- Code MATH3353
- Unit Value 6 units
See https://www.anu.edu.au/covid-19-advice. In Sem 1 2022, this course is delivered on campus with adjustments for remote participants.
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
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Commonwealth Support (CSP) Students
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- Unit value:
- 6 units
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