Course Information

Course Name	Turkish	Yönetsel Karar Alma
	English	Managerial Decision Making
Course Code	ISL 354E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	7	3	3	-	-
Course Language		English
Course Coordinator		Fuat Kosanoğlu Fuat Kosanoğlu
Course Objectives		The aim of this course is, 1. to provide students practical techniques and decision support tools to help them to think clearly about objectives, attributes, alternatives, consequences, 2. to enable them to integrate judgments with other types of information in a logical and defensible manner. 3. to improve students' decision making skills, their ability to analyze problems systematically, and their confidence in their own decision making.
Course Description		Managerial Decision Making includes topics such as single person or group decision making under uncertainty and multi-criteria decision making. This course is designed to teach basic decision making tools which are essential for Management Engineering students. This course helps students to improve the quality of the decisions they make in managerial and personal decisions.
Course Outcomes		Students who pass the course will be able to, I. Structure and analyze a decision making problem and construct a decision making model. II. Choose and implement basic decision making techniques including elementary, value based and outranking methods. III. Utilize techniques like analytic hierarchy process, analytic network process and artificial neural networks. IV. Choose and implement basic group decision making techniques in different circumstances.
Pre-requisite(s)		ISL 213E),
Required Facilities
Other
Textbook		Howard, R.A., A. Abbas. 2016. Foundations of Decision Analysis. Pearson.
Other References		-Robert T. Clemen and Terence Reilly, Making Hard Decisions with Decision Tools,Pacific Grove, CA: Duxbury Press, 2001 (update 2004), ISBN 0-534-42199-7. -Keeney, R., H. Raiffa. 1976. Decisions with Multiple Objectives. Wiley. -Monahan, G.E. 2010. Management Decision Making: Spreadsheet Modeling, Analysis, and Applications. Cambridge University Press.

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