TYPE OF COURSE UNIT	Compulsory 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) Gain an ability to apply knowledge of mathematics, science, and engineering 2) Gain an ability to design and conduct experiments, as well as to analyze and interpret data 3) Gain an ability to design a system, component, or process to meet desired needs within realistic 4) Gain an ability to function on multidisciplinary teams 5) Gain an ability to identify, formulate, and solve engineering problems 6) Gain 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 Simulation, system, model, types of simulation 2nd Week Advantage and disadvantage of simulation, its application areas, Monte Carlo simulation 3rd Week Discrete event simulation 4th Week Modelling with SIMAN 5th Week Modelling with SIMAN 6th Week Modelling with SIMAN 7th Week A review of statistics for input and output analysis 8th Week Midterm 9th Week Input distribution selection 10th Week Random number and variate generation and their generators 11th Week Random variate generators 12th Week Validation and verification 13th Week Validation and verification 14th Week Output analysis
RECOMENDED OR REQUIRED READING	Law, A.M., Kelton, W.D., Simulation Modelling and Analysis 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,Questions/Answers,Problem Solving,Practice,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Project 1 30 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 25 25 Course hours 14 3 42 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 2 2 Homework 1 14 14 Total Workload 306 Total Workload / 30 10,2 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No