BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Mathematics - ECPv5.16.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Department of Mathematics
X-ORIGINAL-URL:https://math.unc.edu
X-WR-CALDESC:Events for Department of Mathematics
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191104T160000
DTEND;TZID=America/New_York:20191104T170000
DTSTAMP:20220817T061512
CREATED:20191101T211929Z
LAST-MODIFIED:20191101T211929Z
UID:5866-1572883200-1572886800@math.unc.edu
SUMMARY:Wesley Hamilton - GMA Seminar
DESCRIPTION:Title: Homology: Redux \nAbstract: Topological Data Analysis (TDA) is a relatively recent area of applied topology\, in which tools from algebraic topology are used to understand the topology of data sets. The TDA pipeline is\, in short\, the following: a simplicial complex (to be defined) is associated to the data set\, the persistent homology (to be defined) is computed\, and the collection of birth/death times of topological features/the barcode (to be defined) is reported. During this talk\, we’ll define all of the terms above and see a few instances of TDA in action. In particular\, we’ll see a number of different ways for constructing simplicial complexes (specialized to different types of data)\, how to interpret barcodes\, and finally some results on the statistics of barcodes. No previous TDA or algebraic topology experience is required.
URL:https://math.unc.edu/event/wesley-hamilton-gma-seminar/
LOCATION:Phillips 381
CATEGORIES:GMA Seminar
END:VEVENT
END:VCALENDAR