This is a more advanced GIS course in which students are required to complete a GIS research project, perhaps as part of their senior research. Lecture material for this course consists of advanced GIS techniques such as raster-based spatial analysis, suitability modeling, geostatistical modeling, image analysis, image classification, terrain analysis, and metadata development. There is a remote sensing component within the class in which student explore the basics of working with satellite imagery, aerial imagery, and digital elevation data. Students are expected to solve real world spatial problems using available GIS techniques and critical thinking. Students are introduced to additional software such as Erdas Imagine, Geospatial Modeling Environment (GME) (free), and FragStats (free). This course is designed to prepare students for a GIS career or graduate studies in GIS applications. Prerequisite Courses: Grade of C or better in MATH-113 or equivalent, and ENVS-356. 01/15/2020-05/07/2020 Lecture Monday, Wednesday, Friday 12:00PM - 12:50PM, Room to be Announced (more)...