• Offered by Research School of Biology
  • ANU College ANU Joint Colleges of Science
  • Classification Advanced
  • Course subject Biology
  • Areas of interest Statistics, Bioinformatics, Biology
  • Academic career Postgraduate
  • Course convener
    • Prof Eric Stone
  • Mode of delivery In Person
  • Offered in First Semester 2018
    Second Semester 2018
    See Future Offerings

Quantitative biology and bioinformatics demand a combination of technical skills and domain knowledge. In these data-driven sciences, effective communication with experimentalists is a prerequisite to success, as both parties must comprehend both the problem and the solution. In this course, students will gain consulting experience in quantitative biology and bioinformatics. They will learn to communicate effectively with clients, both verbally and in writing, and how to avoid jargon without sacrificing precision. Students will interact with experimentalists and learn to distil biological goals and challenges into quantitative/computational problems to be solved. Students will gain experience collaborating and solving these problems in a mentored professional setting. In doing so, they will learn how to report on their progress to both clients and colleagues.

Learning Outcomes

On satisfying the requirements of this course, students will have the knowledge and skills to:
  1. Communicate effectively and professionally with scientists outside of their discipline
  2. Translate biological goals and challenges into underpinning quantitative/computational problems
  3. Engage in an independent investigation and evaluation of quantitative/computational solutions to biological problems
  4. Describe and defend a chosen methodology in the context of the problem being solved
  5. Estimate the difficulty of a project and the time commitment that will be required
  6. Identify when additional skills and/or expertise will be required to solve a problem

Indicative Assessment

Assessment will be based on:
  • 25% Evidence of professional communication (peer evaluation, client feedback, preceptor reports, notebook) [LO 1,2,3,4,5,6]
  • 25% Initial consulting plan [LO 2,4,5,6]
  • 25% Final presentation to client [LO 1,2,3,4]
  • 25% Final presentation to class [LO 2,3,4]

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

1 lecture + 1 practicum per week, 1 written proposal (consulting plan), 2 group presentations (final report to client, final report to class)

Requisite and Incompatibility

You will need to contact the Research School of Biology 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:
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
Note: Please note that fee information is for current year only.

Offerings and Dates

The list of offerings for future years is indicative only

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
4768 19 Feb 2018 26 Feb 2018 31 Mar 2018 25 May 2018 In Person

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery
9830 23 Jul 2018 30 Jul 2018 31 Aug 2018 26 Oct 2018 In Person

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