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
A/Prof Michael Charleston
|Available as student elective?||No|
|Location||Study period||Attendance options||Available to|
- International students
- Domestic students
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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.
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|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 2021 are indicative and subject to change. Finalised census dates for 2021 will be available from the 1st October 2021.
On successful completion of this unit, students will be able to
1. Effectively use a range of current bioinformatics tools and workflows to solve problems in life sciences (“software”);
2. Explain and apply the fundamental computational methods underlying the solution of bioinformatics problems (“methods”);
3. Classify the major classes of bioinformatics problems and choose appropriate tools to solve them (“major problems”);
4. Evaluate and communicate bioinformatics methodologies clearly (“communication”).
|Band||CSP Student Contribution||Full Fee Paying (domestic)||Field of Education|
|2||2020: $1,190.00||2020: $2,354.00||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.
Students must be enrolled in a PhD or Masters degree
1 x lecture and 1 x lab weekly
|Timetable||View the lecture timetable | View the full unit timetable|
Booktopia textbook links
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