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Texas A&M University

MATH 678 - Introduction to Topological Data Analysis - Summer 2024

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.


This course is not taught in Summer 2024.