Activities of the Faculty of Mathematics connected to computer science and data science

Research

Researchers at the Faculty of Mathematics with projects related to computer science and data science:

• Prof. Dr. Luise Blank: numerical linear algebra, numerical optimisation, optimal control
• Prof. Dr. Denis-Charles Cisinski: dependent type theory, homotopy type theory
• Prof. Dr. Georg Dolzmann: scientific computing (numerical methods for partial differential equations)
• Prof. Dr. Harald Garcke: scientific computing (efficient solution of PDEs from continuum mechanics), mathematical imaging (noise reduction, edge detection, segmentation, inpainting, cluster analysis), parameter learning via dimension reduction
• Prof. Dr. Clara L?h: computability of invariants in group theory and topology, proof assistants for the working mathematician

Projects involving methods from computer science and data science:

• Prof. Dr. Stefan Krauss: secondary analysis of the data of the COACTIV study via machine learning

Teaching

Participation in computer/data science related study programmes:

• BSc/MSc Computational Science
• Media Informatics: basic math courses
• IT courses (studienbegleitende IT-Ausbildung)

Individual courses:

• Numerical Mathematics (every year)
• Further courses at the department with connections to computer science/data science in the past three years:
  • Optimisation I/II
  • Machine learning from the mathematical viewpoint
  • Finite element method in continuum mechanics
  • Cryptography (seminars)
  • Cryptocurrencies (seminar)
  • Mathematical logic (seminars)
  • Introduction to graph theory and computability theory (seminars)