Akademik Dersler - İçerik

Defines Decision and Decision Problem
Lists the fundamental concepts of a decision problem
Explains decision making environmets
Explains steps of decision making process
Defines Decision Criterions Under Uncertainty and Risk
Explains differences between maximax and minimax criterions
Defines the advantages of Hurwicz and Laplace criterions
Uses the expected value criterion
Applies the maximum likelihood criterion
Defines the decision tree and Bayesian Theorem
Describe the elements of decision tree
Creates the decision tree
Applies Bayesian formula into decision problems
Determines the expected value of perfect information
Defines Nonlinear Models
Defines nonlinear programming problems
Explains convex and concave functions
Solves constrained and unconstrained problems
Interprets Lagrange multipliers