DATA 670 - Photogrammetric & Spatial Data in Parallel Environments

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This course aims to provide students with a comprehensive understanding of the core concepts, principles, and practices in photogrammetric and spatial data analysis. The course consists of two primary components. The first component will focus on theoretical readings in GIS, Remote Sensing, and Spatial Statistics, where students will explore the conceptual foundations of these fields and analyze their intersections. The second component will provide hands-on training in implementing spatial data analytics in High-Performance Computing (HPC) environments. Students will gain practical experience in developing, testing, and deploying large-scale spatial analysis applications in parallel computing architectures. By the end of the course, students will have a strong foundation in the key theoretical and practical aspects of photogrammetry and spatial data analysis. Cross-listed with DATA 570