Sabancı Üniversitesi
Mühendislik ve Doğa Bilimleri Fakültesi
Bilgisayar Bilimi ve Mühendisliği
Describe the objectives, alternatives and uncertainties in a decision problem
Model and solve decision problems using decision trees.
Conduct sensitivity analysis to understand the important variables in the decision problem.
Explain the concepts of strategy, risk profiles and dominance.
Apply Bayes' formula, and calculate the values of perfect and imperfect information.
Assess discrete and continuous probability distributions using subjective methods, approximate methods, as well as theoretical models.
Apply single and multi-attribute utility models.
Implement the Analytical Hierarchy Process (AHP).
Describe the fundamental decision heuristics and related biases.
Discuss the fundamental concepts and trade-offs in decision analysis.
IE 405 Karar Analizi dersinden özel ders almak için bizimle iletişime geçebilirsiniz.
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