Graduate Studies in Spatial Informatics, Spatial Information Science and Engineering, and Geographic Information Systems
From mobile phone technologies to robotics, geographic informations systems (GIS), the Internet of Things (IOT), and sensor networks, most modern information systems are now highly dependent on location and spatial concepts for organizing and tracking data and information. While the terms are often used interchangeably, we use Spatial Informatics to designate the academic learning domain covering all spatial topics that extend primarily from a computing foundation. Spatial Information Science and Engineering is used to identify our research-based degrees that advance understanding in handling location and time in emerging information systems and applications. Geographic Information Systems is a domain focused on learning and applications in a popular and wide-spread software approach to handling location-based data.
The Spatial Informatics faculty group also serves as core teaching faculty in the closely related graduate programs in Information Systems and Data Science.
Learn more about our graduate programs in Spatial Informatics.
Professor Torsten Hahmann Using AI to Forecast Probable Courses of Flood Events
iLunch Talk (Oct 23): Fundamental Limits of Graph Convolutional Networks of Moderate Depth
iLunch Talk (Oct 16): Modelling Connectivity: An Alternative Approach to Neural Network Compression
Updated Friday Noon iLunch Schedule for Fall 2020