Detailed Course Information |
Spring 2023
May 13, 2025 |
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| DANA 310 - Spatial Data Analysis |
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This course explores the application of spatial data analytics to uncover hidden patterns and improve predictive modeling. Lectures cover principles of spatial data analytics as applied in the environmental sciences, geography, and social sciences, while hands-on exercises cover tools, skills, and techniques of spatial data analysis in Esri's ArcGIS software.
Prerequisites: GEOG 265 and GEOG 250 or MATH 181 or MATH 221 or Math 320 or permission of instructor
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Online Fixed Times (Synch), Online (Asynchronous), Immersive Learning, Undergraduate Research, Study Abroad Coll of Sciences & Humanities Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate Prerequisites: (Undergraduate level GEOG 265 Minimum Grade of D- and Undergraduate level GEOG 250 Minimum Grade of D-) or Undergraduate level MATH 181 Minimum Grade of D- or Undergraduate level MATH 221 Minimum Grade of D- or Undergraduate level MATH 320 Minimum Grade of D- |
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