The course is a natural continuation of MATH6100 Bioinformatics and Biological Modelling. However, MATH6100 is not a formal prerequisite for this course since it begins with a brief overview of the main concepts of MATH6100.
Topics covered include:
- The 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.
- A brief introduction to maximum likelihood estimates and apply this general statistical theory to the Markov chains and hidden Markov models (HMMs) studied in MATH6100.
- Finally, the derivation of PAM and BLOSUM scoring matrices will be explained.
Note: Graduate students attend joint classes with undergraduates but will be assessed separately.
Learning Outcomes
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. 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:
- Three assignments (worth 10% each; LO 1-3)
- Final examination (70%; LO 1-3)
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
Subject to staff availability. 36 lectures and regular tutorials.
Requisite and Incompatibility
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2016 | $3480 |
- International fee paying students
| Year | Fee |
|---|---|
| 2016 | $4638 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 2756 | 15 Feb 2016 | 26 Feb 2016 | 31 Mar 2016 | 27 May 2016 | In Person | N/A |
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 7723 | 18 Jul 2016 | 29 Jul 2016 | 31 Aug 2016 | 28 Oct 2016 | In Person | N/A |
