Introduction to Topological Data Analysis

Catalog description

Credits 3. 3 Lecture Hours. Topological Data Analysis with a view toward persistent homology of point clouds for applications to data analysis; homology of simplicial complexes over a field; functorial clustering methods; persistent homology; real-world applications to data analysis. Prerequisites: MATH 304 , MATH 309 , MATH 311 , MATH 323 , or equivalent; admission to master of science in data science.