[BBC] BioSB Course Quantitative and Predictive Modelling, 26-30 June 2017 in Wageningen

[Femke Francissen]

BioSB Course Quantitative and Predictive Modelling

Date:  26-30 June, 2017

Location: Wageningen

Course Coordinators: Natal van Riel (TUE) & Jaap Molenaar (WUR)

Website:
http://biosb.nl/education/course-portfolio-2/course-quantitative-and-predictive-modelling/

Registration:
http://biosb.nl/education/course-portfolio-2/course-quantitative-and-predictive-modelling/enrollment-quantitative-and-predictive-modelling-course/

Please note that this course is free of charge for PhDs who are or
become a member
of the  BioSB research school
<http://biosb.nl/about/members/biosb-membership-information/>.

Description

On June 26-30 2017,  BioSB organises the second edition of the course
Quantitative and Predictive Modelling (QPM). In this course the
participants learn how to describe the dynamic behaviour of biological
systems and to integrate experimental data. Concepts of modelling in terms
of differential equations are introduced via a great variety of case
studies taken from diverse practices. The course offers a math refresher to
help those participants who are not (yet) involved in modelling on a daily
basis. The emphasis is on providing an introduction into modelling
approaches rather than an in-depth treatment of a few techniques and aims
as such at a broad audience. The course is a mixture of theory sessions and
computer practicals. During the practicals most of the time Matlab will be
used. Participants not acquainted with Matlab will get an introduction. The
course has to be completed with assignments in the form of practical
exercises as homework afterwards.

Target audience and learning objectives

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 the private sector are also
welcome. Participants are expected to have some experience in modelling
with differential equations.

The students will be provided with a theoretical basis, a variety of
methods and a computational hands-on experience to handle differential
equation modelling, parameter estimation and uncertainty analysis. In the
course the students will learn:

   -

   How to set-up a dynamic model to represent biological networks using
   different interaction mechanisms
   -

   To implement, simulate and analyse dynamic network models in different
   software tools
   -

   To understand the common ground and the differences for applications in
   metabolic, regulatory, signalling, population and multi-scale biological
   processes
   -

   To integrate experimental data in modelling, estimate model parameters
   and assess the accuracy of parameter estimates and model predictions

This course is part of the Education Programme of BioSB
<http://biosb.nl/education/course-portfolio-2/>, 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.

Beste regards,

Femke Francissen
*​*
*​*
*Femke Francissen*
Community manager BioSB

BioSB Research School
Visiting address: Geert Grooteplein 28, route 260, 6525 GA Nijmegen
Postal address: P.O. box 9101, route 260, 6500 HB Nijmegen

E-mail: femke.francissen at biosb.nl
Mobile: +31 6 17 90 4888
Skype: femke.francissen
Website: www.biosb.nl
LinkedIn link <http://nl.linkedin.com/in/femkefrancissen>
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