ES97J-15 Biological Systems: Analysis, Dynamics and Control
Introductory description
This model introduces students to the role of systems and control theory in understanding and engineering living systems.
Module aims
This module focuses on how computational and mathematical methods can be used for the modeling, analysis, and design of biological systems. It gives students a hands-on computational experience of understanding and engineering such systems through MATLAB assignments. The module fosters a highly multidisciplinary view of biology, and to describes the recent evolution of the field towards being an engineering science.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
- Modeling biological circuits and systems
- Analysis of biological system models using linear systems theory
- Analysis of biological system models using nonlinear systems theory
- The role of feedback control in biological systems
- Robustness in biological systems
- Oscillations in biological systems
- Modeling physiological systems
- Engineering genetic circuits
- Modularity, retroactivity and insulation devices
- Design of synthetic circuits using chemical reaction networks
Learning outcomes
By the end of the module, students should be able to:
- Understand fundamental design principles of synthetic biological systems such as modularity, retroactivity, robustness and how modeling can be used in the design of synthetic biological circuits and systems [M1, M2, M6]
- Construct, simulate and analyse complex models of biological systems and understand the role of feedback in regulating biological phenomena [M1, M2, M3, M6, M12]
- Apply an array of computational packages and analysis methods on models and available datasets of diverse biological phenomena. [M1, M2, M3, M6, M12]
- Analyze and design synthetic biological systems by applying Matlab toolboxes and modeling techniques. [M1, M2, M3, M6, M12]
- Think creatively and beyond traditional discipline boundaries to combine experimental and theoretical concepts, literature and ideas from the field of Synthetic Biology. [M1, M2]
Indicative reading list
- Carlo Cosentino and Declan Bates. “Feedback Control in Systems Biology”, Taylor & Francis, 2011. ISBN 9781439816905
- Domitilla Del Vecchio and Richard Murray. “Biomolecular Feedback Systems”, Princeton University Press, 2015. ISBN: 9780691161532
- Aydin Tozeren and Stephen Byers. “New Biology for Engineers and Computer Scientists”, Pearson, 2004. ISBN: 9780130664631
- Brian Hahn and Dan Valentine. “Essential MATLAB for Engineers and Scientists”, Elsevier, 2013 ISBN-9780123943989,
- Nicholas F Britton. “Essential Mathematical Biology”, Springer, 2003. ISBN 978-1-4471-0049-2
- James D Murray. “Mathematical Biology: An Introduction: Part 1”, Springer, 2002. ISBN 978-0387952239
- Steven H Strogatz. “Nonlinear Dynamics and Chaos”, Perseus Books, 2000. 978-0738204536
- Uri Alon. “An Introduction to Systems Biology: Design Principles of Biological Circuits”, Chapman & Hall, 2006. ISBN 9781584886426
- James Keener and James Sneyd. “Mathematical Physiology”, Springer-Verlag, 1998. ISBN 978-0-387-75847-3
- Edda Klipp et al. “Systems Biology: A Textbook”, Wiley VCH Blackwell, 2009. ISBN 978-3527318742
Interdisciplinary
Engineering - Biology
Subject specific skills
Advanced modelling and computational skills
Transferable skills
Team working, interdisciplinary working
Study time
| Type | Required |
|---|---|
| Lectures | 17 sessions of 1 hour (11%) |
| Tutorials | 1 session of 2 hours (1%) |
| Practical classes | 4 sessions of 3 hours (8%) |
| Private study | 119 hours (79%) |
| Total | 150 hours |
Private study description
The following is a suggestion of how the hours of private study could be used: Directed reading on biological concepts prior to classes: 16. Preparation for tutorial: 12. Wider reading of literature: 20. Reviewing lab classes and wider exploration. 20.
Costs
No further costs have been identified for this module.
You must pass all assessment components to pass the module.
Assessment group A4
| Weighting | Study time | Eligible for self-certification | |
|---|---|---|---|
| Individual Assignment | 100% | Yes (extension) | |
|
Student will build a biological system model and investigate its dynamic properties . They will prepare a report and a viva voce will be conducted. |
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Feedback on assessment
Hands-on Matlab laboratories will align student expectations with requirements for assessment, and provide preparation for undertaking their individual assignment. Assignments will be marked with detailed individual comments aligned with assessment criteria.
The assignment will consist of a report and an oral presentation. Both will be marked:
- The report will be marked considering its technical content (i.e., clarity, completeness, references etc.), originality and format (i.e., clear table of contents, consistent format of titles, references, tables and figures etc.). The report will be marked and returned to students with detailed comments.
- The presentation will be marked considering technical content, format, presentation skills and ability to answer questions.
Pre-requisites
System modelling and control (equivalent to ES3C8) knowledge is required. Suggested reading will be provided for the biology concepts, but no background module is specifically required for this.
Courses
This module is Optional for:
- Year 4 of UESA-H116 MEng Engineering with Exchange Year
- Year 5 of UESA-H115 MEng Engineering with Intercalated Year
- Year 1 of TESA-H800 Postgraduate Taught Biomedical Engineering
This module is Option list A for:
- Year 4 of UESA-H163 MEng Biomedical Systems Engineering
- Year 4 of UESA-H114 MEng Engineering
This module is Option list B for:
- Year 4 of UESA-H163 MEng Biomedical Systems Engineering
- Year 4 of UESA-HH31 MEng Systems Engineering
- Year 4 of UESA-HH33 MEng Systems Engineering with Exchange Year
- Year 5 of UESA-HH32 MEng Systems Engineering with Intercalated Year
- Year 1 of TPXA-F345 Postgraduate Taught Modelling of Heterogeneous Systems (PGDip)