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MATH2307 Bioinformatics and Biological Modelling

Later Year Course

Offered By Department of Maths
Academic Career Undergraduate
Course Subject Mathematics
Offered in Second Semester, 2010 and Second Semester, 2011
Unit Value 6 units
Course Description

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. The course is accompanied by computer lab sessions where we explore, in particular, major biological databases and sequence similarity search.

Learning Outcomes

On satisfying the requirements of this course, students will have the knowledge and skills to:

1. Understand basic models for the evolution of biological sequences.
2. Understand and apply basic probabilistic concepts such as probability spaces, conditional probability, Markov chains, and stationary distributions.
3. Understand the main principles of mathematical modelling in biology.
Indicative Assessment

Assessment will be based on:

  • Two assignments (30% each; LO 1-4)
  • Take-home examination (40%; LO 1-4)
Workload

36 lectures and ten tutorials

Areas of Interest Mathematics
Requisite Statement

12 units of Group A courses in Mathematics, including MATH1014 or MATH1116.

Science Group B
Academic Contact Conrad Burden

The information published on the Study at ANU 2010 website applies to the 2010 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2009 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions