Aimed at: Bachelor and masters students (of mathematics, computer science, physics, etc)
Background: A knowledge of linear algebra is sufficient. The course does not require any previous knowledge of topology or statistics.
1. Geometric and Topological Inference by Boissonnat and Chazal and Yvinec
2. Topology and data by Gunnar Carlsson
3. Principal Component Analysis of Persistent Homology Rank Functions by Robins and Turner