Mathematics at TKK
The Department of Mathematics and Systems Analysis started in the beginning of year 2008. The department consists of the Institute of Mathematics and the Systems Analysis Laboratory.
The main tasks of TKK's mathematicians are to provide basic studies in mathematics for the Master of Science programmes at TKK, convey the latest advances in mathematical knowledge to the various fields of technology, and to perform scientific work and educate researchers in their own field. Our teaching covers the entire field of mathematics that is central to technology.
Talks
9.9. 14:15 Daniel Meyer (Helsinki University): Invariant Peano curves of expanding Thurston maps – room U322
13.9. 10:15 Prof. Esko Valkeila: Seminar on statistics kickoff – room U356
13.9. 16:15 Prof. Esko Valkeila: Seminar on stochastics kickoff – room U322
16.9. 14:15 Pekka Pankka (Helsinki University): Branched cover that was not there. – U322
Publications
- Lasse Leskelä, Philippe Robert, Florian Simatos: Interacting branching processes and linear file-sharing networks. Advances in Applied Probability 42(3), 2010.
- Riikka Kangaslampi, Alina Vdovina: Cocompact Actions on Hyberbolic Buildings. International Journal of Algebra and Computation 20(4), 2010.
- Kirsi Silius, Tuomas Miilumäki, Seppo Pohjolainen, Antti Rasila, Pekka Alestalo, Matti Harjula, Jarmo Malinen, Esko Valkeila: Perusteet kuntoon – apuneuvoja matematiikan opiskelun aloittamiseen. In Tuovi 7: Interaktiivinen tekniikka koulutuksessa 2009 -konferenssin tutkijatapaamisen artikkelit. Tampereen yliopisto, 2009.
- L. Harhanen, N. Hyvönen: Convex source support in half-plane. Inverse Problems and Imaging 4, 2010.
- Linda Blåfield, Helle Majander, Antti Rasila, Pekka Alestalo: Verkkotehtäviin pohjautuva arviointi matematiikan opetuksessa. In Tuovi 8: Interaktiivinen tekniikka koulutuksessa 2010 -konferenssin tutkijatapaamisen artikkelit. Tampereen yliopisto, 2010.
- Z.C. Xuan, T. Lassila, G. Rozza, A. Quarteroni: On computing upper and lower bounds on the outputs of linear elasticity problems approximated by the smoothed finite element method. Int. J. Numer. Methods Engrg. 83(2), 2010.