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Tutoring for prospective students

Pre-university students who

  • are  looking for a most promising career pattern
  •  like to make computers work for you and/or play virtual reality games
  • consider math as an attractive   approach to face problems -  through abstraction
  •  share the appeal of science as a method to find  general patterns behind  phenomena
  •  feel  motivated for contributing to the solution of  the major  problems of modern societies by means of  advanced  science and engineering methods
  • like to work in teams

are invited to  keep on reading the following:


Computer Simulation: a novel research method

In the old times, predictions from theories and models were limited by the very fact that only analytical methods were available to arrive at them.

This presented a prohibitive barrier to solve many common problems, like models with non-linear forces, as  in fluid or gas dynamics. Calculus also fails to cope with most  thermodynamical problems, like e.g. the all-important melting of ice into water. Another case of  failure is the computation of large molecules as in biology.

Over the past 2 decades, computers have become off-the-shelve commodities, bringing a revolution to our everyday lifes.  It is much less known, that highly parallel supercomputers (built from off-the-shelve components)  have made a tremendous impact on the progress at the frontiers of science and technology, in all fields of applications.

For only supercomputer simulations can help us to

  • understand the  detailed properties of macroscopic systems from the interactions among  its basic constituents or
  • enable us to design quantum systems with desired properties, such as molecules for drugs or novel nano-materials for electronics.

Simulations of systems with huge numbers of constituents are statistical and need very clever experimentation and research on efficient stochastic methods (similar to detector development in the real experimental laboratory). The endeavor is to develop more powerful algorithms for best exploiting current and future hardware. It turns out, that  the art of  large-scale simulations presents both, a great challenge and and a great opportunity to the next generation of scientists and engineers.

From the above it is clear that in the field of simulation sciences algorithm research and best implementation are of vital importance to understand complex systems in many fields of applications.

Today, we find in the big European und US computer center supercomputing systems with peak speed of 1015   floating  point operations per second, which are capable to  conduct first simulations of the properties of liquids (like water). Exaflop/s supercomputers, expected to be in place by 2020, offer the opportuniy to reach a full understanding of the behavior of solvents in the environmental setting.


Computer Simulation: an interdisciplinary approach

Supercomputers of tomorrow will have increasingly  complex architecture. Advanced computing will therefore need more sophistication on all levels: modeling, algortihms and implementation. So it becomes obvious that interdisciplinary teams of application scientists (physicsts, chemists, meterologists, engineers etc), computer scientists, and mathematicians are required to achieve forefront results in advanced computer simulations. This makes CS&E a very attractive setting, offering a broad bandwidth of careers patterns for young talents.


Educational patterns for becoming a Computational Scientist/Engineer

Given the interdisciplinary structure of the field, there are different ways to become a computational scientist or engineer, namely  through

a)  regular bachelor and master studies in an application domain (Physics, Chemistry, etc), Mathematics or Computer Science with a subsequent PhD project within a specific CS&E research group

b) bachelor studies in the application domain, supplemented by a direct Master Study Program in CS&E. Such Master programs have emerged in a number of Universities around the world, which carry active research groups in CS&E.

c)   CS&E studies within a bachelor program.

Evidently, option a) puts most emphasis on the education in the application domain, while option b) considerably enhances the interdisciplinary skills of the student during the graduate study period. It should be noted that the CS&S Master Study programs are mostly application driven: one should check in detail which particular application areas are offered. In some cases, they are driven by computational mathematics or computer science.

Before choosing a particular program in CS&E the student is advised to have a careful look at the on-site CS&E research groups at the universities in order to pick out the application domain he/she prefers.


The HPC-Education Portal intends to supportss you in your decision making process by providing world-wide information on CS&E Programs and Projects.

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