成人大片

COMP SCI 7098 - Master of Computing & Innovation Project

North Terrace Campus - Semester 1 - 2023

This course offers an introduction to the development and management of large software projects. Topics covered in this course include the application of: software specification, risk analysis, project management, quality assurance and the study of ethical considerations.

  • General Course Information
    Course Details
    Course Code COMP SCI 7098
    Course Master of Computing & Innovation Project
    Coordinating Unit Computer Science
    Term Semester 1
    Level Postgraduate Coursework
    Location/s North Terrace Campus
    Units 9
    Contact Up to 3 hours per week
    Available for Study Abroad and Exchange N
    Restrictions Available to M Comp Inn students only
    Assessment Pitch presentation, progress report and project demonstration (group), individual final report
    Course Staff

    Course Coordinator: Dr Cruz Izu

    Lecturer  Dr Cruz Izu

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    This course offers an introduction to the development and management of large software projects.
    The aims of this course are listed below
    1.  The development of skills in proposing and presenting new project ideas.
    2.  The development of skills in project management, risk assessment, and planning.
    3.  The development of skills in software development and deployment.
    4.  The development of skills in software demonstrating and presenting software. 
    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)

    Attribute 1: Deep discipline knowledge and intellectual breadth

    Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.

    1-4

    Attribute 2: Creative and critical thinking, and problem solving

    Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.

    2, 3

    Attribute 3: Teamwork and communication skills

    Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.

    1, 2, 4

    Attribute 8: Self-awareness and emotional intelligence

    Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.

    2,3
  • Learning Resources
    Required Resources
    Lecture slides, assignment specifications and additional materials will be provided online at the MCI Project course at:

    There is no required textbook for this course.
    Online Learning
    We will use MyUni forums to announce all changes to the course, assesment milestones, and tutorials.
    You are therefore strongly advised to register and  read all mail that comes from this source — do not ignore it!
  • Learning & Teaching Activities
    Learning & Teaching Modes
    The course will be taught using a variation of team-based learning, with lecture/demonstration sessions interspersed with online videos and forum discussions. There will also be tutorial classes to support rehearshals of  oral presentations/demos and provide opportunity for peer feeback.
    Workload

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

    This course will involve significant practical work based around a software project. Work for this course will include, in lecture exercises, practical presentations, meetings with project supervisors, written reports, online planning artefacts, production of a software product and live software demonstrations.

    The contact time for courses varies. For a full time student, you should expect to spend around 40-48 hours per week on your studies.
    This course is 9 units, so it  represents 30 to 32 hours per week.

    As you will have 2 or 3  contact hours per week. You should spend another 25-30 hours on study, preparation, meetings  and project work.
    Learning Activities Summary
    There will be 12 hours of weekly lectures during the course, covering the
    following topics:
    • Course Outline
    • Preparing a Pitch
    • Constructing a Business Case
    • Describing your approach
    • Software Project Management
    • Testing and Software Quality
    • Introduction to Ethics
    • Presenting Project Outcomes

    Advisor Meetings
    You will be allocated an advisor for your project. You will be expected to have a short meeting with your advisor in the first week and at least once before each week an item of assessment is due to update him or her on your progress. You can also use these meetings to receive feedback on artifacts, draft presentations or reports that you have produced. To make such feedback useful you are expected to send a copy of the item to your supervisor at least a day prior to the meeting. Of course, the more carefully refined your draft item is the more useful the feedback will be to you.

    You will also be expected to maintain a project management activity as an aid for both you and your supervisor to monitor the project’s progress.
  • 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
    Assessment Description Due Date Weight
    Pitch Oral presentation to sell your project concept Week 4 10%
    Business Case Document supporting business case for project + Plan for milestone 1  Week 5 10%
    Milestone point Complete first iteration (agile model) - Prototype or key components completed and evaluated  plus  Plan for  second iteration  Week 8  15%
    Project management (first half) Fill short team summary + Tracking project progress  (record of minutes and time allocations) and set-up team issues.    Continuous from Week 2 to Week 6 5%
    Testing Plan  Document each iteration testing plan and prepare final product testing Week10 5%
    Project Management (second half) Tracking project progress and  key issues,  (record of minutes and time allocations) Individual summary at end of week 12 Continuous from Week 7 to Week 12 10%
    Final Software Demonstration Presentation of project outcomes +  live software demonstration Week 13 15%
    Final Report Document summarizing project outcomes Week 14 30%

    Penalty for Late Submission of Assessment Tasks
    You should hand your coursework in on time. If you hand in your work late, your mark will be capped, based on how many days late it is.
    - 1 day late – mark capped at 75%
    - 2 days late – mark capped at 50%
    - 3 days late – mark capped at 25%
    - more than 3 days late – no marks available

    Students may apply for extensions to their written and online assignment work by emailing the course coordinator, prior to the due date.
    They must provide evidence of impairment to support their request for an extension.
    Assessment Related Requirements
    To pass, you must obtain a passing mark overall and achieve at least 40% for the final report. If your mark for this component is less than 40%, your overall mark will be capped at 44F.
    Assessment Detail
    See "Assessment Summary" above.
    Submission
    All written documents shall be submitted through the course forum.
    Students will receive feedback on all the presentations, demonstrations and written work.
    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 .

  • 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鈥檚 disciplinary procedures.

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