- Code MATH2307
- Unit Value 6 units
- Offered by Mathematical Sciences Institute
- ANU College ANU Joint Colleges of Science
- Course subject Mathematics
- Areas of interest Bioinformatics, Mathematics, Biology
The course begins with a detailed discussion of sequence alignment algorithms that are critical for assessing the relatedness of DNA, RNA and amino acid sequences. We then proceed to studying Markov chains and hidden Markov models as important examples of biological models for such sequences. The main algorithms and several applications will be explained. Finally, a broad range of examples of applications of mathematics in biology, both at the molecular and macroscopic level, will be given. The course is accompanied by computer lab sessions to gain practice in R, a language and environment for statistical and mathematical computing and graphics.
Upon successful completion, students will have the knowledge and skills to:
- Understand basic models for the evolution and comparison of biological sequences.
- Understand and apply basic probabilistic concepts such as conditional probability, Markov chains, and hidden Markov models.
- Understand the main principles of mathematical modelling in biology.
- Four assignments (15% each) (60) [LO 1,2,3]
- Final exam (40) [LO 1,2,3]
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The expected workload will consist of approximately 130 hours throughout the semester including:
- 3 x 1 hour lecturers per week (36 hours) as well as 10 hours of workshop time.
- Approximately 84 hours of self-study per semester which will include preparation for lectures, assignments and other assessment tasks.
Requisite and Incompatibility
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
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- Unit value:
- 6 units
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|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|5939||24 Jul 2023||31 Jul 2023||31 Aug 2023||27 Oct 2023||In Person||N/A|