Project Risk Management

• • Project Risk - Introduction & Definition
  • Project Risk - Components & Classification
  • Introduction, Context, Identification and Qualitative Risk Analysis
  • Risk Treatment and Opportunity Management
  • Quantitative Risk Analysis - Sensitivity Analysis
  • Quantitative Risk Analysis - Introduction to Statistics and Probability
  • Quantitative Risk Analysis - Probability Distributions
  • Contingency
  • Quantitative Risk Analysis - Monte Carlo Simulation Workshop Exercise
  • Quantitative Risk Analysis - Decision Trees and Risk Communication
  • Judgement under Uncertainty: Bias
  • Risk Attitude, Utility Theory and Event and Fault Tree Analysis

No eligibility requirements

Additional requirements

• Other requirements - continual broadband access and email address

Analyse the concepts and theories of risk and uncertainty. Use tools and techniques to apply the project risk management processes of identification, analysis and treatment. Apply quantitative risk analysis techniques of sensitivity analysis and the Monte Carlo simulation. Review the concepts of bias, risk communication, risk attitude and opportunity management.

Please Note: If it’s your first time studying a Curtin University subject you’ll need to complete their compulsory ‘Academic Integrity Program’. It only takes two hours to complete online, and provides you with vital information about studying with Curtin University. The Academic Integrity Program is compulsory, so if it’s not completed your subject grades will be withheld.

Find out more about the Academic Integrity module.

• Risk Management Plan (40%)
• eTest (20%)
• Report (Project Budget) (40%)

For textbook details check your university's handbook, website or learning management system (LMS).