Advanced Modelling in Systems Biology

2019-2020

Course Objective

To extend modelling techniques learnt in Basic models of biological
networks and to get acquainted with more advanced aspects of modelling
biological systems

Course Content

In this course we will assume knowledge of Basic models of biological
networks. We will go deeper into important issues in modelling
biological systems. Issues that will be discussed are model validation
(parameter estimation, experimental design), dynamic behaviour
(instability, multistability), robustness and sensitivity analysis, more
advanced Metabolic Control Analysis and stochastic modelling. After this
course, students should be able to make a model, evaluate its dynamic
behaviour and explore the structure and parameters of the model. This
should provide enough background for students to apply modelling in
their own research.

Teaching Methods

Lectures, self-study, computer practical work, computer modelling
tutorials

Method of Assessment

Results of computer assignments, written exams

Literature

A course syllabus with recent reviews and papers presented by the
lecturers and guest researchers (max. 15 euros)

General Information

Course Code X_418155
Credits 6 EC
Period P6
Course Level 600
Language of Tuition English
Faculty Faculty of Science
Course Coordinator prof. dr. F.J. Bruggeman
Examiner prof. dr. F.J. Bruggeman
Teaching Staff prof. dr. F.J. Bruggeman

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Seminar, Lecture, Computer lab
Target audiences

This course is also available as: