GEOG 4553

(3 Credits) 3 Lecture hours, 3 Laboratory hours (formerly GEOG 3553) This course is designed to develop advanced knowledge and skills in spatial data science techniques and tools that will be applied to complex real-world issues through GIS mapping, analysis, and modeling. Experiential learning will introduce students to 3D and 4D mapping techniques, multitemporal visualization, machine learning, and AI applications. Students will undertake authentic research projects with a community service learning partner, building hands-on experience with the geospatial project management life cycle.