TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	3
SEMESTER	Sixth Term (Spring)
NUMBER OF ECTS CREDITS ALLOCATED	7
NAME OF LECTURER(S)	Professor Berna Dengiz Assistant Professor Merve Uzuner
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Gain an ability to design a system, component, or process to meet desired needs within realistic 2) Gain an ability to design and conduct experiments, as well as to analyze and interpret data 3) Gain an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice 4) Gain an ability to identify, formulate, and solve engineering problems
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	Yes(END214)
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Simulation concept. Modeling and analysis of a system with simulation technique. Application areas of simulation as a decision tool. Simulation models. Discrete event simulation. Modeling of service and production systems usign simulation language. Selecting input probability distribution. Output analysis.
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 A review of statistics for input and output analysis 7th Week Input distribution selection 8th Week Random number and variate generation and their generators 9th Week Midterm 10th Week Random variate generators 11th Week Validation and verification 12th Week Validation and verification 13th Week Output analysis 14th Week Output analysis
RECOMENDED OR REQUIRED READING	Law, A.M., Kelton, W.D., 2000, Simulation Modelling and Analysis, McGraw Hill Inc., Banks, J., Carson, J.S., 2000, Discrete Event System Simulation, Prentice Hall.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Practice,Problem Solving,Other
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 25 Assignment 7 15 Quiz 4 15 Project 1 15 Attendance 1 5 Total(%) 75 Contribution of In-term Studies to Overall Grade(%) 75 Contribution of Final Examination to Overall Grade(%) 25 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 4 4 16 Individual or group work 14 4 56 Preparation for Final exam 1 20 20 Course hours 14 4 56 Preparation for Midterm exam 1 20 20 Laboratory (including preparation) Final exam 1 2 2 Homework 8 3 24 Total Workload 196 Total Workload / 30 6,53 ECTS Credits of the Course 7
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No