- Code MATH6100
- Unit Value 6 units
- Offered by Mathematical Sciences Institute
- ANU College ANU Joint Colleges of Science
- Course subject Mathematics
- Areas of interest Mathematics
- Academic career PGRD
- Dr Xia Hua
- Mode of delivery In Person
- Co-taught Course
Second Semester 2020
See Future Offerings
All activities that form part of this course will be delivered remotely in Sem 2 2020.
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.
Upon successful completion, students will have the knowledge and skills to:
- Explain thoroughly models for the evolution and comparison of biological sequences and their applications.
- Demonstrate a deep understanding of probabilistic concepts such as probability spaces, conditional probability, Markov chains, and stationary distributions.
- Demonstrate a deep understanding of the main principles of mathematical modelling in biology and the capacity to construct mathematical models.
- Four assignments (60) [LO 1,2,3]
- Final exam (40) [LO 1,2,3]
In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle.
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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) plus 1 x 1 hour workshop per week.
- Approximately 82 hours of self-study which will include preparation for lectures and other assessment tasks.
Current statement: Regular meetings and workshops.
To be determined
Requisite and Incompatibility
You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.
No prescribed texts
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:
- 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.
- Domestic fee paying students
- International fee paying students
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.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8585||27 Jul 2020||03 Aug 2020||31 Aug 2020||30 Oct 2020||In Person||View|