Computer Science Research Project Pt1 (COMP90063)

Graduate courseworkPoints: 50Dual-Delivery (Parkville) and On Campus (Parkville)

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Overview

Availability
Semester 1 (Extended) - Dual-Delivery
Semester 2 (Extended) - On Campus
FeesLook up fees

Students undertake a research investigation under the supervision of members in the School of Computing and Information Systems academic staff.

The subject continues over three consecutive study periods with students enrolling in a 'Part 1' component, a 'Part 2' component and a 'Part 3' component, for a combined total enrolment of 75 credit points. A mark for the subject/s will not be awarded until the entire 75 points of enrolment has been completed.

Information provided on this page applies to all 'parts' of the subject:

Computer Science Research Project Pt 1

  • COMP90060 (12.5 points)
  • COMP90061 (25 points)
  • COMP90062 (37.5 points)
  • COMP90063 (50 points)

Computer Science Research Project Pt 2

  • COMP90064 (12.5 points)
  • COMP90065 (25 points)
  • COMP90066 (37.5 points)
  • COMP90067 (50 points)

Computer Science Research Project Pt 3

  • COMP90068 (12.5 points)
  • COMP90069 (25 points)
  • COMP90070 (37.5 points)
  • COMP90071 (50 points)

Intended learning outcomes

On completion of the sequence of Research Project subjects, a graduate of the MSc(CS) is expected to:



  • Have attained research maturity, including the ability to independently carry out a research survey, and plan, execute, interpret and report on a computational experiment OR demonstrate mastery of the mathematical and logical techniques required for research in theoretical computer science
  • Have the ability to communicate computer science research.

Generic skills

On completion of the sequence of Research Project subjects, students should have developed the following generic skills:

  • Have the ability to demonstrate advanced independent critical enquiry, analysis and reflection
  • Have a strong sense of intellectual integrity and the ethics of scholarship
  • Have in-depth knowledge of their specialist discipline(s)
  • Reach a high level of achievement in writing, project activities, problem-solving and communication
  • Be critical and creative thinkers, with an aptitude for continued self-directed learning
  • Be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines
  • Have a set of flexible and transferable skills for different types of employment.

Last updated: 31 January 2024

Eligibility and requirements

Prerequisites

All of

Code Name Teaching period Credit Points
COMP90049 Introduction to Machine Learning
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
COMP90015 Distributed Systems
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
 12.5

AND

One of

Code Name Teaching period Credit Points
COMP90048 Declarative Programming
Semester 1 (Dual-Delivery - Parkville)
 12.5
COMP30020 Declarative Programming
Semester 2 (On Campus - Parkville)
 12.5

AND

Note: the following subject/s can also be taken concurrently (at the same time)

Code Name Teaching period Credit Points
COMP90044 Research Methods
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

Code Name Teaching period Credit Points
COMP90060 Computer Science Research Project Pt1
Semester 1 (Extended) (Dual-Delivery - Parkville)
Semester 2 (Extended) (On Campus - Parkville)
 12.5
COMP90061 Computer Science Research Project Pt1
Semester 2 (Extended) (On Campus - Parkville)
Semester 1 (Extended) (Dual-Delivery - Parkville)
 25
COMP90062 Computer Science Research Project Pt1
Semester 2 (Extended) (On Campus - Parkville)
Semester 1 (Extended) (Dual-Delivery - Parkville)
 37.5

COMP60001 Computer Science Research Project

COMP60002 Computer Science Research Project

COMP60003 Computer Science Research Project

COMP60004 Computer Science Research Project

Recommended background knowledge

COMP30026 Models of Computation

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: 31 January 2024

Assessment

DescriptionTimingPercentage

A written thesis

  • 25,000
90%

An oral presentation of their project work. The thesis will be examined internally within the Department of Computing and Information Systems.

Prior to submission of the thesis10%

Additional details

For the combined 75 points of Computer Science Research Project subject/s

Last updated: 31 January 2024

Dates & times

  • Semester 1 (Extended) - Dual-Delivery
    CoordinatorJey Han Lau
    Mode of deliveryDual-Delivery (Parkville)
    Contact hoursStudents are required to attend regular meetings with their supervisor, and to participate in the academic activities of the Department of Computing and Information Systems.
    Total time commitment800 hours
    Teaching period27 February 2023 to 30 June 2023
    Last self-enrol date10 March 2023
    Census date31 March 2023
    Last date to withdraw without fail 5 May 2023
    Assessment period ends30 June 2023

    Semester 1 (Extended) contact information

    jeyhan.lau@unimelb.edu.au

  • Semester 2 (Extended) - On Campus
    CoordinatorJey Han Lau
    Mode of deliveryOn Campus (Parkville)
    Contact hoursStudents are required to attend regular meetings with their supervisor, and to participate in the academic activities of the Department of Computing and Information Systems.
    Total time commitment800 hours
    Teaching period24 July 2023 to 24 December 2023
    Last self-enrol date 4 August 2023
    Census date31 August 2023
    Last date to withdraw without fail22 September 2023
    Assessment period ends24 December 2023

    Semester 2 (Extended) contact information

    jeyhan.lau@unimelb.edu.au

Time commitment details

Students are required to undertake approximately 800 hours of investigative work, over an 18 week period.

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: 31 January 2024

Further information

  • Texts

    Prescribed texts

    None

  • Related Handbook entries

    This subject contributes to the following:

    TypeName
    CourseMaster of Science (Computer Science)
  • 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.

    Additional information for this subject

    Subject coordinator approval required

  • 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: 31 January 2024