Risk Analysis Training Program FoodRisk.Org

Qualitative and Quantitative Methods for Food Safety Risk Assessment - Online

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Course Description

All food safety risk assessment models make extensive usage of qualitative and quantitative risk assessment tools, techniques and topics. This course introduces and explores some of the more useful topics, tools and techniques used by risk assessors. Joining with food safety professionals from around the world in group exercises you will gain hands-on experience with many of these methods.

The course has three units:

Overview of Topics

  • Module 1: Introduction
  • Module 2: Risk Characterization
  • Module 3: Distinguishing Uncertainty and Variability
  • Module 4: Review of Probability Basics
  • Module 5: Introduction to Probability Distributions
  • Module 6: The Monte Carlo Process 
  • Module 7: Choosing a Probability Distribution for Your Model Variables Qualitative Risk Assessment Tools and Techniques
  • Module 8: Screening Methods
  • Module 9: Enhanced Criteria Hazard Ranking
  • Module 10: Operational Risk Management, Risk Matrix, Risk Score, Hierarchical
  •  Holographic Modeling, Increasing or Decreasing Risk Quantitative Risk Assessment Tools and Techniques
  • Module 11: Probabilistic Scenario Analysis
  • Module 12: Sensitivity and Importance Analysis for Risk Assessment
  • Module 13: Building a Risk assessment Model Each module has several topics.

This is a new and exciting field. We welcome your feedback and suggestions for improving this course as we, an international food safety community, try to bring the best practice experience and thoughts on risk management and risk analysis to one another.

Learning Objectives

  • Use @RISK and Precision Tree software at an intermediate level
  • Discuss the elements of an effective risk characterization
  • Define, distinguish and discuss the importance of uncertainty and variability
  • Calculate basic probability estimates
  • Identify the probability distributions most useful to a risk assessor
  • Identify and discuss the two steps of the Monte Carlo process
  • Choose a proper probability distribution given some data
  • List the elements of a good screening process
  • Apply the enhanced criteria hazard ranking method
  • Use one or more qualitative risk assessment techniques
  • Construct a simple event tree model
  • List and describe several methods of sensitivity analysis
  • Identify the steps for building a good risk assessment model