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== Lectures and Seminars == | == Lectures and Seminars == | ||
Revision as of 16:01, 9 May 2019
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
| Date | Time & Location | Topic |
|---|---|---|
| 09.05.2019 | 13h30 - 15h30 | Unsupervised Learning: A Brief Introduction - Christoph Schnörr
Introduction to Persistent Homology - Andreas Ott |
| TBA | TBA | The Mapper Algorithm - TBA
TBA - TBA |
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
TBA - TBA
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