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Part A- Based on the course design, and learning objectives.

Part A-

Based on the course design, and learning objectives.  Please share your comments, concerns, frustrations, and highlights. 

  • Did the course meet your expectations? Yes 
  • How was the workload? The work overload was perfect. 
  • Do you feel you will apply some of the concepts learned in the course (if so, which ones) Yes in time. 

Part B 

Based on your Module topics, what did you find new and interesting?  And what appeared to be a review?  Also, identify at least one discussion post you found interesting, helpful, or beneficial (and why). 

 

Topics covered in this module

  • Problem formulation
  • Decision analysis without probabilities
  • Decision analysis with probabilities
  • Decision analysis with sample information
  • Computing branch probabilities with Bayes’ Theorem
  • Utility theory

Learning Objectives

By the end of this module, students should be able to:

  • Explain payoff tables and decision trees
  • Identify different approaches:  optimistic, conservative and minimax regret
  • Discuss sensitivity and risk analysis
  • Identify decision strategy
  • Compute branch probabilities with Bayes’ Theorem
  • Explain utility theory

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