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Infectious Disease Dynamics (MAST90129)
Graduate courseworkPoints: 12.5Not available in 2024
Overview
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This subject introduces the fundamental mathematical models used to study infectious diseases at both the epidemiological and within-host scale. The emphasis is on: 1) how models are developed, from conceptualisation through to implementation in software; and 2) how to apply models to questions of epidemiological, public health and biological importance. Statistical techniques for the model-based analysis of relevant data resources will be introduced.
- Epidemiology: epidemic/endemic behaviour and intervention strategies to reduce transmission, the SIR model, including demography, threshold behaviour, phase-plane analysis;
- Viral dynamics: host-pathogen interactions, the mediating influences of immunomodulatory agents and antimicrobials, the TIV model, including the immune response, pharmacokinetic-pharmacodynamic models;
- Model sensitivity and uncertainty analysis, scenario analysis, parameter estimation, model comparison
Intended learning outcomes
On completion of this subject, students should:
- Appreciate the nature and purpose of infectious diseases modelling in the epidemiological and biological contexts
- Be able to apply analytical approaches to the study of infectious diseases problems
- Be able to develop, implement and analyse (numerically) models in software
- Understand and be able to apply principles of Bayesian statistical inference to infectious diseases problems
- Understand how to interpret and evaluate models of infectious diseases in a variety of contexts
Generic skills
- In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. In particular: - modelling skills: the ability to abstract and generalise from observations of a complex system, providing an alternative perspective on the problem - numerical and computer simulation skills: the ability to design computer programs to solve models and test hypotheses - time-management skills: the ability to meet regular deadlines while balancing competing commitments.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST30032 | Biological Modelling and Simulation | Semester 1 (On Campus - Parkville) |
12.5 |
MAST30028 | Numerical Methods & Scientific Computing | Semester 2 (On Campus - Parkville) |
12.5 |
COMP10001 | Foundations of Computing |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90059 | Introduction to Programming |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
AND
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST30030 | Applied Mathematical Modelling | Semester 1 (On Campus - Parkville) |
12.5 |
MAST20030 | Differential Equations | Semester 2 (On Campus - Parkville) |
12.5 |
MAST20029 | Engineering Mathematics |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
PHYC20014 | Theoretical Physics 2 | Semester 2 (On Campus - Parkville) |
12.5 |
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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Short answer test (in class)
| Week 4 | 10% |
Written assignment
| Late in the teaching period | 15% |
Computer laboratory assessment
| Week 10 | 15% |
Exam
| During the examination period | 60% |
Last updated: 31 January 2024
Dates & times
Not available in 2024
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- 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.
- 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: 31 January 2024