The school (1.9. - 12.9.2008) will discuss the recent progress and challenges in biological and medical imaging. Cutting edge techniques using a wide range of imaging mechanisms will be put in the context of selected biomedical problems. In particular, multimodal and multiscale imaging methods as well as supporting technologies such as computer aided image analysis and modeling will be discussed.

Computational biology and bioinformatics aim at an understanding of living systems through computation. The seminar combines student presentations and current research project presentations to review the rapidly developing field from a computer science perspective. Areas: DNA sequence analysis, proteomics, optimization and bio-inspired computing, and systems modeling, simulation and analysis.

Computational biology and bioinformatics aim at an understanding of living systems through computation. The seminar combines student presentations and current research project presentations to review the rapidly developing field from a computer science perspective. Areas: DNA sequence analysis, proteomics, optimization and bio-inspired computing, and systems modeling, simulation and analysis.

Class participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory.

Class participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory.

Class participants study and make a 40 minute presentation (in English) on fundamental papers of Computational Science. A preliminary discussion of the talk (structure, content, methodology) with the responsible professor is required. The talk has to be given in a way that the other seminar participants can understand it and learn from it. Participation throughout the semester is mandatory.

Students will be presented an overview of computer organization anddesign. Using the assembly language MIPS the organization levels fromlogic gates to the data path are described. Additional topics fromtheoretical and practical computer science are Turing machines,information theory, computer networks and data bases.

This course teaches modeling techniques for spatially resolved systems. You will learn to account for the geometry of a system and for transport in space. After repetition of the basics from mathematics and physics, you will model processes such as diffusion, waves, and flow, and simulate them in the computer.

With the growing complexity of computer simulations and the availability of multi-core processors, parallel computing becomes important to all fields of science and technology. This course covers parallel high-performance computing on all levels: from the basics to high-level parallelism and grid computing. It is a hands-on course with practical programming exercises.