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Theory and Practice of Risk Analysis


  • Theory and Practice of Project Scheduling

Duration: 12-24 hours

  1. The 3-point estimate;
  2. The beta distribution and normal distribution;
  3. The beta-Pert distribution;
  4. The law of large numbers;
  5. The Monte-Carlo Analysis in Excel;
  6. Calculating the confidence level of making a deterministic schedule date;
  7. Estimating the P50, P80, P90…;
  8. Developing a risk register;
  9. Probabilistic branching;
  10. The risk driver method: A more advanced method for performing schedule risk analysis