42001 Bioinformatics6cp; 2hpw (workshop/laboratory)
Requisite(s): (31005 Machine Learning OR 41160 Introduction to Biomedical Engineering) AND (120 credit points of completed study in Bachelor's Degree courses owned by FEIT OR 120 credit points of completed study in Bachelor's Honours Embedded courses owned by FEIT OR 120 credit points of completed study in Bachelor's Combined Degree courses owned by FEIT OR 120 credit points of completed study in Bachelor's Combined Honours courses owned by FEIT OR 120 credit points of completed study in spk(s): MAJ01161 66cp Computational Biotechnology major BBiotech)
These requisites may not apply to students in certain courses. See access conditions.
Anti-requisite(s): 91816 Bioinformatics
knowledge of cell biology and basic programming skills
Biomedical Engineering major
Bioinformatics is the science of turning large quantities of biological measurements into meaningful and/or actionable information. This interdisciplinary field requires knowledge in biology, engineering and computer science including understanding of:
- biological contexts to initiate, plan and interpret the results of bioinformatics projects
- biotechnologies to develop and evaluate data processing and data mining strategies
- computer science to efficiently organise, store and manipulate data
- statistical methods to identify patterns and make predictions from the data, and
- visualisation techniques to interpret and communicate findings made from the data.
This subject offers an introduction to the acquisition, analysis and interpretation of experimental data with a major focus on state-of-the-art genome-wide biotechnologies. The overall aim is to provide students with the necessary background and practical techniques to initiate, conduct and further develop bioinformatics projects, and efficiently communicate project outcomes to domain experts such as biologists, engineers and medical professionals.
Spring session, City campus
Detailed subject description.