The annual RTG Big Data Research Schools are jointly organized by the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University and one Indian partner institution. A series of summer schools in three consecutive years (2018, 2019, 2020) at three different Indian partner institutions (one per year) is planned. The five-days schools are aimed at students with a background in scientific computing. The lectures and seminars in the school will be held by renowned experts, which provide unique opportunities to the students to hone their skills. On the other hand, they enable early networking and give the young scientists a chance to present their scientific results.

Topics of the summer schools will be defined from both methodology and application of large and big data science in bioscience applications. In compact course lecture series, international experts in the field will hold morning and afternoon classes to give a first concentrated introduction to specific research areas. The lectures will also be combined with practical applications, using state-of-the-art scientific software for modelling and solving sample applications.

2nd RTG Big Data Research Summer School at IIT Guwahati
Date to be announced

IIT Guwahati and Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University jointly organise the 2nd RTG Big Data Research Summer School 2020. The event will take place from March 24th – 27th, 2020 at one of the most prestigious institutes in in India — IIT Guwahati. The summer school is aimed at advanced master students and PhD students with a background in scientific computing and mathematics.

Renowned experts will hold lectures and seminars on up to date topics and state of the art methods in big data computing and mathematics. The speakers will be researchers predominately from India and Heidelberg University, Germany. Participating students will actively discuss with the experts, solve problems during workshop sessions and some will have the opportunity to present their own research. This provides unique opportunities to the students to hone their skills.


Partial differential equations with deal.II. A short course at IIT Kanpur
Prof. Guido Kanschat, IWR, Heidelberg University Prof. Asha Dond, IISER Thiruvananthapuram

February 29th – March 1st Compact Course March 2nd Advanced Course and further Applications

deal.II is a C++ program library targeted at the computational solution of partial differential equations using adaptive finite elements. It uses state-of-the-art programming techniques to offer a modern interface to the complex data structures and algorithms required. The main aim of deal.II is to enable rapid development of modern finite element codes, using for example adaptive meshes and a wide array of tool classes often used in finite element programs.
This class will introduce into using the finite element library deal.II in order to solve partial differential equations. It will cover basic topics from installing the library and adding support for auxiliary software to setting up a mesh. It will advance to defining various finite element spaces on such a mesh and the implementation of bilinear forms. We will cover the implementation of discontinuous Galerkin methods as well as multigrid solvers and preconditioners. The capabilities of deal.II for multithreading and message passing paralelization will be introduced.

The course discusses applications like potential problems, linear and nonlinear elasticity, incompressible flow, porous media flow, Maxwell eigenvalue problems, and possibly applications contributed by the audience.

Participants should have a basic general knowledge of the finite element method as well as of C++. This one-day intensive course will offer a first insight into the programme and aims at advanced master students and PhD students.

1st RTG Big Data Research Summer School at the University of Allahabad
April 1st – 5th, 2019