Geometry of Data

4 credits

This course will cover graph-based data modeling, analysis, and representation. Topics include spectral graph theory, spectral clustering, kernel-based manifold learning, dimensionality reduction and visualization, multiway data analysis, graph signal processing, graph neural networks. Prerequisites: DSC 210 or ECE 269 and DSC 212 and DSC 240. Restricted to students within the DSC-MS-001 and DSC-PhD-001 major.