2020: Topological Data Analysis [MATH891.006]


Course title Topological Data Analysis
Course Offering: MATH 891.006
Instructors: Wesley Hamilton, J.S. Marron
Course description: This BD2K module is an introduction to Topological Data Analysis (TDA), with a focus on practical applications. As a tool, TDA has proven to be effective at quantifying topological and geometric structure in data, and has been used as a supplement to traditional clustering techniques. Moreover, advances in both computational power and algorithms for computing topological information make TDA more applicable than ever before.
Again, the focus of this module will be on using TDA in practice and interpreting barcodes as describing intrinsic topological features of data sets. Programming experience is not necessary.
 Prerequisites  Current enrollment in graduate program of any participating Department in the NIH T32 BD2K graduate training program
Course Dates 01/29, 02/05, 02/12, 02/19, 02/26, 03/04, 03/18
Meeting pattern Wednesdays, 5:00-7:15pm
Location: PH 332
Syllabus: bd2k_TDA_syllabus

Course Web Site:   https://wham.web.unc.edu/bd2k-module-tda/