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Research Project in Comp Biology Pt2 (SCIE90023)
Graduate courseworkPoints: 25On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Semester 1 (Extended) Semester 2 (Extended) |
---|---|
Fees | Look up fees |
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.
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
- The ability to present results in oral form at a career-ready level.
- A sound preparation for future research in Computational Biology
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.
Enrolment in second semester of this subject is dependent on successful completion of first semester.
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
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
A literature survey and research plan
| Week 8 of Research Project part 1 | N/A |
An intermediate report on the progress in the research project Hurdle requirement: Pass/Fail | Week 8 of Research Project part 2 | N/A |
An oral presentation on the content of the research project
| 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% |
Additional details
The assessment requirements above are applicable to the entire 50 point Research Project.
Last updated: 3 November 2022
Dates & times
- Semester 1 (Extended)
Mode of delivery On Campus (Parkville) Contact hours Regular 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 commitment 340 hours Teaching period 2 January 2020 to 30 June 2020 Last self-enrol date 10 January 2020 Census date 30 April 2020 Last date to withdraw without fail 5 June 2020 Assessment period ends 30 June 2020 - Semester 2 (Extended)
Mode of delivery On Campus (Parkville) Contact hours Regular 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 commitment 340 hours Teaching period 1 July 2020 to 24 December 2020 Last self-enrol date 10 July 2020 Census date 21 September 2020 Last date to withdraw without fail 16 October 2020 Assessment period ends 24 December 2020
Additional delivery details
This subject is delivered either partially or fully in-person in Second Half Year 2020. Please ensure you are able to attend any essential in-person requirements or speak to Stop 1 about alternative subject options.
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