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Research Project in Comp Biology Pt1 (SCIE90020)

Graduate courseworkPoints: 25On Campus (Parkville)

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Overview

Availability
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The research project option within the Master of Computational Biology will be available for students who have demonstrated a strong aptitude for research to perform a short research project under the direction of a supervisor. The research project will build on the skills obtained in the course. Students will determine the structure they follow in consultation with the project coordinator.

The following structures are possible:

Structure 1

  • Research Project in Comp Biology pt1 (12.5 points)
  • Research Project in Comp Biology pt2 (37.5 points)

Structure 2

  • Research Project in Comp Biology pt1 (25 points)
  • Research Project in Comp Biology pt2 (25 points)

Intended learning outcomes

At the completion of this subject students will have:

  • The ability to apply existing or new techniques to perform research under general direction
  • The ability to produce a research report containing results that could lead to publication
  • A sound preparation for future research in Computational Biology
  • The ability to present results in oral form at a career-ready level

Generic skills

  • Upon completion of this subject, students should gain the following generic skills: - problem-solving skills including the ability to engage with unfamiliar problems, identify relevant solution strategies and conduct research; - analytical skills through the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis; - presentation skills, both written and oral; and - time management skills: the ability to meet regular deadlines while balancing competing commitments.

Last updated: 3 November 2022

Eligibility and requirements

Prerequisites

Students must have:

• An average of at least 80% in associated coursework in the Master of Computational Biology; and agreement of a supervisor.
• Completed both MAST90128 Advanced Environmental Computation and MAST90126 Advanced Statistical Genomics

Enrolment in second semester of this subject is dependent on successful completion of first semester.

Code Name Teaching period Credit Points
MAST90128 Advanced Environmental Computation
Semester 2 (On Campus - Parkville)
 12.5
MAST90126 Advanced Statistical Genomics
Semester 2 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

None

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: 3 November 2022

Assessment

Additional details

The assessment requirements below are applicable to the entire 50 point Research Project:

  • A literature survey and research plan (of 2 pages) due week 8 of Research Project part 1 (hurdle; pass/fail)
  • An intermediate report on the progress in the research project due week 8 of Research Project part 2 (hurdle; pass/fail)
  • A 30 minute oral presentation on the content of the research project delivered in the final weeks of the teaching period in which the research report is due (10%
  • A research report. The research report is expected to be 40 – 60 pages in length, excluding references, appendices, figures and tables two weeks prior to the end of the final semester of enrolment in the full 50 point research (90%)

Last updated: 3 November 2022

Dates & times

  • March
    Mode of deliveryOn Campus (Parkville)
    Contact hoursRegular meetings with supervisor, one hour weekly or fortnightly. Distribution of time between specific tasks will be decided in negotiation with the supervisor, but an overall weekly commitment of 10 hours per week is expected (per 12.5 loading)
    Total time commitment340 hours
    Teaching period 4 March 2019 to 30 June 2019
    Last self-enrol date27 March 2019
    Census date31 March 2019
    Last date to withdraw without fail17 May 2019
    Assessment period ends30 June 2019
  • July
    Mode of deliveryOn Campus (Parkville)
    Contact hoursRegular meetings with supervisor, one hour weekly or fortnightly. Distribution of time between specific tasks will be decided in negotiation with the supervisor, but an overall weekly commitment of 10 hours per week is expected (per 12.5 loading).
    Total time commitment340 hours
    Teaching period29 July 2019 to 24 December 2019
    Last self-enrol date27 August 2019
    Census date31 August 2019
    Last date to withdraw without fail 1 November 2019
    Assessment period ends24 December 2019

Last updated: 3 November 2022

Further information

  • Texts

    Prescribed texts

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

Last updated: 3 November 2022