- Docente: Patrizio Frosini
- Credits: 6
- SSD: MAT/03
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Mathematics (cod. 5827)
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from Sep 27, 2022 to Dec 21, 2022
Learning outcomes
At the end of the course, the student knows the main theoretical results and techniques used in topological data analysis (e.g., persistent homology, Mapper), and some examples of their application to data comparison and machine intelligence.
Course contents
Introduction to Topological Data Analysis (TDA).
Topological groups. If X is a compact metric space, then the group Homeo(X) of all homeomorphisms of X is a topological group that acts continuously on C0(X, R). Definition of the natural pseudo-distance associated with a subgroup G of Homeo (X). Main properties of the natural pseudo-distance.
Some reminder of simplicial homology and singular homology. Persistent homology and persistence diagrams. Comparison of persistence diagrams via the bottleneck distance. Stability of persistence diagrams.
Multiparameter persistence. Main definitions in multiparameter persistence. The foliation method. Monodromy in multiparameter persistent homology.
Non-expansive equivariant operators (GENEOs). Definition of GENEO. Some theoretical results about GENEOs. Links between GENEOs and TDA.
Applications of Topological Data Analysis. Applications of persistent homology. Applications of group equivariant non-expansive operators.
Readings/Bibliography
H. Edelsbrunner and J.L. Harer, Computational topology: An introduction, American Mathematical Society, 2010.
Teaching methods
Lecture of traditional type.
Assessment methods
Written exercises and oral examination.
Teaching tools
See the web page http://www.dm.unibo.it/~frosini/DIDMAT.shtml
An informal and concise description of what TDA is can be found in many videos on Youtube (e.g., at this link: https://www.youtube.com/watch?v=nG_Veme7bqw )
Office hours
See the website of Patrizio Frosini