TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Have fundamental mathematic knowledge. 2) Learn programming techniques. 3) Produce analytical solving techniques for daily problems. 4) Have abstract thinking ability. 5) Have abilities of mathematical modelling and analysis of different problems from various fields. 6) Use mathematical programming techniques which is learned from lecture for solving social problems.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Decision making and decision process. Mathematical decision models. Lineer programming. Dinamic and integer programming.Shortest path and propagation programming and solving techniques. Random models.
COURSE CONTENTS	WEEK TOPICS 1st Week Decision making and decision process. 2nd Week Decision making and decision process. 3rd Week Decision making and decision process. 4th Week Mathematical decision models. 5th Week Mathematical decision models. 6th Week Mathematical decision models. 7th Week Mathematical decision models. 8th Week Mid-term 9th Week Lineer programming. 10th Week Lineer programming. 11th Week Dinamic and integer programming. 12th Week Dinamic and integer programming. 13th Week Shortest path and propagation programming and solving techniques. 14th Week Random models.
RECOMENDED OR REQUIRED READING	1. Sinha,S.M,"Mathematical Programming",Elsevier, (2005). 2. Bradley,S.P.,Hax,A.C.,Magnanti,T.L.,"Applied Mathematical Programming",Addison-Wesley Pub.,(1977). 3. Vatansever, F., "Algoritma Geliştirme Programlamaya Giriş",Seçkin Yayıncılık,(2011).
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Presentation,Practice,Problem Solving,Project,Report Preparation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 15 Project 1 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 2 2 Preparation for Quiz Individual or group work 14 11 154 Preparation for Final exam 1 69 69 Course hours 14 3 42 Preparation for Midterm exam 1 44 44 Laboratory (including preparation) Final exam 1 2 2 Homework Total Workload 313 Total Workload / 30 10,43 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No