Primavera Risk Analysis

Course Overview

This course provides participants with software user training for the Primavera® Risk Analysis solution.

The course participants will discover the skills necessary to manage risk through risk modelling techniques.

Classes are facilitated by experienced project professionals who encourage open discussions to enable the participants to apply software knowledge to their own workplace.

Completion of the course will equip the participant with a working knowledge of Primavera® Risk Analysis and how it has been designed to address the requirements of Project Risk Management.

Duration: 2 days
Delivery Mode:Instructor Led, Classroom Based
PDU’s to Members of the Project Management Institute (PMI®): 14
Cost: $2530 AUD inc GST
Delivery Location: Australia Wide, United Kingdom, Hong Kong

Pre-requisites

Need to read and write English.

Participants who wish to undertake this training course should have:

• The ability to use personal computers with a good understanding of the operating system and Microsoft Office products
• A sound working knowledge of Primavera P6 software
• Prior knowledge of risk management

Recommended pathway includes undertaking:

• Practical Application of Risk Management

Suitable For

This course is ideal for Planners, Schedulers, Business Analysts, Project Managers, Project Leaders and Senior Project Personnel regardless of business of industry sector.

Course Agenda

Day 1

• Introduction and Overview
• Overview of Risk Management
• Understanding Risk
• Risk Methodology
• PRA Interface
• Importing a Schedule
• Schedule Review
• Creating a Schedule
• Using three-point estimates for activities
• Running a quantitative risk analysis
• Quick Risk and Templates
• Cost & Resource Uncertainty
• Probabilistic Branching

Day 2

• Risk Events
• Using the Risk Register
• Pre-Mitigation Plan
• Post-Mitigation Plan
• Understanding Results (Distribution Analyser)
• Understanding Results (Histograms, Tornado Charts)
• Understanding Project Drivers (Duration Sensitivity and Criticality)
• Correlation
• Probabilistic Cash Flow
• Weather Modelling

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• Course Content
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