In this twelve-hour workshop the participant will be introduced to the main techniques utilized in topological data analysis and their implementation provided by the python package scikit-tda. Introductions to the Mapper algorithm and persistent homology will be complemented by respective hands-on tutorial sessions. The workshop will conclude with an exploratory project of these methods on ‘real data’, which may be provided by the participants.
The course takes place in the CIP-Pool 3/103, Mathematikon INF 205, Heidelberg. There are up to 20 seats for on-site participation, which will be distributed in advance.
Lectures and tutorials will be accessible on Zoom for online participants.
Registration Deadline: October 11th, 2020
Registration is closed
Or Download here: Schedule
Please note the following information regarding on-site participation:
- On-site participants will need to provide personal data for contact tracking at the beginning of each day.
- You will need to wear a mask at all times
(CoronaVO Studienbetrieb und Kunst § 3, Absatz 1, Nummer 4 )
- Since we will need to regularly ventilate the room, you might want to bring a sweater.
Material and Exercises
You can find some example code for the exercises of the first two days here
Michael Bleher, Maximilian Schmahl, Daniel Spitz