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LO-1
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Define the concept of decision making |
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LO-2
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Define the common characteristics of decision making |
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LO-3
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List the steps of decision making process |
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LO-4
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Explain the types of decision making environments |
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LO-5
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Explain the cases of decision making under uncertainty |
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LO-6
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Recognize different methods of decision making under uncertainty and make analyses with these methods |
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LO-7
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Explain the decision making under risk and the criterions used when decision making under risk |
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LO-8
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Define the expected value of perfect information |
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LO-9
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Describe the decision tree and components of it |
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LO-10
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Explain the Bayes’ Theorem |
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LO-11
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Define the linear programming concept and its role in the operations research process, and evaluate the limitations in decision-making applications |
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LO-12
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Construct a linear model for a given problem |
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LO-13
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Solve a two-variable linear program on a plane |
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LO-14
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Explain the essence of simplex method in comparison with the other methods for solving linear models |
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LO-15
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Use the simplex method to solve a linear model with elementary algebraic operations |
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LO-16
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Solve a linear model with the simplex method in tabular form |
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LO-17
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Model a transportation problem and define the optimality condition by the concept of duality |
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LO-18
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Solve a modeled transportation problem |
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LO-19
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Model and solve an assignment problem |
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LO-20
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Define the game theory and related concepts of the game theory |
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LO-21
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Find optimal strategies of a two-person zero-sum game |
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LO-22
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Plot graphics of 2xn and mx2 games |
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LO-23
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Define the properties of a stochastic process and, explain the relationship between a stochastic process and a Markov chain |
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LO-24
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Specify a given discrete-time Markov chain in terms of a transition matrix |
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LO-25
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Determine whether states are recurrent or transient in simple cases, |
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LO-26
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Interpret the steady-state solution of a Markov chain |