Courses & Units

Bioinformatics KMA712



Bioinformatics is a core skill that is 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 the practical skills and knowledge to effectively use existing bioinformatics tools, to understand how the tools work and what can or cannot be done with them, and to develop and critically assess bioinformatics workflows and methodologies.

These tools and skills will enhance students' research capacity in life sciences.


Unit name Bioinformatics
Unit code KMA712
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics & Physics

A/Prof Michael Charleston

Available as student elective? No
Breadth Unit? No


Location Study period Attendance options Available to
Hobart Semester 1 On-Campus International Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Semester 1 25/2/2019 22/3/2019 15/4/2019 2/6/2019

* 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 2019 are indicative and subject to change. Finalised census dates for 2019 will be available from the 1st October 2018.

About Census Dates



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.



Students must be enrolled in a PhD or Masters degree


Teaching Pattern

2x1-hr lectures, and 2-hr lab each week during Semester


Mid-semester quiz (20%), Lab exercises weekly (totalling 15%), two Assignments (25% and 40%), no final exam.

TimetableView the lecture timetable | View the full unit timetable


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