Bioengineering Data Analytics (BMEN90037)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
Semester 1
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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: 4 March 2025

Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
MAST20029 Engineering Mathematics
Semester 1 (On Campus - Parkville)
Summer Term (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: 4 March 2025

Assessment

DescriptionTimingPercentage

Workshop Reports (8 x 3-page reports). Intended Learning Outcomes (ILOs) 1-6 are addressed in this assessment.

  • 3 pages
From Week 2 to Week 1250%

Mid-Semester Test. ILOs 1 and 2 are addressed in this assessment.

  • 50 minutes
Week 710%

Final Exam. ILOs 1, 2, 4-6 are addressed in this assessment.

  • 2 hours
Hurdle requirement: Students must pass the end of semester examination to pass the subject.		During the examination period40%

Last updated: 4 March 2025

Dates & times

  • Semester 1
    Principal coordinatorMatt Faria
    CoordinatorKatie Davey
    Mode of deliveryOn Campus (Parkville)
    Contact hours3x 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 commitment200 hours
    Teaching period 3 March 2025 to 1 June 2025
    Last self-enrol date14 March 2025
    Census date31 March 2025
    Last date to withdraw without fail 9 May 2025
    Assessment period ends27 June 2025

    Semester 1 contact information

    Matt Faria

    matthew.faria@unimelb.edu.au 

    Katie Davey

    catherine.davey@unimelb.edu.au

     

What do these dates mean

Visit this webpage to find out about these key dates, including how they impact on:

  • Your tuition fees, academic transcript and statements.
  • And for Commonwealth Supported students, your:
       -  Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
     

    Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.

Last updated: 4 March 2025

Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • Subject notes

    LEARNING AND TEACHING METHODS
    The subject is delivered through lectures, tutorials, quizzes and workshops. Assessment is in the form of workshop reports, an assignment, and a final exam.

    INDICATIVE KEY LEARNING RESOURCES 
    Students are provided with lecture slides and recording, tutorials with worked solutions, workshops with code solutions, previous MST and exam questions with worked solutions.

    CAREERS / INDUSTRY LINKS
    The lecture series features guest lecturers from industry and short videos interviewing people about application of concepts to industry. There is also an interactive tutorial based on real world applications. Collectivlely, these examples illustrate how the knowledge and concepts taught throughout the course have relevant application to biomedical engineering in industry.

  • Related Handbook entries

    This subject contributes to the following:

    TypeName
    CourseMaster of Engineering
    Specialisation (formal)Biomedical with Business
    Specialisation (formal)Biomedical
  • 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.

    Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants

    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: 4 March 2025