BioSB Course: Quantitative and Predictive Modelling

On June 22-26 2015, BioSB organises the first edition of the course Quantitative and Predictive Modelling. The main theme of the Quantitative and Predictive Modelling course is how to describe the dynamic behaviour of biological systems and integrate experimental data. Concepts of modelling are introduced via a great variety of examples taken from diverse practices. The emphasis is on providing an overview of modelling approaches rather than an in-depth treatment of a few techniques. After classification of biological systems (metabolic, regulatory, signalling, population, multi-scale, statistical models), the concepts of top-down versus bottom-up modelling will be introduced, with emphasis on bottom-up approaches. Parameter estimation is an important modelling tool and will receive adequate attention. In the course Matlab will be used as software tool for the practicals. Participants not familiar with Matlab will get a short introduction.

This course is primarily targeted at academic researchers such as PhD students and Postdocs in Life Sciences, Bioinformatics, Systems Biology or Biomedical Engineering. Participants from private sector are also welcome. Participants are expected to have some experience in modelling with differential equations or to have followed Introductory courses from the BiosB Course Portfolio, e.g. E-course modelling , E-course calculus, Discovering Systems Biology Principles or Applications for Systems Biology and Bioinformatics in the Medical Sciences. The course will start with a session to refresh the basic elements of modelling with differential equations.

This course is part of the Education Programme of BioSB, the Netherlands Bioinformatics and Systems Biology Research School, which offers training and education for in bioinformatics and systems biology.

More information about BioSB can be found at www.biosb.nl.

Date 22-26 June, 2015
Location Wageningen
Course Coordinators Jaap Molenaar (WUR), Natal van Riel (TUE)
Website Website link
Registration Website link