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Statistics for Bioinformatics (BINF90001)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Email: aurored@unimelb.edu.au
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
Bioinformatics involves the analysis of biological data and randomness is inherent in both the biological processes themselves and the sampling mechanisms by which they are observed. This subject first introduces stochastic processes and their applications in Bioinformatics, including evolutionary models. It then considers the application of classical statistical methods including estimation, hypothesis testing, model selection, multiple comparisons, and multivariate statistical techniques in Bioinformatics.
Intended learning outcomes
At the conclusion of this subject, students should be able to:
- understand some of the common stochastic models encountered in Bioinformatics;
- apply a variety of statistical techniques to problems arising in Bioinformatics.
Generic skills
- Problem-solving skills including engaging with unfamiliar problems and identifying relevant 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 an analysis; Through interaction
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
One of the following, or equivalent:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST90058 | Elements of Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
MAST20005 | Statistics | 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: 3 November 2022
Assessment
Additional details
50 pages of written assignments (40%: two assignments worth 20% each, due mid and late in semester), a 3 hour written examination (60%, in the examination period)
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator Aurore Delaigle Mode of delivery On Campus (Parkville) Contact hours 36 hours Total time commitment 170 hours Teaching period 27 February 2017 to 28 May 2017 Last self-enrol date 10 March 2017 Census date 31 March 2017 Last date to withdraw without fail 5 May 2017 Assessment period ends 23 June 2017 Semester 1 contact information
Email: aurored@unimelb.edu.au
Time commitment details
170 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
None
Recommended texts and other resources
None
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Bioinformatics) - 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.
Last updated: 3 November 2022