Bioengineering Data Analytics (BMEN90037)

Intended learning outcomes

On completion of this subject, students should be able to:

• Calculate and interpret probabilities, probability densities, means, variances and covariances using axioms of probability, random variables and Bayes' rule
• Formulate and perform appropriate statistical hypothesis tests on biomedical engineering datasets
• Apply standard statistical procedures using a statistical computing package
• Model biomedical engineering data using linear and nonlinear models by estimating and testing hypotheses of model parameters
• Apply classifiers to biomedical engineering datasets
• Apply dimensionality reduction methods, including PCA and ICA, to biomedical engineering datasets.

Generic skills

• Ability to communicate effectively, with the engineering team and with the community at large
• Ability to manage information and documentation
• Understanding of professional and ethical responsibilities, and commitment to them
• Ability to function effectively as an individual and in multidisciplinary and multicultural teams, as a team leader or manager as well as an effective team member
• Ability to undertake problem identification, formulation and solution
• Ability to utilise a systems approach to design and operational performance
• Understanding of the principles of sustainable design and development
• Capacity for independent critical thought, rational inquiry and self-directed learning