CQUniversity Unit Profile.

Throughout the term, students complete a sequence of applied project-management activities during the weekly workshops and assemble the resulting artefacts into a portfolio workbook. The portfolio builds progressively from Week 3 to Week 9, with each workshop producing a self-contained artefact that demonstrates a specific project-management practice across the predictive, adaptive, AI, and sustainability approaches covered in the unit. Together, the artefacts trace a project from initial structuring through to delivery planning, stakeholder and ethical considerations.

This assessment is an individual assignment; however, some workshop activities are undertaken in groups. Students are required to individually document and report their contributions to each activity, and all submissions will be assessed on an individual basis. Core tools include Microsoft Project for the predictive planning artefact, supported by templates and worksheets provided for each workshop. Students are required to make four submissions, artefacts along with their reflection, during the Weeks 4, 6, 8 and 10.

The final portfolio is marked item by item. Each artefact is a separate, self-contained item with its own weight and its own criteria in the marking rubric, so that students can see exactly where each mark comes from, and a weak item is not tangled up with other items.

The 72-hour grace period does not apply to this assessment; hence, submissions must be made on Moodle by the specified deadline. The reattempt of this assessment is not allowed.

Week 10 Monday (25 Jan 2027) 6:00 pm AEST

Assessment marks and feedback will be released in accordance with the University's Assessment Policy and Procedure.

  Marking will be based on the quality and completeness of the following artefacts:

• Work breakdown structure and schedule (Wk 3) (15%)
• Stakeholders register, resourcing & risk register (Wk 4) (15%)
• Sprint-planning artefact (Wk 5) (15%)
• Product backlog & estimation (Wk 6) (15%)
• CPMAI AI-project framing (Wk 7) (10%)
• P5 Impact analysis (Wk 8) (20%)
• Hybrid project plan (Wk 9) (10%)

• Harvard (author-date)

This component of Assessment 2 is a group work that accounts for 40% of Assessment 2 and contributes 12% towards the overall unit marks.

Students work in groups consisting of 3-5 members through the early phases of a real AI project using the CPMAI methodology, exactly as practitioners do. Each group is assigned a different AI project case study. Using a structured CPMAI workbook, the group completes Phases I–III — Business Understanding, Data Understanding, and Data Preparation — translating a loosely defined business problem into a properly framed, data-ready AI project.

This assessment mirrors how the early phases of CPMAI are applied in practice: before a model is developed, a project team must frame the business problem, define success, and establish that suitable data exists and is ready. The workbook structures exactly that problem-framing and data-readiness work. It develops students' ability to select and apply a context-appropriate delivery approach and to apply project management practice to a real implementation plan, while the business case, success measures, and Trustworthy-AI requirements draw in sustainable value and professional ethics.

Each group completes the workbook sections for the three phases:

• Phase I: Business Understanding. Define the business problem and objectives; specify measurable business and AI success criteria; construct a cost-benefit analysis; identify the relevant AI pattern; outline resource and schedule requirements; and document Trustworthy-AI requirements (data privacy, transparency, fairness, accountability) and the sustainability implications of the proposed solution.
• Phase II: Data Understanding. Identify and describe the data the project would need; explore what is available against what is required; and assess data quality, surfacing gaps, risks, and assumptions.
• Phase III: Data Preparation. Determine which data to select and why; set out the cleaning, enhancement, and labelling the data would require; and justify these choices in light of the Phase I objectives.

Throughout, the group's reasoning must be grounded in their specific case study. Generic, copy-the-example answers will not score well.

The 72-hour grace period does not apply to this assessment; hence, submissions must be made on Moodle by the specified deadline. The reattempt of this assessment is not allowed.

Week 11 Monday (1 Feb 2027) 6:00 pm AEST

Assessment marks and feedback will be released in accordance with the University's Assessment Policy and Procedure.

Marks distribution (Scaled to 12% unit marks):

• Phase I: Business Understanding (30%) - Frames the business problem sharply; sets specific, measurable success criteria; presents a credible cost-benefit; correctly identifies the AI pattern; and articulates Trustworthy-AI and sustainability requirements that fit the case.
• Phase II: Data Understanding (20%) - Identifies the data the solution genuinely needs; describes it accurately; and assesses quality, gaps, and risks honestly rather than superficially.
• Phase III: Data Preparation (20%) - Selects data with clear justification; sets out realistic cleaning, enhancement, and labelling steps; and ties preparation choices back to the Phase I objectives.
• CPMAI application & coherence (15%) - Applies the methodology faithfully; the three phases connect into one consistent narrative; uses correct terminology.
• Professional presentation (15%) - Clear, well-organized, complete; suitable as a real project artifact.

• Harvard (author-date)

This component of Assessment 2 is a group presentation that accounts for 60% of Assessment 2 and contributes 18% towards the overall unit marks.

As part of this assessment, each group is required to submit a set of presentation slides alongside the completed workbook. In addition, all group members must participate in an oral presentation that highlights the key aspects of the workbook.

The presentation is intended to provide each group member with an opportunity to demonstrate their understanding of project management concepts, reflect on the knowledge and skills developed throughout the term, and showcase effective presentation and communication skills. All group members are expected to contribute equally to the preparation and delivery of the presentation.

• You are required to deliver oral presentations online via Zoom during the workshop in Weeks 11 and 12.
• The presentation must cover all aspects of the workbook and be limited to 15 slides, excluding the title slide and reference list.
• All group members must attend the workshop and contribute equally to the oral presentation.
• The presentation should be 14 to 16 minutes in duration, followed by questions and answers.
• Presentations that finish significantly under or over the allotted time may incur a mark deduction.
• Students who are absent from the oral presentation will receive zero marks for this assessment component.
• Oral presentations will be assessed and graded individually.

Week 11 Monday (1 Feb 2027) 6:00 pm AEST

Assessment marks and feedback will be released in accordance with the University's Assessment Policy and Procedure.

Presentation - Marks distribution (Scaled to 18% unit marks):

• Quality and relevance of the presentation content (group marks) - 20%
• Quality of delivery and evidence of understanding of the presentation content (individual marks) - 50%
• Response to questions during Q & A (individual marks) - 20%
• Presentation manners: tone, eye contact, fluency, etc. (individual marks) - 5%
• Timing including Q&A (group marks) - 5%

• Harvard (author-date)

This assessment is an individual assignment worth 20% of the unit marks. The online quiz will evaluate your knowledge and understanding of topics and material covered during the term.

• Only one attempt will be allowed for the quiz.
• You will be given a specific timeframe to complete the quiz.
• The quiz will consist of 30 questions with a time limit of 40 minutes. 
• Once you start the quiz, the timer will begin to count down and cannot be paused.
• You must finish your attempt before it expires (open attempts will automatically be submitted).
• The quiz will cover the content delivered during the weekly workshops, recommended readings, etc. 
• The quiz will consist of multiple-choice, true/false, short-answer and/or scenario-based questions. 
• Questions will be randomly drawn from a large question bank and presented to each student. 
• The quiz will be conducted as an open-book assessment, allowing students to refer to relevant learning material during the attempt.
• The 72-hour grace period does not apply to this assessment; hence, the quiz must be completed within specified time frame.
• The reattempt of this assessment is not allowed.

Week 12 Friday (12 Feb 2027) 6:00 pm AEST

Marks will be released after online quiz has been closed.

• Each question carries equal marks, and there are no penalties for incorrect answers.
• The online quiz will be marked by the Moodle computer program upon submission.

• Harvard (author-date)