ETW2472 - Project management analytics - 2019

Project management analytics introduces students to a data-driven approach to making rational and effective project decisions. This unit covers the essential concepts, tools and analytical techniques for effective project management according to the global industry standards set by the Project Management Institute. This will enable students to learn broad perspectives of managerial skills and knowledge required to initiate, implement, and evaluate successful projects. Students will be trained to understand and apply analytics-based project metrics to measure, observe, and analyse project performance objectively and make rational project decisions with analytical certainty. Throughout the unit, students will also employ relevant information technology and project management software to achieve quality outcomes that underpin and reinforce the conceptual and analytics perspectives of project management in businesses.

The learning goals associated with this unit are to:

1. introduce the data-driven project management framework
2. introduce analytics concepts, tools and techniques for effective project management
3. demonstrate the applications of analytical techniques in project management decision-making
4. identify and demonstrate, with examples, the processes of monitoring and controlling the uncertainty of project schedule and project cost, and to accurately estimate the same with analytics-driven prediction
5. describe the project completion process
6. apply tools and principles to project management through use of information technology, setting quality standards, risk analysis, and identifying obstacles to project success.

Within semester assessment: 50% + Examination: 50%

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. The unit requires on average four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information