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Revision as of 14:24, 5 June 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
The lecture series is held at the Mathematikon, unless stated otherwise. There is also a selection of slides and notes.
| 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