401-3680-67L  Persistent Homology and Topological Data Analysis

SemesterHerbstsemester 2017
DozierendeP. S. Jossen
Periodizitäteinmalige Veranstaltung
KommentarMaximale Teilnehmerzahl: 8

KurzbeschreibungWe study the fundamental tools of topological data analysis: Persistent homology, persistence modules and barcodes. Our goal is to read and understand parts of the paper "Principal Component Analysis of Persistent Homology..." by Vanessa Robins and Kate Turner (ArXiV 1507.01454v1).
LernzielTo get familiar with the basic concepts of topological data analysis and see some applications thereof.
LiteraturHerbert Edelsbrunner and John L. Harer: Computational Topology, An Introduction. AMS 2010
Voraussetzungen / BesonderesParticipants are supposed to be familiar with singular homology.