Module 3

NewSystems modelling and network analysis

Module summary:

This module provides comprehensive knowledge of the main, current techniques used in computational Systems Biology simulations.

Topics include:

  • Constraint-based modelling of genome scale metabolic networks
  • Computer simulation of Ordinary Differential Equation models
  • Metabolic Control Analysis
  • Exact stochastic simulation of molecular interaction networks
  • Hybrid Computer Simulation of multiscale models
  • Petri Net representation of molecular interaction networks
  • Model checking

This online module aims to:

  • Provide comprehensive knowledge and hands on experience of the main techniques currently used in computational Systems Biology simulations.
  • Enable students to independently conduct computational analyses of a system and how to interpret the results.
  • To increase awareness of the mathematical concepts underpinning quantitative/systems biology research in the biosciences.
  • To increase awareness of the utility and need of computational and mathematical sciences in the biosciences.
  • To increase awareness of the major molecular concepts relevant to current systems biology research.
  • To enable delegates to evaluate the quality of data and information.
  • To enable delegates to access publicly available information for the development of in silico network models.

On successful completion of this module, students will be able to:

  • Comprehensively describe the current computational techniques for Systems Biology simulations.
  • Demonstrate an ability to independently carry out simulations given a data set.
  • Critically evaluate the suitability of different experimental data sets for different simulation approaches.
  • Critically evaluate and interpret the output of a particular simulation.

Module Leader

Andrzej Kierzek

Professor Andrzej Kierzek

Professor of Systems Biology



Related modules

Quantitative data analysis 

Integrative interpretation of large-scale data

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Key Information

  • Start date

    Start Date - On-going  (applicants can apply year round) 

  • Duration

    Duration: 15 weeks/150 hours

  • Cost

    Cost: £1250

  • Credits

    Award: Certificate of achievement, subject to validation - 15 credits will be awarded as Recognition of Prior Learning (RPL)

  • Delivery of module

    Delivery of Module: Online lectures, live discussion events with academics and industry experts, interactive and self-directed learning exercises based on industry-directed case studies. Delivered via SurreyLearn virtual learning environment.

  • Assessment

    Assessment: TBC

Entry Requirements

At least a 2.2 degree (or equivalent) in a relevant biological sciences discipline. Applicants not possessing these qualifications may be considered, depending on the length and quality of their practical experience and recommendations from employers/supervisors.

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