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The faculty develops models and intelligent methods to make complex data and systems comprehensible, analysable and usable.

Modelling & Intelligent Systems

This profile area brings together the faculty’s strengths in mathematics and methodology. These include mathematical modelling, statistics, data analysis, machine learning, computational intelligence and data-driven decision support.

Above all, it brings together mathematics, computer science, medical informatics, bioinformatics, forensics and application-oriented data projects.

The faculty develops models and intelligent methods to make complex data and systems comprehensible, analysable and usable.

Research groups and institutes

This thematic area is linked to research groups and institutes that develop and apply data analysis, statistical, modelling or intelligent methods.

These include, amongst others:

Saxon Institute for Computational Intelligence and Machine Learning (SICIM)

Institute for Computational Intelligence and Intelligent Data Analysis e. V. (CIID)
Institute for Computer Science and Media in Research and Transfer (CSMRT)
Institute for Medical Informatics (IMI)
Research groups specialising in data analysis, statistics or modelling

Degree programmes

Applied Mathematics (B.Sc.)

Applied Mathematics for Network and Data Sciences (M.Sc.)

Applied Computer Science (B.Sc.)

Media Informatics and Interactive Entertainment (B.Sc.)

Media Informatics and Interactive Entertainment (M.Sc.)

Genomic Biotechnology (M.Sc.)

Biotechnology (B.Sc.)

General and Digital Forensic Science (B.Sc.)

Cybercrime/Cybersecurity (M.Sc.)

Projects / Knowledge Transfer Activities

Examples of projects and knowledge transfer activities within this thematic area include:

KIMed
, MofoSa – Mobility for Saxony
, Flowbile
, FloodEvac
, MiHUBx
, Ciao, Varroa
, wild bee health
, bioaerosol analysis
, metabarcoding / DNA sequencing
, data-driven mobility, medical, biological and forensic projects