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) To solves problems in the field of Energy Systems Engineering by using the acquired knowledge of mathematics, science and engineering 2) Using data to complete the necessary information with scientific methods. 3) Designs theoretical and applied researches related to the field by developing original ideas and methods. 4) Develops and applies innovative methods to solve problems related to Energy Systems Engineering by following scientific studies in the field.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction Simulation, System and Model, Sample Systems 2nd Week Types of simulation, Advantages and disadvantages of simulation, Usage areas 3rd Week Monte Carlo Simulation and Application with Computer Program 4th Week Basic Probability and Statistical Review Random variables, variance and correlation, confidence interval and hypothesis testing. 5th Week Discrete Event Simulation Definitions, discrete event simulation steps and other simulation types, manual simulation, simulation of a serviced queuing system 6th Week Simulation Software (ARENA): General Concepts 7th Week ARENA blocks 8th Week ARENA blocks 9th Week Input probability distribution selection 10th Week Random Number and Variable Generators 11th Week Output Analysis 12th Week Comparison of Alternative Systems and Variance Reduction Techniques 13th Week Project Presentations 14th Week Project Presentations 15th Week
RECOMENDED OR REQUIRED READING	1. Law, A.M., Kelton, W.D., (2000), Simulation Modelling and Analysis, McGraw Hill Inc. 2. Pegden, C.D., Shannon, R.E., and Sadowski, R.P., (1995), Introduction to Simulation Using SIMAN, McGraw Hill Inc. 3. Banks, J., Carson, J.S., (2000), Discrete Event System Simulation, PrenticeHall
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Questions/Answers,Project,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 1 5 Quiz 1 10 Project 1 10 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 3 3 Preparation for Quiz 14 3 42 Individual or group work 14 3 42 Preparation for Final exam 7 3 21 Course hours 14 3 42 Preparation for Midterm exam 7 3 21 Laboratory (including preparation) Final exam 1 3 3 Homework 6 5 30 Presentation (including preperation) 1 6 6 Project 1 42 42 Quiz 6 ,5 3 Term Project Research 1 56 56 Total Workload 311 Total Workload / 30 10,36 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No