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)	Professor Berna Dengiz
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) will have an ability to apply knowledge of mathematics, science, and engineering 2) will have an ability to design and conduct experiments, as well as to analyze and interpret data 3) will have an ability to design a system, component, or process to meet desired needs within realistic 4) will have an ability to identify, formulate, and solve engineering problems 5) will have an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Simulation method. Using simulation in forecasting, decision making and policy making. Data fitting and generating random variates. Simulation languages. Simulation modeling, output analysis. Some applications of manufacturing and service systems.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to system simulation 2nd Week Input analysis: (Input distribution selection) 3rd Week Input analysis: (Input distribution selection) 4th Week Validation and verification 5th Week Validation and verification 6th Week Output analysis 7th Week Output analysis 8th Week Midterm 9th Week Output analysis 10th Week Variance reduction techniques 11th Week Simulation optimization 12th Week Simulation optimization 13th Week Paper discussion 14th Week General Review
RECOMENDED OR REQUIRED READING	(1) Law, A.M., Kelton, W.D., Simulation Modelling and Analysis (2)Pegden, C.D., Shannon, R.E., and Sadowski, R.P. Introduction to Simulation Using SIMAN (2nd ed.),1995
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Presentation,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 3 20 Attendance 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 1 2 2 Preparation for Quiz Individual or group work 14 14 196 Preparation for Final exam 1 20 20 Course hours 14 3 42 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 2 2 Homework 3 6 18 Total Workload 300 Total Workload / 30 10 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No