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Courses

FOUNDATIONAL PROJECT RISK MANAGEMENT
Presented by Dr David Hillson FAPM PMP FIRM, Director, Risk Doctor & Partners

Course Summary

This two-day course is structured around the process described in the best-practice “Project Risk Analysis & Management (PRAM) Guide” (second edition) from the UK Association for Project Management (APM) and aims to improve understanding of the purpose, principles and practice of project risk management and the essential requirements for risk to be managed successfully. Delegates will understand the benefits of using project risk management in order to control the effects of uncertainty whilst maximising benefits to the organisation.

The course covers the following main topics:

The course includes a significant proportion of practical exercises (up to 40%), with a worked example case study to allow delegates to practise the process.

Course Topics - Day One

  1. Introduction
    Overview and objectives of the course
    Delegate introduction
  2. Overview
    Definitions of risk
    Sources of uncertainty
    Definition of risk management
    Why use it?
  3. Initiation
    Defining the project
    Focusing the risk process
    The Risk Management Plan
  4. click to go to top of page Risk Identification
    How to use:
    Brainstorming
    SWOT Analysis
    Assumptions Analysis
    Prompt Lists and Check Lists
    Previous Experience

    Risk Exercise 1
  5. Risk Assessment
    Qualitative Assessment:
    Probability and impact
    Risk ranking
    Risk categorisation
    Recording and reporting risks

    Risk Exercise 2
  6. Risk Planning
    Risk Owners
    Risk Responses for both threats and opportunities

    Risk Exercise 3

Course Topics - Day Two

  1. Rationale for Risk Analysis
    The role of quantitative analysis in the overall risk management process
    Strengths and weaknesses
  2. Risk Modelling Basics
    Aims of risk analysis
    Techniques
    Monte Carlo simulation
    Developing a risk model
    Quantifying uncertainty

    Risk Exercise 4
  3. Advanced Risk Modelling
    Using advanced modelling techniques
    Stochastic branching
    Probabilistic branching
    Conditional branching
    Dependency
    Understanding outputs
    Using results
    S Curves
    Criticality analysis
  4. Risk Analysis Tools
    Why use them?
    Choosing a tool
  5. click to go to top of page Human Dimensions
    Why estimates vary
    Accounting for heuristics
    What is a good estimate
  6. Managing Risk Effectively
    Why use risk management?
    Benefits of risk management
    Downside of risk management
    Implementing risk management
  7. COURSE CONCLUSION

 

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