Bioinformatics (11735.1)
Please note these are the 2023 details for this unit
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | On-Campus |
Bruce, Canberra |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Science And Technology |
Discipline | Study level | HECS Bands |
Academic Program Area - Science | Level 2 - Undergraduate Intermediate Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
This unit is focussed on developing a comprehensive understanding of the principles and methods that underlie bioinformatics, focussing on application of computational methods in handling big data, and scientific databases in genomics and proteomics. Major topics include genomics, proteomics, systems biology, medical informatics and the ethical implications of the use of emerging technologies. Using computational techniques for the analysis of biological sequence data, students will explore a number of global challenges that face modern medical science.
1. Appraise how genes and proteins can be analysed using computing resources;
2. Apply knowledge of gene/protein structure-function relationships and incorporate statistical methodology to analyse big data;
3. Evaluate the impact of bioinformatics and emerging technologies pertinent to medical science approaches to characterising genomes and proteomes; and
4. Demonstrate competency in using a variety of online databases to critically appraise DNA, RNA, and protein sequence information.
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - evaluate and adopt new technology
Learning outcomes
On successful completion of this unit, students will be able to:1. Appraise how genes and proteins can be analysed using computing resources;
2. Apply knowledge of gene/protein structure-function relationships and incorporate statistical methodology to analyse big data;
3. Evaluate the impact of bioinformatics and emerging technologies pertinent to medical science approaches to characterising genomes and proteomes; and
4. Demonstrate competency in using a variety of online databases to critically appraise DNA, RNA, and protein sequence information.
Graduate attributes
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - evaluate and adopt new technology
Prerequisites
11723 Data Analysis Skills for ScienceCorequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.
Availability for enrolment in 2024 is subject to change and may not be confirmed until closer to the teaching start date.
Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2023 | Bruce, Canberra | Semester 1 | 06 February 2023 | On-Campus | Prof David Gordon |
2024 | Bruce, Canberra | Semester 1 | 05 February 2024 | On-Campus | Prof David Gordon |
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit
timetable.