COMP SCI 7099B - Master Computer Science Research Project - Part B

North Terrace Campus - Semester 1 - 2017

The project is an advanced research project conducted individually under the guidance of an academic supervisor. It continues over two semesters and gives students the chance to investigate and contribute to an area at the cutting edge of computer science. Project topics vary from year to year depending on staff availability and research focus.

  • General Course Information
    Course Details
    Course Code COMP SCI 7099B
    Course Master Computer Science Research Project - Part B
    Coordinating Unit School of Computer Science
    Term Semester 1
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Units 6
    Available for Study Abroad and Exchange N
    Prerequisites COMP SCI 7007; COMP SCI 7099A with a grade of Credit or higher in previous semester
    Restrictions Available to M Comp Sci students only
    Course Description The project is an advanced research project conducted individually under the guidance of an academic supervisor. It continues over two semesters and gives students the chance to investigate and contribute to an area at the cutting edge of computer science. Project topics vary from year to year depending on staff availability and research focus.
    Course Staff

    Course Coordinator: Dr Javen Shi

    Course Timetable

    The full timetable of all activities for this course can be accessed from Course Planner.

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:

     
    1 Gain exposure to research in an area of computer science.
    2 Learn to interpret and assess literature related to a current area of research.
    3 Learn how to experiment with algorithms whose properties are not known in advance.
    4 Learn to implement complex software at the state of the art in computer science.
    5 Learn to present work to an audience, both in written form and orally.
    6 Learn to work and plan independently

     
    University Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    University Graduate Attribute Course Learning Outcome(s)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    1,2,3,4
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    2,3,4
    Teamwork and communication skills
    • developed from, with, and via the SGDE
    • honed through assessment and practice throughout the program of studies
    • encouraged and valued in all aspects of learning
    5,6
    Career and leadership readiness
    • technology savvy
    • professional and, where relevant, fully accredited
    • forward thinking and well informed
    • tested and validated by work based experiences
    1,2,3,4,5,6
    Self-awareness and emotional intelligence
    • a capacity for self-reflection and a willingness to engage in self-appraisal
    • open to objective and constructive feedback from supervisors and peers
    • able to negotiate difficult social situations, diffuse conflict and engage positively in purposeful debate
    5,6
  • Learning Resources
    Recommended Resources
    Resources are recommended on an individual basis by project supervisors. A dedicated computer laboratory is available at room 4.61, Ingkarni Wardli Building. Specialised computing requirements should be arranged through the project supervisor.
    Online Learning
    A Moodle forum (“Honours and Master Computer Science Project”) is available for announcements and discussion about the MCS project:

    http://forums.cs.adelaide.edu.au/
  • Learning & Teaching Activities
    Learning & Teaching Modes
    The MCS project is intended to provide an introduction to computer science research in the area chosen by the student. Students learn by a combination of reading research papers, discussing problems with their supervisor and peers, writing experimental programs and presenting their work both orally and in a written report.
    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    A MCS student is expected to spend 20 hours per week on his or her project in addtion to regular meetings with supervisor(s).
    Learning Activities Summary
    The MCS Project B consists of several stages, including:

    1) Development and further research and experimentation
    2) Poster presentation and demonstration of research outcomes
    3) Thesis writing

    The specific content of each step is highly project dependent, and should be discussed with the project supervisor.
    Small Group Discovery Experience
    The project typically involves one student and one (or more) academic staff member.
  • Assessment

    The University's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    Project part B consists of the following major assessment components:

    1) Poster and demonstration (10% of the overall assessment) [CBOK Areas: 2,4,5,7,8,9,10,11]
    2) Final project report (60% of the overall assessment) [CBOK Areas: 1,2,3,4,5,6,7,8,9,10,11]

    CBOK Legend

    1.Abstraction
    2.Design
    3.Ethics
    4.Interpersonal Communication
    5.Societal Issues
    6.History & Status of the Discipline
    7.Hardware & Software
    8.Data & Information
    9.Programming
    10.Human Computer Interfaces
    11.Systems Development
    Assessment Related Requirements
    An overall mark of 50% or greater is required to pass this course.
    Assessment Detail
    The MCS Project is assessed primarily on the final report written by the student. The report is marked by two examiners and verified by all academic staff.
    Submission
    Project submission are made through the Moodle forum provided for the course.

    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through Access Adelaide.

  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
  • Fraud Awareness

    Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.

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