• Offered by Biology Teaching and Learning Centre
  • ANU College ANU Joint Colleges of Science
  • Classification Advanced
  • Course subject Biology
  • Areas of interest Bioinformatics
  • Academic career PGRD
  • Course convener
    • Prof Damien Farine
  • Mode of delivery In Person
  • Offered in Second Semester 2023
    See Future Offerings

Biological research techniques are changing rapidly, and each year, we learn about new ways of collecting biological data, including genomic, phenotypic, ecological and environmental data. New data often require new methods of analysis, or novel applications of existing techniques. At the same time, novel mathematical models and theories are required to explain emerging patterns in biological data such as SARS-COV2 causing COVID-19. Students will learn the latest methods, models and theories for organising, analysing and interpreting biological data with a focus on SARS-COV2 in Australia and globally.

Learning Outcomes

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

  1. Identify analyses appropriate for different types of data, and explain their theoretical foundations.
  2. Describe, present, and critically evaluate analytical methods, models and theories used in published research, and identify, where relevant, more appropriate alternatives.
  3. Apply and extend analytical methods, models and theories to biological datasets.

Other Information

Please email rsb.studentadmin@anu.edu.au to request a permission code to enrol in this course

Indicative Assessment

  1. Written assignment and summaries (40) [LO 1]
  2. Class participation and journal club presentation (20) [LO 2]
  3. Projects (40) [LO 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:

  • Classroom component which may consist of 2 hours of lecture style learning and 1 hour of weekly graduate seminar (total to approx. 36 hours).
  • Approximately 94 hours of self-study which will include preparation for lectures, presentations and other assessment tasks.

Students are expected to actively participate and contribute towards discussions.

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must have successfully completed 12 units from BIOL6200, (BIOL6035 or BIOL6036), STAT7001, or (COMP6730 or COMP7230).

You will need to contact the Biology Teaching and Learning Centre to request a permission code to enrol in this course.

Prescribed Texts

Nil

Fees

Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees

Student Contribution Band:
2
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found 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
2023 $4320
International fee paying students
Year Fee
2023 $6180
Note: Please note that fee information is for current year only.

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.

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
5845 24 Jul 2023 31 Jul 2023 31 Aug 2023 27 Oct 2023 In Person N/A

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