DIGA635 Data Modeling and Forecasting with Geo-AI (Artificial Intelligence) (3 cr.)

This course promotes problem solving, data modeling, and critical thinking related to data intelligence, data classifications, and predictive analysis. The course explores designing conceptual models to effectively explore and forecast data unique to spatial and other analytical challenges. The course addresses challenges in various disciplines. Problem-solving approaches are accomplished using an array of technology and software options.

Upon completion of the course, students are expected to be able to do the following:

1. Apply principles, theories, and concepts to various data analyses.
2. Develop programming scripts and interfaces.
3. Utilize a variety of diverse data, software, and technology for visual and data intelligence.
4. Assess data, designs, and outcomes for decision making.