OPO5000 · Project-based organisations and AI transformation

Overview

This unit focuses on the Project Management Office (PMO) and the emerging Transformation Management Office (TMO). You will explore project, program and portfolio alignment with organisational strategy and value creation. You will learn about the structure, leadership, culture and governance of project-based organisations, with a focus on AI-driven transformation. You will gain knowledge and skills to critically assess, design, recommend and lead projects to support effective governance in complex technology-driven organisations.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Teaching period 1: analyse and evaluate how project-based organisations develop policy and strategy, and formulate structures, including program and portfolio management, to link projects to corporate strategy Teaching period 5: analyse how project-based organisations develop policy, strategy, culture and governance structures to align projects, programs and portfolios in complex organisational contexts
2. Teaching period 1: design and communicate suitable advanced governance structures that support the development of a program framework and culture to critically manage risk and uncertainty Teaching period 5: design advanced governance and leadership approaches for projects, programs and portfolios to manage risk and uncertainty in complex organisational contexts
3. Teaching period 1: assess alignment with organisational objectives and strategic goals, and develop, document and prepare a program management business case for an organisation. Teaching period 5: evaluate project, program and portfolio alignment with organisational objectives and strategic goals in complex AI-driven transformation contexts.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.