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Bioengineering Data Analytics (BMEN90037)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable (login required)(opens in new window)
Contact information
Semester 1
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
This subject teaches fundamentals of data analysis as relevant to modern biomedical engineering, in an integrated approach that combines theory with highly contextualised, project-based learning. Students are introduced to the foundations of probability and random variables, statistical hypothesis testing, linear and nonlinear regression, data classification and dimensionality reduction techniques. Each topic is explicated via case studies from clinical, industrial and research applications of biomedical engineering, covering topics in biomechanics, biosensors, bioinformatics, biomedical imaging and biomaterials.
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
Last updated: 30 January 2024
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20029 | Engineering Mathematics |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
AND
Note: the following subject/s can also be taken concurrently (at the same time):
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BMEN20003 | Applied Computation in Bioengineering | Semester 1 (On Campus - Parkville) |
12.5 |
COMP20005 | Intro. to Numerical Computation in C |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
BMEN20001 Biomechanical Physics & Computation
Or equivalent
Corequisites
Non-allowed subjects
BMEN90026 Clinical Trials and Regulations
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 30 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Workshop Reports (8 x 3-page reports). Intended Learning Outcomes (ILOs) 1-6 are addressed in this assessment.
| From Week 2 to Week 12 | 50% |
Mid-Semester Test. ILOs 1 and 2 are addressed in this assessment.
| Week 7 | 10% |
Final Exam. ILOs 1, 2, 4-6 are addressed in this assessment.
| During the examination period | 40% |
Last updated: 30 January 2024
Dates & times
- Semester 1
Principal coordinator Katie Davey Coordinator Matt Faria Mode of delivery On Campus (Parkville) Contact hours 3x 1-hour lectures per week for 12 weeks, 1x 3-hour computer-based workshop per week incorporating tutorial syle learning for 11 weeks Total time commitment 200 hours Teaching period 26 February 2024 to 26 May 2024 Last self-enrol date 8 March 2024 Census date 3 April 2024 Last date to withdraw without fail 3 May 2024 Assessment period ends 21 June 2024 Semester 1 contact information
Last updated: 30 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Engineering Specialisation (formal) Biomedical Specialisation (formal) Biomedical with Business - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 30 January 2024