Department of Mathematics - about us
What is the essence of a mathematics department? If you ask this question, a quick answer would be: "…solving deep theoretical questions". In our case I would add a few more core aspects, such as isolating the problems, bridging to the real world, connecting with others and communication.
Connecting research and practice
As one of Europe’s leading institutes at the interface of mathematics with applications and other sciences, one of our core missions is to build a bridge between theoretical understanding and practical applications - and to use this bridge in both directions. Concrete problems from engineering, finance, life sciences, data analysis, and other applied or scientific fields often lead directly into the heart of challenging mathematical problems. We try to isolate and solve them! On the other hand, a theoretical understanding of the underlying structures often opens up new possibilities for the applications. We try to communicate the solutions to those places where they are needed!
A university consists of research and of teaching, and ideally connects both. Our thorough interest in the theory behind applications is reflected by our teaching profile. We offer a general mathematics Bachelor and Masters education, as well as several Master degrees with a specific applied profile. On top of that, we also house the elite degree programs TopMath and FIM (Finance and Information Management).
Treating students of all levels (Bachelor, Master, PhD) as individuals with different skill profiles, and finding the best way to support and develop them, is one of our core missions in education. Working and learning at the TUM Department of Mathematics connects the best of two worlds: the inherent beauty of mathematics and the applied power of solid theory.
- 22. November 2018 15:00 – 16:00 Panu Lahti (Universität Augsburg): BV functions and Federer's characterization of sets of finite perimeter in metric spaces
- 22. November 2018 16:30 – 17:30 Karsten Urban (Universität Ulm): Reduced Basis Methods - Prospects and Challenges
- 26. November 2018 14:00 – 15:30 Arseniy Tsipenyuk: Variational Approach to Fourier Phase Retrieval
- 26. November 2018 15:00 – 16:15 Felix Voigtländer (KU): Approximation theoretic properties of deep ReLU neural networks
- 27. November 2018 16:30 – 17:30 Nicos Georgiou (University of Sussex): Last passage times in discontinuous environments.
- 27. November 2018 16:30 – 17:30 Caroline Lasser (TUM): tba