Difference between revisions of "Activities"
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=== Summer Term 2019 === | === Summer Term 2019 === | ||
| − | '''Lecture''' - ''[https://www.mathi.uni-heidelberg.de/~aott/geodata.html Geometric Methods in Data Analysis]'' | + | '''Lecture''' - ''[https://www.mathi.uni-heidelberg.de/~aott/geodata.html Geometric Methods in Data Analysis]'' <br> |
| − | + | Tue 16:15 - 17:45, Mathematikon SR C <br> | |
| − | Tue 16:15 - 17:45, Mathematikon SR C | ||
| − | |||
Andreas Ott | Andreas Ott | ||
Revision as of 15:54, 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
09.05.2019 13h30 - 15h30, Conference Room
Unsupervised Learning: A Brief Introduction - Christoph Schnörr
Introduction to Persistent Homology - Andreas Ott
Lectures and Seminars
Summer Term 2019
Lecture - Geometric Methods in Data Analysis
Tue 16:15 - 17:45, Mathematikon SR C
Andreas Ott
Seminar - High-dimensional geometry and probability with view towards applications in data science
June 28 & July 5 (all day), Mathematikon SR 4
Jan Swoboda
Seminar - Topological Data Analysis and Persistent Homology
TBA - TBA
Johannes Krebs
Conferences, Workshops, and Summer/Winter Schools
2019
Workshop - Geometry, Topology, and Computation
June 12 - 14, Heidelberg (Mathematikon)
Peter Albers, Roman Sauer (Karlsruhe), Anna Wienhard
Summer School - Persistent Homology and Barcodes
Peter Albers, Leonid Polterovich (Tel Aviv), Kai Zehmisch (Gießen)
August 5-9, JLU Gießen - Schloß Rauischholzhausen