TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learnconstraint and unconstraint optimization problems. 2) Learn linear, non-linear and square programming. 3) Learn various algorithms and applications.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Constrained Optimization. Linear Programming. Lagrange Multipliers. Quadratic Programming. Non-linear Programming. Newton Methods. Conjugate Direction Methods. Linear and Nonlinear Least Squares Problems.
COURSE CONTENTS	WEEK TOPICS 1st Week Constrained Optimization. 2nd Week Linear Programming. 3rd Week Lagrange Multipliers. 4th Week Quadratic Programming. 5th Week Non-linear Programming. 6th Week Newton Methods. 7th Week Conjugate Direction Methods. 8th Week Mid-term 9th Week Linear and Nonlinear Least Squares Problems. 10th Week Linear and Nonlinear Least Squares Problems 11th Week Linear and Nonlinear Least Squares Problems 12th Week Linear and Nonlinear Least Squares Problems 13th Week Linear and Nonlinear Least Squares Problems 14th Week Linear and Nonlinear Least Squares Problems
RECOMENDED OR REQUIRED READING	1. Fletcher R., Practical Methods of Optimization, 2/E, ISBN: 0471278289, J. Wiley, 2001 2. Bradie A., A Friendly Introduction to Numerical Analysis, 6/E, ISBN-13: 9780130130549, Pearson/Prentice Hall, 2006 3. Aktaş Z., Sayısal Çözümleme, ODTÜ Yayınları, 1991
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 15 Quiz 5 15 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 1 1,5 1,5 Preparation for Quiz 3 5 15 Individual or group work Preparation for Final exam 1 30 30 Course hours 14 4 56 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 1,5 1,5 Homework 2 10 20 Quiz 3 ,8 2,4 Total Workload 151,4 Total Workload / 30 5,04 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No