Agile and AI in Project Management

General Information

This subject introduces the principles and practices of Agile project management, enabling students to work effectively as team members in Agile environments. It examines Agile frameworks such as Scrum and Kanban and compares Agile with traditional and hybrid project delivery approaches across project and product lifecycles. Students apply Agile methods using digital and AI tools, with emphasis on adaptive planning, teamwork, risk management, quality practices, and continuous improvement. The subject also explores the role of artificial intelligence, governance, and ethical considerations in contemporary Agile and technology-enabled projects, preparing students for professional practice and certification pathways.

  • Academic unit: Faculty of Society & Design
    Subject code: SDPM11-100
    Subject title: Agile and AI in Project Management
    Subject level: Undergraduate
    Semester/Year: September 2026
    Credit points: 10.000
  • Timetable: https://bond.edu.au/timetable
    Delivery mode: Standard
    Workload items:
    • Seminar: x12 (Total hours: 36) - Weekly seminar
    • Personal Study Hours: x12 (Total hours: 84) - Recommended study hours
    Attendance and learning activities: N/A
  • Prescribed resources:

    Books

    • Project Management Institute (2017). Agile Practice Guide. 1st, Newton Square, PA Project Management Institute

    Journals

    After enrolment, students can check the Books and Tools area in iLearn for the full Resource List.
    iLearn@Bond & Email:
    Class recordings:

    The primary workload items for this subject will be recorded for the purpose of revision.

    These recordings are not a substitute for attending classes. Students are encouraged to attend all sessions as there may be instances where a session is not recorded due to the presence of a guest speaker, the inclusion of sensitive or protected content, or technical issues. Students are advised not to rely solely on these recordings for revision.

    See the Recording policy for further details.
Academic unit: Faculty of Society & Design
Subject code: SDPM11-100
Subject title: Agile and AI in Project Management
Subject level: Undergraduate
Semester/Year: September 2026
Credit points: 10.000

Enrolment requirements

Requisites:

Nil
Restrictions:

Nil

Assurance of learning

Assurance of Learning means that universities take responsibility for creating, monitoring and updating curriculum, teaching and assessment so that students graduate with the knowledge, skills and attributes they need for employability and/or further study.

At Bond University, we carefully develop subject and program outcomes to ensure that student learning in each subject contributes to the whole student experience. Students are encouraged to carefully read and consider subject and program outcomes as combined elements.

Program Learning Outcomes (PLOs)

Program Learning Outcomes provide a broad and measurable set of standards that incorporate a range of knowledge and skills that will be achieved on completion of the program. If you are undertaking this subject as part of a degree program, you should refer to the relevant degree program outcomes and graduate attributes as they relate to this subject.

Find your program

Subject Learning Outcomes (SLOs)

On successful completion of this subject the learner will be able to:

  1. Apply the principles of Agile project management, comparing Agile approaches with traditional project delivery methods and the role of digital technologies and AI in contemporary practice.
  2. Apply Agile frameworks and practices (such as Scrum and Kanban) using digital project management tools to plan, coordinate, and manage simple project scenarios.
  3. Apply Agile planning, estimation, and risk management to monitor progress and value delivery.
  4. Evaluate risks, governance considerations, and ethical implications of Agile and technology-enabled project delivery, including the use of AI in regulated or complex environments.
  5. Communicate effectively in Agile project settings.
  6. Collaborate with team members to deliver Agile project outcomes.

Generative Artificial Intelligence in Assessment

The University acknowledges that Generative Artificial Intelligence (Gen-AI) tools are an important facet of contemporary life. Their use in assessment is considered in line with students’ development of the skills and knowledge which demonstrate learning outcomes and underpin study and career success. Instructions on the use of Gen-AI are given for each assessment task; it is your responsibility to adhere to these instructions.

  • Type Task % Timing* Outcomes assessed AI category
    Computer-Aided Examination (Closed) This final examination assesses students’ understanding of Agile project management principles, frameworks, and practices covered throughout the subject. 30.00% Final Examination Period 1, 2, 3, 4
    Written Report Students complete the first part of an agile project plan (formative assessment with individual reflection). Students then present their plan for approval to proceed (Role Play). 30.00% Week 5 2, 3, 5, 6
    Written Report Students complete the second part of the assignment (e.g., Agile project plan including with individual reflection). Students then present their plan for approval to proceed (Role Play). 40.00% Week 11 2, 3, 5, 6
    • * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
    • C = Students must reach a level of competency to successfully complete this assessment.

    AI Categories

    • Ai Prohibited: Learning to develop AI-free knowledge and skills.

    • Ai Supported: Learning with the help of AI as directed.

    • Ai Focussed: Learning AI expertise and mastery as directed.

    Refer to the assessment task sheet for specific AI instructions and review the Bond University Gen-AI Guide.

  • Assessment criteria

    High Distinction 85-100 Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking.
    Distinction 75-84 Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas.
    Credit 65-74 Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above.
    Pass 50-64 Usually awarded to students whose performance meets the requirements set for work provided for assessment.
    Fail 0-49 Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines.

    Quality assurance

    For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.

Type Task % Timing* Outcomes assessed AI category
Computer-Aided Examination (Closed) This final examination assesses students’ understanding of Agile project management principles, frameworks, and practices covered throughout the subject. 30.00% Final Examination Period 1, 2, 3, 4
Written Report Students complete the first part of an agile project plan (formative assessment with individual reflection). Students then present their plan for approval to proceed (Role Play). 30.00% Week 5 2, 3, 5, 6
Written Report Students complete the second part of the assignment (e.g., Agile project plan including with individual reflection). Students then present their plan for approval to proceed (Role Play). 40.00% Week 11 2, 3, 5, 6
  • * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
  • C = Students must reach a level of competency to successfully complete this assessment.

AI Categories

  • Ai Prohibited: Learning to develop AI-free knowledge and skills.

  • Ai Supported: Learning with the help of AI as directed.

  • Ai Focussed: Learning AI expertise and mastery as directed.

Refer to the assessment task sheet for specific AI instructions and review the Bond University Gen-AI Guide.

Study Information

Policy on late submission and extensions

A late penalty will be applied to all overdue assessment tasks unless an extension is granted by the subject coordinator. The standard penalty will be 10% of marks awarded to that assessment per day late with no assessment to be accepted seven days after the due date. Where a student is granted an extension, the penalty of 10% per day late starts from the new due date.

Subject curriculum

Approved on: May 15, 2026. Edition: 1
Last updated: Jul 29, 2026