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Prescriptive Analytics & Decision Trees

Graduate Program in Business Analytics

Explore Prescriptive Analytics & Decision Trees as part of Graduate Program in Business Analytics. Read the syllabus and available chapters online.

Academic programmeGraduate Program in Business Analytics

LevelGraduate

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Prescriptive Analytics & Decision TreesSyllabus

Foundations Of Prescriptive Analytics And Decision IntelligenceChapter 1

Decision Problem Structuring And Model FormulationChapter 2

Decision Trees And Decisions Under UncertaintyChapter 3

Probability Bayesian Updating And Value Of InformationChapter 4

Utility Theory Risk And Behavioral Decision MakingChapter 5

Mathematical Programming FoundationsChapter 6

Discrete Network And Nonlinear OptimizationChapter 7

Sensitivity Scenario And Robust Decision AnalysisChapter 8

Simulation And Stochastic OptimizationChapter 9

Sequential Decisions And Dynamic PoliciesChapter 10

Predictive Trees Causal Analytics And Prescriptive Machine LearningChapter 11

Multi Criteria Portfolio And Group Decision ModelsChapter 12

Prescriptive Analytics Technology And Operational DeploymentChapter 13

Validation Ethics And GovernanceChapter 14

Enterprise Applications And Emerging Decision SystemsChapter 15