- Code MATH2307
- 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
Second Semester 2019
See Future Offerings
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 the language and environment for statistical and mathematical computing and graphics, R
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. Understand basic models for the evolution and comparison of biological sequences.
2. Understand and apply basic probabilistic concepts such as conditional probability, Markov chains,
and hidden Markov models.
3. Understand the main principles of mathematical modelling in biology.
Assessment will be based on:
- Three assignments (20% each; LO 1-4)
- Final exam (40%; LO 1-4)
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WorkloadThree lectures per week and regular workshops.
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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- International fee paying students
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|
|7650||22 Jul 2019||29 Jul 2019||31 Aug 2019||25 Oct 2019||In Person||View|