Course Information

Course Name	Turkish	Kantitatif Karar Teknikleri
	English	Quantitative Decision Techniques
Course Code	ISS 500E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	-	-	-
Course Language		English
Course Coordinator		Ferhan Çebi
Course Objectives		Course aims to 1. teach quantitative decision techniques and the application of these techniques. 2. provide a scientific and managerial perspective for model building, solving, and analyzing the real life problems in both manufacturing and service sectors.
Course Description		Introduction to quantitive analysis (QA), introduction to lineer programming (LP), basic definitions, assumptions and forms of LP, formulating LP problems, graphical solution of LP, the Simplex Method, the Big M Method, economic interpretation of simplex table, sensivity analysis, economic interpretation of dual problems, computer appplications, transportation models: introduction, balanced and unbalanced transportation models, improved starting solution of transportation problems, solution techniques of transportation models, assignment and transshipment models, goal programming, data envelopment analysis, Analytic Hierarchy Process, decision theory, presentation of projects.
Course Outcomes		Students who successfully pass this course gain knowledge, skills and competency such as: I. Knowledge of identifying the problems and the systems required for decision making with the variables, constraints and objectives, II. Knowledge of building mathematical models of the problems and systems, III. Ability to solve the models by using the algorithms and techniques, IV. Ability to evaluate and interpret the results obtained from the solutions, V. Ability to search and learn how to use different quantitative techniques in managerial decision making, VI. Ability to analyze and solve the real life problems.
Pre-requisite(s)
Required Facilities
Other
Textbook		-Render, B., Stair R. M. Jr. ve Hanna, M.E. (2008), Quantitative Analysis for Management, 10.Baskı, Prentice Hall. ISBN-10: 0136036252, ISBN-13: 978-0136036258
Other References		-Anderson, D. R., Sweeney D. J. ve Williams, T. A. (2011), An Introduction to Management Science, 13. Baskı, South –Western College Publishing. ISBN-13: 978-1111532222. -Hillier, F.S. ve Lieberman, G.J. (1995), Introduction to Mathematical Programming, McGraw-Hill Publishing Company. ISBN-10: 0079118305, ISBN-13: 978-0079118301. -Taha, H. (2006), Operations Research an Introduction, 7.Baskı, Prentice Hall Inc. ISBN-10: 0131889230, ISBN-13: 978-0131889231 -Taylor, B.W. (2009), Introduction to Management Science, 10.Baskı, Prentice Hall. ISBN-10: 0136064361, ISBN-13: 978-0136064367. -Winston, W.L. (2004) Operations Research, Applications and Algorithms, 4.Baskı, Thomson Learning Inc. ISBN: 0-534-42362-0

Courses

Help

About