Artificial Intelligence for Geospatial Decisions. 3 credits, 3 contact hours

Catalog description

Prerequisites: Fundamental knowledge of statistics MATH 105 or equivalent and computer programming CS 106 or equivalent. Restrictions: Graduate Standing or Approval from the Course Instructor. Statistical learning theory with a focus on artificial intelligence (AI) for geospatial data. Two perspectives through machine learning include supervised and unsupervised learning of geospatial patterns. Course outcomes include knowledge and skills necessary to investigate patterns in geospatial data to support decision-making within the context of engineering and geoscience disciplines.