Data & Information

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.

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

Related research groups

Research News

To overview

TiPES: When does the climate tip?

1.5 or 2 degrees - how much global warming is too much? Clarifying this and defining tipping points is the aim of the project Tipping Points in the Earth System (TiPES). Prof. Christian Kühn is on board of the interdisciplinary research team.

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Big Data - abstraktes Symbolbild: Decke mit Lichtpunkten

Headquarters for applied AI in Munich

Using data resources concretely with the help of artificial intelligence: That is the goal of the Helmholtz Artificial Intelligence Cooperation Unit (HAICU). Head of the research network is Prof. Fabian Theis.

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Single-cell RNA-seq denoising using a deep count autoencoder: DCA denoises scRNA-seq data, Fig. 1 aus Eraslan, G.; Simon, L.M.; Theis F. et al. (2019): Single cell RNA-seq denoising using a deep count autoencoder. Nature Communications.

AI against errors

Using single-cell analysis, researchers study the behavior of cells. But the method is prone to errors. A deep learning algorithm can now detect these errors.

Be my Valentine - Herz mit Formel: Mit dem Raycaster "Süss" kann man die algebraische Formel für ein Herz (x²+((1+b)y)²+z²-1)³-x²z³-ay²z³=0 anpassen.

Be my Valentine! Say it with Mathematics

Send Valentine greetings with a customizable algebraic equation. With the widget "Suess" by Aaron Montag and IMAGINARY, you can see what (x²+((1+b)y)²+z²-1)³-x²z³-ay²z³=0 can look like.

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Mekong: Statistisches Modell des Wasserstandes zur Bestimmung des Fließverhaltens

Statistical model of the Mekong water level

When the Mekong overflows its banks, millions of people are threatened by flooding. With a statistical model by Prof. Klüppelberg and a research team, the water level can be predicted.

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