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Geography: Information Science

GIS - Geography: Information Science

GIS 2030
Fundamentals of Remote Sensing

(Offered fall). This course introduces basic concepts and fundamentals of remote sensing, image processing, and the global positioning system (GPS). The principles and processes involved in air-photo interpretation will be reviewed and examined. Image processing techniques will be reviewed from practical and mathematical points of view. The course is intended to provide the student with the background information necessary to successfully use remotely sensed imagery and GPS in conjunction with GIS technology.

Credit hours: 3Lecture hours: 3
GIS 2030C
Fundamentals of Remote Sensing

(Offered fall). This course introduces basic concepts and fundamentals of remote sensing, data processing, and the global positioning system (GPS). The principles and processes of orthophotography, LiDAR, sonar, thermography, and radio direction finding/analysis will be reviewed and examined. Additionally, students will be trained to use GIS tools to perform object and pixel-based recognition, and perform stockpile volume/mass analysis.

Credit hours: 3Lecture hours: 2Lab hours: 2
GIS 2040
Introduction to Geographic Information Systems

(Offered spring). This course teaches fundamental concepts and techniques of geographic information systems (GIS). It covers basic concepts such as map projections, spatial data models, relational databases, spatial analysis, and visualization of spatially distributed data and phenomena. The applications of GIS are presented. Future issues for GIS and state-of-the-art technology are also discussed.

Credit hours: 3Lecture hours: 3
GIS 2040C
Introduction to Geographic Information Systems

(Offered spring). This course teaches fundamental concepts and techniques of geographic information systems (GIS). It covers basic concepts such as basic geographic and cartographic concepts, GIS data accessibility, spatial data structures, basic spatial relationship analysis, and visualization of spatially distributed data and phenomena to solve practical problems.

Credit hours: 3Lecture hours: 2Lab hours: 2
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