Spatiotemporal Modeling and Simulation of Biological Systems

About

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 Center for Systems Biology Dresden (CSBD), has provided a glimpse into this world.

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 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).

Course leader

Prof. Dr. Ivo Sbalzarini (Technische Universität Dresden, Max Planck Institute of Molecular Cell Biology & Genetics, Center for Systems Biology Dresden) Dr. Florian Jug (Max Planck Institute of Molecular Cell Biology & Genetics, Center for Systems Biolog

Target group

Master & Diploma-level Students in the fields of Computer Science, Physics, Engineering, Mathematics, and related areas.

Course aim

To introduce concepts of spatiotemporal modeling and computer simulations of biological systems. To explore biological applications for students with background in computer science, physics, and mathematics.

Fee info