TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Professor İmdat Kara
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) To have the theoretical knowledge about the Stochastic modeling techniques. 2) To be able to select the proper techniques during the analysis and design of of the queue systems those are encountered in the production and service processes. 3) To be able to choose the appropriate technique for the estimation of the parameters required to solve the problems. 4) To be able to use the proper technique for the planning and control of service enterprises.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION
COURSE CONTENTS	WEEK TOPICS 1st Week Probability spaces and classification of stochastic processes 2nd Week Bernoulli Processes 3rd Week Poisson Processes 4th Week Markov chains 5th Week Applications of Markov chains and Limit Theorems 6th Week Applications of Markov chains and Limit Theorems 7th Week Continuous-time Markov chains 8th Week Midterm 9th Week Continuous-time Markov chains 10th Week Renewal theory 11th Week Markovian renewal theory 12th Week Markovian renewal theory 13th Week Stochastic order relations 14th Week Stochastic order relations
RECOMENDED OR REQUIRED READING	(1) Ross, S. M. (1995). Stochastic Processes. New York. (2) J. Wiley Lawler, G.F. (2000), Introduction to Stochastic Processes, Chapmann&Hall/CRC Probability. (3) Papoulis, A., (1991). Probability, Random Variables and Stochastic Processes, Third edition, McGRAW-HILL International, Singapore.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Experiment,Problem Solving,Questions/Answers,Lecture
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 1 8 Project 1 7 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work 14 12 168 Preparation for Final exam 1 25 25 Course hours 14 3 42 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 2 2 Homework 2 14 28 Total Workload 292 Total Workload / 30 9,73 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No