This hands-on course provides a detailed treatment of essential concepts for performing sound risk analyses. 80+ example files are provided that demonstrate the techniques covered in the course, and more. Every user of @RISK who is looking to become proficient as a practicing risk analyst should attend this course. This course will deliver the procedures and tools that will help you effectively control risk. The software used in the course is @RISK Industrial.

Day 1: Effectively Controlling Risk: The Basics

1. Overview and a Roadmap for Performing a Risk Analysis
2. Measuring Uncertainty: The Range and Shape of Key Uncertain Variables.
3. A step-by-step examination of @RISK using simple examples

Day 2: The Three Key Components for Producing a Sound Risk Analysis

1. Selecting a sound distribution:
   a) The basics
   b) Fitting distributions to data
   c) Fitting distributions to expert opinion
   
2. Modeling correlation (interdependence) between uncertain variables
3. Modeling uncertainty over time: sound ad hoc methods
4. Demonstration of the components within example models

Day 3: Building @RISK Models and Optimizing the Decision Variables

1. Building @RISK models step-by-step with example problems
2. Performing risk analysis with the models we build
3. Testing mitigation alternatives
4. Making a decision
5. Extending @RISK models: Finding the best values for decision cells in the models using RISKOptimizer.

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