× You are viewing an archive version of this unit.

Hobart

Note:

Introduction

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.

Summary 2021

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

A/Prof Michael Charleston

Available as student elective? No
Breadth Unit? No

Availability

Note

Please check that your computer meets the minimum 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.

TNE Program units special approval requirements.

* 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).

About Census Dates

Learning Outcomes

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”).

Fees

Requisites

Prerequisites

Students must be enrolled in a PhD or Masters degree

Teaching

Teaching Pattern

1 x lecture and 1 x lab weekly

Assessment
  • 20% written test
  • 15% computing skills / practical exercises
  • 25% assignment 1
  • 40% assignment 2
TimetableView the lecture timetable | View the full unit timetable

Textbooks

RequiredNone

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.