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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. These may include current research being done at the ANU and readings published research papers. The course is accompanied by computing exercises which explore the implementation of algorithms and their assessment though analysis of synthetic data. This course is co-taught with undergraduate students but assessed separately, with extra assignment questions set at an advanced level.
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: - Face-to face component which may consist of 3 x 1 hour lectures per semester (total 3 hours per week) plus 1 x 1 hour workshop per week. - Approximately 82 hours of self-study which will include preparation for lectures and other assessment tasks.
None.