MATH3353 Topics in Bioinformatics Honours
Later Year Course
| Offered By | Department of Maths |
|---|---|
| Academic Career | Undergraduate |
| Course Subject | Mathematics |
| Offered in | First Semester, 2010, Second Semester, 2010, First Semester, 2011, and Second Semester, 2011 |
| Unit Value | 6 units |
| Course Description |
The course is a natural continuation of MATH2307 Bioinformatics and Biological Modelling. However, MATH2307 is not a formal prerequisite for this course since it begins with a brief overview of the main concepts of MATH2307. Next, necessary concepts and techniques from the probability theory will be introduced. They will be applied to assessing the significance of the score of pairwise alignments of biological sequences. Further, we will give a brief introduction to maximum likelihood estimates and apply this general statistical theory to the Markov chains and hidden Markov models (HMMs) studied in MATH2307. Finally, the derivation of PAM and BLOSUM scoring matrices will be explained. Note: This is an HPC. It emphasises mathematical rigour for a range of advanced Bioinformatics topics. |
| Learning Outcomes |
On satisfying the requirements of this course, students will have the knowledge and skills to: 1. Explain the fundamental concepts of a special topic in bioinformatics and its role in modern mathematics and applied contexts.2. Demonstrate accurate and efficient use of specific bioinformatics techniques. 3. Demonstrate capacity for mathematical reasoning through analysing, proving and explaining concepts from bioinformatics. |
| Indicative Assessment |
Assessment is expected to be based on:
|
| Workload | Subject to staff availability. 36 lectures and regular tutorials. |
| Areas of Interest | Mathematics |
| Requisite Statement | In consultation with course coordinator but typically 12 units of Group B courses in Mathematics. |
| Corequisites | A solid background in theoretical physics and mathematics is expected. |
| Incompatibility | MATH3017 |
| Consent Required | Please contact admin.teaching.msi@anu.edu.au for consent to enrol in this course. |
| Science Group | C |
| Academic Contact | Dr Alexander Isaev |
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.
