Decisions under Uncertainty

Sequential Decision Trees

Follow the links below to download the material for Sequential Decision Trees.

Lessons

  • Lesson 1 + xml file for DE.TRE.TU. application (Duration 80 min)
    In this lesson learn to build a Decision Tree using decision nodes, event nodes and end nodes. Calculate expected values.
  • Lesson 2 + xml file for DE.TRE.TU. application (Duration 60 min)
    In this lesson learn about sequential decisions. 
  • Lesson 3 (Duration 60 min)
    In this lesson learn to calculate the expected value and selecting best path.
  • Lesson 4 + xml file for DE.TRE.TU. application (Duration 60 min)
    This lesson teach you about Break Even Analysis and time factor in decision trees.

 Applications

      

Bayesian Networks

Follow the links below to download the material for Bayesian Networks.

Lessons

  • Lesson 1 + xml file for AIspace application tool (Duration 40 min)
    In this lesson learn about Bayesian networks basics, nodes and values and structure. Build the structure of a Bayesian network using software.
  • Lesson 2 + xml file for AIspace application tool (Duration 70 min)
    Learn about conditional probabilities, conditional probability tables (CPTs), dependencies and Markov property. Buildi CPTs with software.
  • Lesson 3  (Duration 100 min)
    Learn about beliefs and evidence, types of reasoning, reasoning in practice, do some reasoning using specialized software.
  • Lesson 4 (Duration 30-60 min)
    Verbose reasoning using specialized software.

Applications

Design By:Template World