|Teaching method||Contact hours|
|Course coordinator(s)||dr. E Saccenti|
|Lecturer(s)||dr. E Saccenti|
|dr. ADJ van Dijk|
|dr. RW Smith|
|Examiner(s)||dr. M Suarez Diez|
Language of instruction:
Assumed knowledge on:
BCT-20306 Modelling Dynamic Systems, SSB-30306 Molecular Systems Biology
Mathematical modelling is becoming an increasingly valuable tool for molecular cell biology. Consequently, it is important for life scientists to have a background in the relevant mathematical techniques, so that they can participate in the construction, analysis, and critique of available models. The course will cover different topics in Systems and Synthetic Biology such as Modelling of chemical reaction networks, Biochemical kinetics, Analysis of dynamic mathematical models, Metabolic networks and Gene regulatory networks. The course alternates lectures on theoretical aspects of Systems Biology with exercises and computer/computational practicals where the students will develop programming and analysis skills by modeling and investigating biological systems.
The scripting language used during the course is Matlab: introductions and scripts will be provided and no previous Matlab experience is required.
After successful completion of this course students are expected to be able to:
Describe and analyze a biological system in terms of ordinary or partial differential equations.
Describe the properties of a dynamic biological system given its mathematical formulation
Recognize the different properties of the tools used to simulated and analyse biological systems
Recognize the advantages and limitations of different tools and apply them critically given a problem
Implement the model(s) using Matlab
- read and discuss literature;
- solve exercises;
- extensive practicals;
- computer programming.
- exercises (30%);
- written report on project work (40%)
- oral-presentations of project work (30%).
The textbook for the course is “Mathematical Modeling in Systems Biology” by Brian P. Ingalls. A preprint version of the the book is freely available online. Additional material will be made available at the Brighspace site of the course.
|Restricted Optional for:||MBF||Bioinformatics||MSc||5MO|