• Offered by Mathematical Sciences Institute
  • ANU College ANU Joint Colleges of Science
  • Classification Advanced
  • Course subject Mathematics
  • Areas of interest Mathematics
  • Academic career PGRD
  • Course convener
    • Dr Xia Hua
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in Second Semester 2020
    See Future Offerings

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.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Explain thoroughly models for the evolution and comparison of biological sequences and their applications.
  2. Demonstrate a deep understanding of probabilistic concepts such as probability spaces, conditional probability, Markov chains, and stationary distributions.
  3. Demonstrate a deep understanding of the main principles of mathematical modelling in biology and the capacity to construct mathematical models.

Indicative Assessment

  1. Four assignments (60) [LO 1,2,3]
  2. Final exam (40) [LO 1,2,3]

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

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.

Inherent Requirements

To be determined

Requisite and Incompatibility

To enrol in this course you must be studying a Master of Mathematical Sciences, Master of Biotechnology, Master of Biotechnology (Advanced), Master of Science (Advanced) in Quantitative Biology and Bioinformatics or Master of Science in Quantitative Biology and Bioinformatics. You are not able to enrol in this course if you have completed MATH2307.

You will need to contact the Mathematical Sciences Institute to request a permission code to enrol in this course.

Prescribed Texts

No prescribed texts

Specialisations

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
Domestic fee paying students
Year Fee
2020 $4050
International fee paying students
Year Fee
2020 $5760
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

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 N/A

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