
The student will better understand the role of probabilities in the language of making intelligence estimates.
The student will know how to apply the three rules (the events must be mutually exclusive, collectively exhaustive, and probabilities of the branches must equal to 1) for constructing a probability tree.
The student will be able to construct probability trees to structure and aid their analysis of several different problem sets.
The student will understand the role of options, outcomes, and perspectives in utility analysis.
The student will be able to complete all the steps in constructing a utility tree to aid their intelligence analysis.
The student will be able to construct and apply utility trees for non-monetary problems or problems that aren't objectively quantifiable.
The student will be able to convert a probability tree into a matrix and apply the concepts of utility analysis to problems that are better visualized through a different structure.
The student will be able to apply the concepts of utility analysis to analyze a problem from multiple perspectives.
The student will be able to perform multiple classes of outcomes utility analysis.
After this course the student will be able to use MS Excel and Bayes Rule to calculate the probability of an event given one item of evidence.
After this course the student will be able to use MS Excel to calculate the probability of an event with more than one piece of evidence using the total probability formulation of Bayes Rule.
Given a specific example, use the Total Probability Bayes Rule to solve a problem.
Given a specific example, use the Multiple Hypothesis Testing version of Bayes Rule to solve a problem.
The views expressed in this course are the instructor's alone and do not reflect the official position of the U.S. Government, the Intelligence Community, or the Department of Defense.
This course builds on the Level 1 and Level 2 courses on Intelligence Analysis to teach the student how to think in probabilities and structure their analysis to produce predictive intelligence. Upon completion of the course, the graduate will be able to use MS Excel to apply the Bayes Theorem to participate in forecasting tournaments and make specific intelligence predictions to prevent surprise.