Please note that this unit currently runs in February, before the start of Semester 1. The unit is delivered in a short intensive course over 5 days full time, with assessments continuing after the lectures finish.It is intended that the unit will move to a more blended mode, allowing the unit to run through Semester 1 using mainly on-line delivery. This is to be confirmed for 2017.
Bioinformatics is a core skill that is desperately needed by practitioners in the life sciences, from health to pathology and epidemiology to fundamental biological research. It is a discipline that brings together tools from mathematics, statistics, and computer science, to answer challenging questions that arise in the modern life sciences.The unit is aimed at those pursuing research in the life sciences and/or working with large biological data sets, and is intended to provide them with sufficient knowledge to effectively use existing bioinformatics tools, to understand how the bioinformatics tools work and what can or cannot be done with them, and to develop and critically assess bioinformatics workflows and methodologies.
|Faculty/School||College of Sciences and Engineering
School of Natural Sciences
|Discipline||Mathematics & Physics|
A/Prof Michael Charleston
|Available as student elective?||No|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
Please check you System Requirements if you are attending via Distance/Off-Campus.
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Special approval is required for enrolment into TNE Program units.
|Study Period||Start date||Census date||WW date||End date|
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Unit census dates currently displaying for 2018 are indicative and subject to change. Finalised census dates for 2018 will be available from the 1st October 2017.
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2018: $1,148.00||2018: $2,126.00||010999|
Fees for next year will be published in October. The fees above only apply for the year shown.
Please note: international students should refer to this page to get an indicative course cost.
PrerequisitesStudents must be enrolled in a PhD or Masters degree
On-campus component: 5 full days over 1 week, as approximately 50% lecture and 50% computer lab exercises.
One take-home quiz (20%), two assignments (30% and 50%).
|Timetable||View the lecture timetable | View the full unit timetable|
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The University reserves the right to amend or remove courses and unit availabilities, as appropriate.