Course Outline:
Course Description:
This course is an introductory course in Decision Analysis(DA). It is intended to provide basic knowledge of the main elements involved in decision making, decision making under certainty , risk and uncertainty, decision trees and value of information, Bayesian approach, game theory and other relevant topics as time permits.
Course Objectives:
Students who successfully finish this course are expected to:
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Recognize the different types of decision making situations.
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Be able to apply a structured approach to making professional and managerial decisions.
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Appreciate and evaluate the importance of information and modeling in decision making.
Course Outlines:
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Elements of decision problems.
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Decision making under certainty.
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Decision making under risk.
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Decision making under uncertainty.
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Decision trees.
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Bayesian approach.
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Value of Information.
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Game theory.
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Other related topic as time permits.
Required Textbook and readings:
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Goodwin, P. and G. Wright, “Decision Analysis for Management Judgment”, 3rd Edition. Wiley, 2004.
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Supplemental readings: some additional reading material will be distributed in the class.
Other References:
Charles W. L. Hill, and Gareth R. Jones, “The Essentials of Strategic Management” , First Edition published by Houghton Mifflin, 2007.
Classroom Policy:
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Turn off your cell phone before you get inside the class room.
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Be on time and respect deadlines; late homework will not be accepted!
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Participate: be ready and prepare well, that is the key to success!
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Avoid absence….Class attendance is a must.
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Avoid Make-up/incomplete exams!
Grading and Exams Policy:
First Exam 20%
Second Exam 20%
Homework, quizzes and participation 10%
Final Exam 50%
Office Hours and class times: See the time table.