- Code MATH3353
- Unit Value 6 units
- Offered by Mathematical Sciences Institute
- ANU College ANU Joint Colleges of Science
- Course subject Mathematics
- Areas of interest Mathematics
- Academic career UGRD
- Dr Conrad Burden
- Mode of delivery In Person
- Co-taught Course
First Semester 2017
See Future Offerings
This course begins with a brief review of some of the areas of probability and statistics needed for applications to bioinformatics problems. Typical problems addressed by bioinformaticians are identifying functionally different parts of a genome, searching DNA or protein databases to find sequences which are functionally similar to a given query sequence, or inferring the relatedness of different species by measuring the similarity of their genomes. The course will cover the mathematical theory behind algorithms commonly used by biologists and also give examples of current research.
Note: This is an Honours Pathway Course. It emphasises mathematical rigour for a range of advanced Bioinformatics topics.
Upon successful completion, students will have the knowledge and skills to:
On satisfying the requirements of this course, students will have the knowledge and skills to:
1. Explain the fundamental concepts of a special topic in bioinformatics and its role in modern mathematics and applied contexts.
2. Demonstrate accurate and efficient use of specific bioinformatics techniques.
3. Demonstrate capacity for mathematical reasoning through analysing, proving and explaining concepts from bioinformatics.
Indicative AssessmentAssessment is expected to be based on:
- Assignments (60%; LO 1-3)
- Final exam (40%; LO 1-3)
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WorkloadRegular meetings and tutorials.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|2600||20 Feb 2017||27 Feb 2017||31 Mar 2017||26 May 2017||In Person||N/A|