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Systems and Synthetic Biology (BMEN90027)
Graduate courseworkPoints: 12.5Online
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Overview
Availability | Semester 1 - Online |
---|---|
Fees | Look up fees |
AIMS:
This subject introduces mathematical and computational modelling, simulation and analysis of biological systems. The emphasis is on developing models, with examples, using MATLAB.
INDICATIVE CONTENT:
Topics include:
Modelling biochemical reactions. Law of mass action. Enzymes and regulation of enzyme reactions. Thermodynamics of reversible biochemical reactions. Cellular homeostasis. Application of ordinary differential equations to these problems.
Modelling large reaction networks. Flux balance analysis and constraint-based methods. Genome-scale models. Regulation of gene expression. Gene regulatory networks in systems and synthetic biology. Network inference and statistical modelling of –omic data. Knowledge-based modelling in systems biology.
Intended learning outcomes
On completion of this subject the student is expected to:
- Evaluate the role for mathematical and computational modelling of biological systems;
- Employ the law of mass action to develop ODE models for biochemical reactions;
- Develop and analyse models for enzyme catalysed reactions in cellular bioengineering and synthetic biology;
- Demonstrate the use of ODE and PDE models in molecular and cellular physiology;
- Understand the premise of systems and synthetic biology;
- Develop and analyse large-scale network models for biosystems and synthetic biology;
- Understand the role of knowledge-based modelling in systems biology;
- Evaluate and employ the measurement technologies and sources of data underlying systems and synthetic biology, including data repositories and different modelling approaches.
Generic skills
On completion of this subject students should have developed the following generic skills:
- Ability to apply knowledge of science and engineering fundamentals.
- Ability to communicate effectively, with the engineering team and with the community at large.
- Capacity for lifelong learning and professional development.
- Profound respect for truth and intellectual integrity, and for the ethics of scholarship.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20029 | Engineering Mathematics |
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
OR
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20009 | Vector Calculus |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
MAST20030 | Differential Equations | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
OR
Equivalent Mathematics subject
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Description | Timing | Percentage |
---|---|---|
Participation in up to six workshops in Weeks 2 to 12, of which 4 are assessed with a written assignment of approximately 500 words, requiring 13-15 hours of work including preparation (10% each).
| From Week 2 to Week 12 | 40% |
One mid-semester test
| Week 7 | 10% |
One written examination
| End of semester | 50% |
Additional details
Intended Learning Outcomes (ILOs) 1 to 8 are assessed in the final written examination, assignments and workshop reports. ILOs 1 to 4 are also assessed in the mid-semester test.
Last updated: 3 November 2022
Dates & times
- Semester 1 - Online
Principal coordinator Andrea O'Connor Mode of delivery Online Contact hours 36 hours: 2 x 1 hour lectures per week and 6 x 2 hours workshops / tutorials over the semester Total time commitment 200 hours Teaching period 1 March 2021 to 30 May 2021 Last self-enrol date 12 March 2021 Census date 31 March 2021 Last date to withdraw without fail 7 May 2021 Assessment period ends 25 June 2021 Semester 1 contact information
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
- Related Handbook entries
This subject contributes to the following:
Type Name Specialisation (formal) Biomedical - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022