Mathematics & Statistics for Biomedicine (MAST10024)
Undergraduate level 1Points: 12.5On Campus (Parkville)
About this subject
Contact information
Semester 1
Semester 2
Overview
| Availability | Semester 1 Semester 2 |
|---|---|
| Fees | Look up fees |
This subject will introduce mathematical and statistical techniques to illustrate the importance of quantitative modelling and data analysis in biomedicine.
Quantitative models will be explored in a variety of biomedical contexts. Emphasis will be placed on understanding how biological principles can give rise to quantitative models. Topics to be explored include processes at the cellular level and the modelling of the spread of infectious diseases among populations. The fundamental concepts of probability and statistics required for experimental design and data analysis in the biomedical sciences will also be covered. Emphasis will be placed on the presentation and interpretation of the results from statistical analyses of biomedical data. The mathematical and statistical methods covered will be implemented using a standard computing package and illustrated via specific applications from the biomedical sciences.
Intended learning outcomes
On completion of this subject, students should be able to:
- Explain the importance of the mathematical principles underlying some topics in biomedical science;
- Explain and apply these principles, using logical and mathematical reasoning, to a variety of situations, both familiar and novel, in biomedicine and public health.
- Explain and apply a range of standard statistical methods to problems in the biomedical sciences.
- Choose and apply a form of experimental design suitable for a range of standard biomedical experiments.
Generic skills
- problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- collaborative skills: the ability to work in a team
- time management skills: the ability to meet regular deadlines while balancing competing commitments.
Last updated: 8 November 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
MAST10010, MAST10011, MAST10016, ECON10005, MAST20005
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: 8 November 2024
Assessment
| Description | Timing | Percentage |
|---|---|---|
Written Assignment - Six written mathematical and statistical assignments (Using the tools associated with subject: R) due at fortnightly intervals amounting to a total of up to 50 pages of written work
| Throughout the teaching period | 30% |
One computer-based in-class test (40 minutes)
| Week 11 | 10% |
Best 10 (of 11) online quizzes. Weekly, in students own time.
| Throughout the semester | 10% |
A written examination (2 hours)
| During the examination period | 50% |
Last updated: 8 November 2024
Dates & times
- Semester 1
Coordinators Stuart Johnston and James Osborne Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 26 February 2024 to 26 May 2024 Last self-enrol date 8 March 2024 Census date 3 April 2024 Last date to withdraw without fail 3 May 2024 Assessment period ends 21 June 2024 Semester 1 contact information
- Semester 2
Coordinator Alex Zarebski Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 22 July 2024 to 20 October 2024 Last self-enrol date 2 August 2024 Census date 2 September 2024 Last date to withdraw without fail 20 September 2024 Assessment period ends 15 November 2024 Semester 2 contact information
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: 8 November 2024
Further information
- Texts
- Breadth options
Last updated: 8 November 2024