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Mathematical Sciences Institute · ANU College of Systems and Society
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.
Four assignments (15% each)
Learning outcomes 1, 2, 3
Final exam
Learning outcomes 1, 2, 3
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.
None.