Heidelberg University

Geometric Methods in Data Analysis

Lecture course • Spring 2019

Mathematisches Institut • Universit├Ąt Heidelberg

Description: This course offers an introduction to basic concepts from computational geometry and topology (such as persistent homology), which have in recent years become important tools in data analysis. We will cover the underlying mathematical theory, study concrete examples from applications in the natural sciences, and do some computer programming in order to see how the theory works in practice.

Prerequisites: Basic linear algebra (Lineare Algebra I,II) and calculus (Analysis I,II)

Time: Tue 16:15 - 17:45

Classroom: Mathematikon INF 205 • Seminarraum C (ground floor)

Credit points: 4 (Spezialisierungsmodul MM33)

Lecturer: Andreas Ottaott@mathi.uni-heidelberg.de • Office: Mathematikon INF 205, room 03.329

Registration: For more information, and to access the course material, please sign up for this course through MaMpf. This requires an enrollment key which will be distributed in class.