Data & Information
maxpixel.net
Whether in logistics, medicine or mobile communications - many applications give rise to data sets of increasing size. In order to analyze and use that amount of data efficiently, new mathematical tools are required.
At the TUM Department of Mathematics, we develop and research methods for data processing and extract relevant information, specifically addressing the challenges of large data sets. Mathematics in Data Science enables the creation of forecasts, the conservation of resources and the reduction of costs in many areas of application.
Research areas
Different groups in our Department study Data & Information from the viewpoints of
- optimization,
- probability and statistics,
- applied harmonic analysis,
- computational topology, and
- quantum information theory.
Professors
- Ulrich Bauer
- Folkmar Bornemann
- Claudia Czado
- Mathias Drton
- Massimo Fornasier
- Blanka Horvath
- Claudia Klüppelberg
- Robert König
- Felix Krahmer
- Fabian Theis
- Michael Ulbrich
- Elisabeth Ullmann
- Michael Wolf
- Johannes Zimmer
Related research groups
Research News
Interview with ISAM Supervisor Felix Brandt
The members of our Graduate Centre ISAM are proud that Professor Felix Brandt won the TUM Supervisory Award 2021. In this interview, he tells what he considers important when supervising students.
AdONE secures second funding period
The German Research Foundation has awarded another 3 Million Euros to the Research Training Group Advanced Optimization in a Networked Economy to support the next generation of scientists.
Call for proposals for IGSSE
The International Graduate School of Science and Engineering (IGSSE) calls for proposals for collaborative, interdisciplinary research projects with international partners.
Global Categorical Symmetries
Unlock the power of symmetry in its broadest form: This is the aim of the Simons Collaboration on Global Categorical Symmetries. Professor Claudia Scheimbauer is one of the principal investigators.