TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	3
SEMESTER	Fifth Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	6
NAME OF LECTURER(S)	Associate Professor Barış Keçeci Assistant Professor Gözde Önder Uzun Assistant Professor Esra Dinler
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Understand the basic concepts and principles of the nonlinear programming, integer programming and the dinamic programming 2) are able to understand the conditions of local and global optima in the nonlinear programming 3) are able to understand the optimality conditions of the solution in the integer programming models. 4) can model the problems in the dinamic programming framework 5) can generate the recursive functions in dinamic programming 6) have the ability to solve and interpret the results of nonlinear models with single and multi variables, integer decision models and dinamic programming models
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	Yes(END208)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Nonlinear decision models, local and global optima, convexity and quadratic forms. Analytic and numerical solutions of single and multi-variable nonlinear models. Integer programming, branch and bound method. Dynamic programming. Decision making under risk and uncertainty. Game theory.
COURSE CONTENTS	WEEK TOPICS 1st Week Project Management: PERT 2nd Week Project Management: CPM 3rd Week Integer Programming 4th Week Integer Programming Models and Examples 5th Week Branch and Bound Algorithm 6th Week Nonlinear Models and Examples 7th Week Convexity, Concavity and Quadratic Forms 8th Week Midterm 9th Week Analytic and Numerical Solutions to the Single Variable Nonlinear Model 10th Week Nonlinear Models with Several Variables 11th Week Multi-Stage Decision Models 12th Week Dynamic Programming and Examples 13th Week Decision Making under Risk and Uncertainty 14th Week Decision Making with Multiple Objective
RECOMENDED OR REQUIRED READING	Kara, İ. (1986) Doğrusal Olmayan Modeller, Anadolu Üniversitesi Basımevi; Winston, W.L. (1994) Operations Research: Applications and Algorithms, Duxbury Press; Taha, H.A. (1997) Operations Research: An Introduction.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Practice,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Quiz 5 20 Practice 1 5 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam Preparation for Quiz Individual or group work Preparation for Final exam Course hours Preparation for Midterm exam Laboratory (including preparation) Final exam Homework Total Workload Total Workload / 30 ECTS Credits of the Course 6
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No