Activities

The EP Mathematics and Data organizes a lecture series featuring talks on foundational ideas, as well as exciting novelties in the field of topological and geometrical data analysis.

Furthermore, there are a number of lectures, seminars and workshops - at Heidelberg University and beyond - that are loosely related to the EP Mathematics and Data.

Lecture Series: Mathematics and Data

The lecture series venue is the Mathematikon.

Date	Time Location	Topic
09.05.2019	13h30 - 15h30 Conference Room (5/104)	Unsupervised Learning: A Brief Introduction - Christoph Schnörr Introduction to Persistent Homology - Andreas Ott
27.05.2019	11h00 - 13h00 SR C	The Mapper Algorithm - Fabian Klos Morse theory and their persistence modules - Peter Albers

Lectures and Seminars

Summer Term 2019

Lectures

Geometric Methods in Data Analysis
Tue 16:15 - 17:45, Mathematikon SR C
Andreas Ott

Seminars

High-dimensional geometry and probability with view towards applications in data science
June 28 & July 5 (all day), Mathematikon SR 4
Jan Swoboda

Topological Data Analysis and Persistent Homology
June 25 and June 26, precise times TBA, Mathematikon 4/200 on June 25 and 4/414 on June 26
Johannes Krebs

Conferences, Workshops, and Summer/Winter Schools

2019

Workshops

Geometry, Topology, and Computation
June 12 - 14, Heidelberg (Mathematikon)
Peter Albers, Roman Sauer (Karlsruhe), Anna Wienhard

Summer Schools

Persistent Homology and Barcodes
Peter Albers, Leonid Polterovich (Tel Aviv), Kai Zehmisch (Gießen)
August 5-9, JLU Gießen - Schloß Rauischholzhausen