Computational methods are rapidly gaining importance in all fields of biology. Computational data analysis, modeling, and simulation are becoming as indispensable to the life sciences as mathematics is to physics. For five years, the Dresden Summer School in Systems Biology, jointly organized by the International Max Planck Research School for Cell, Developmental and Systems Biology and the CSBD, has provided a glimpse into this world. The Summer School is intended primarily for Master and Diploma students with a computational/quantitative background in Computer Science, Physics, Engineering, Mathematics, or related areas. For graduates of other disciplines, we assume Bachelor-level knowledge of mathematics and computer programming (independent proficiency in at least one programming language).
This school provides project-based research experience in a number of scientific fields at the intersection of biology and computer science. Whether you are interested in spatiotemporal modeling, bio-image analysis, virtual reality, machine learning, biomedical data science, or bioinformatics, you will gain insight into developing and applying new computational tools to answer biological questions. To keep up with the changing times, the course contents have been fully reconceived this year, involving the many directions in research pursued at the CSBD. The focus on biological systems is intended to allow participants to:
Transfer computational and theoretical knowledge to the life sciences
Identify and tackle challenges from big data to prediction in complex, multi-scale systems
Further develop their trans-disciplinary communication and learning skills
Formulate clear project and design data- and model-based approaches to them.
Get hands-on insight to emerging techniques from machine learning, artificial intelligence, visual computing, and scientific computing
Prof. Dr. Ivo F. Sbalzarini - CSBD, TUD & MPI-CBG; mosaic.mpi-cbg.de
Dr. Birgit Knepper-Nicolai - MPI-CBG; kneppermpi-cbg.de