Emphasis is placed on the use of raster-based data for spatial modeling applications.

Prerequisite: Geog 32-545 or equivalent.


Geoprocessing with Python

A course for developing programming skills for geoprocessing in ArcGIS using the Python scripting language. Python fundamentals and the use of ArcGIS geoprocessing functions and methods are the primary focus of this course. A brief overview of Model Builder for developing geoprocesses is also discussed. No previous programming experience is required.

Prerequisite: Geog 32-545 or equivalent.


Internet GIS

This course provides concepts and hands-on experience with state-of-the art technologies for delivering GIS services and applications on the Internet. Students will learn how to author and publish effective GIS services using ArcGIS Server and Google Maps API, use GIS services directly, and develop web applications. Experience in web programming is helpful but not required. Straightforward examples are provided throughout the course.

Prerequisite: Geog 32-545 or equivalent.


GIS Database Design

A comprehensive study of the process of GIS database design, including user needs assessment and conceptual, logical, and physical database design. Emphasizes design of the spatial component of GIS data.

Prerequisite: Geog 32-545 or equivalent.


GIS Project Management

A study of GIS project management at several levels, from organization planning for GIS implementation to the management of individual GIS projects.

Prerequisite: Geog 32-545 or equivalent.


Trends in GIS

A virtual seminar addressing the history, applications, and latest trends in Geographic Information Systems and Science.

Prerequisite: Geog 32-545 or equivalent.


Digital Image Processing

An advanced remote sensing course focused on image processing techniques.  In this course, students will further their understanding of the concepts learned in the introductory remote sensing course (Geog 32-543) and explore various image processing techniques to extract information from remotely sensed images.

Prerequisite: Geog 32-543 or permission of instructor.


GIS Research Paper

Required for the non-thesis option of the M.S. degree. Student completes a GIScience research paper for the non-thesis option's research component.  Registration for this course requires approval of the course instructor.


GIS Thesis

Required for the thesis option of the M.S. degree. Registration for thesis credit requires the approval of the graduate advisor.