IE 508 | Course Introduction and Application Information - M.SC. In Industrial Engineering (With Thesis)

Course Name

System Simulation and Modeling

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
IE 508	Fall/Spring	3	0	3	7.5

Prerequisites	None
Course Language	English
Course Type	Elective
Course Level	Second Cycle
Mode of Delivery	-
Teaching Methods and Techniques of the Course	Lecture / Presentation
National Occupation Classification	-
Course Coordinator	Dr. Öğr. Üyesi Kamil Erkan Kabak
Course Lecturer(s)	Dr. Öğr. Üyesi Kamil Erkan Kabak
Assistant(s)	-

Course Objectives

This course covers the concept of system simulation and provides students with skills needed to model and analyze real or conceptual systems.

Learning Outcomes

The students who succeeded in this course;

Be able to understand the concept of discrete event system simulation
Be able to examine how to evaluate the performance of a system
Be able to comment on how to design and implement simulation models using processoriented simulation language ARENA
Be able to understand and appply statistical methods used in design and analysis of simulation experiments

Course Description

This course covers basic concepts of simulation modeling, modeling complex systems, random number and random variate generation, model verification and validation, modeling of input data, output analysis, experimental design and optimization, agent-based simulation.

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Management Skills Courses
	Transferable Skill Courses

Week	Subjects	Related Preparation	Learning Outcome
1	Basic Simulation Modeling-Introduction & Basic Concepts	Chapter 1, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
2	Basic Simulation Modeling-Simulation of Single-Server Queueing Systems, C Program	Chapter 1, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
3	Basic Simulation Modeling-Parallel/Distributed Simulation, Other Types of Simulation, Sample Examples	Chapter 1, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
4	Modeling Complex Systems	Chapter 2, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
5	Selecting Input Probability Distributions-Techniques for Assessing Sample Independence, Estimation of Parameters	Chapter 6, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
6	Selecting Input Probability Distributions-Specifying Multivariate Distributions, Correlations, Stochastic Processes	Chapter 6, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
7	Generating Random Numbers and Random Variates	Chapter 7-8, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
8	Verification and Validation of Simulation Models	Chapter 5, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
9	Output Data Analysis of a Single System	Chapter 9, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
10	Comparing Alternative System Configurations	Chapter 10, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
11	Midterm
12	Experimental Design and Optimization	Chapter 12, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
13	Agent-Based Simulation	Chapter 13, Law, A. M., Simulation Modeling and Analysis, 5th Ed., McGraw-Hill, 2015.
14	Project Presentations
15	Review of Semester
16	Review

Course Notes/Textbooks

Law, Averill M. Simulation Modeling and Analysis, 5th Ed., McGraw-Hill Inc., 2015. ISBN: 978-007-340132-4.

Suggested Readings/Materials

Banks, J., Carson II, J. S., Nelson, L. B., and Nicol M. D. Discrete-Event System Simulation, Fifth Edition, Pearson Inc. 2014. ISBN: 978-1-292-02437-0.

Kelton, W.D., Sadowski, R. P. and Zupick, N.B. Simulation With ARENA, McGraw-Hill, Inc., Sixth Edition, 2015. ISBN: 978-1-259-25436-9.

Pegden, D.C., Shannon, E.R. and Sadowski P.R. Introduction to Simulation Using SIMAN, McGrawHill, Inc. 1995. ISBN: 978-0071138109.

Semester Activities	Number	Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques	1	20
Portfolio
Homework / Assignments
Presentation / Jury	1	10
Project	1	40
Seminar / Workshop
Oral Exams
Midterm	1	30
Final Exam
Total

Weighting of Semester Activities on the Final Grade	4	60
Weighting of End-of-Semester Activities on the Final Grade	1	40
Total

Semester Activities	Number	Duration (Hours)	Workload
Theoretical Course Hours (Including exam week: 16 x total hours)	16	3	48
Laboratory / Application Hours (Including exam week: '.16.' x total hours)	16		0
Study Hours Out of Class	14	5	70
Field Work			0
Quizzes / Studio Critiques	1	15	15
Portfolio			0
Homework / Assignments			0
Presentation / Jury	1	12	12
Project	1	50	50
Seminar / Workshop			0
Oral Exam			0
Midterms	1	30	30
Final Exam			0
		Total	225

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	To have an appropriate knowledge of methodological and practical elements of the basic sciences and to be able to apply this knowledge in order to describe engineering-related problems in the context of industrial systems.		-	-	-	-	X
2	To be able to identify, formulate and solve Industrial Engineering-related problems by using state-of-the-art methods, techniques and equipment.		-	-	-	X	-
3	To be able to use techniques and tools for analyzing and designing industrial systems with a commitment to quality.		-	-	-	X	-
4	To be able to conduct basic research and write and publish articles in related conferences and journals.		-	-	X	-	-
5	To be able to carry out tests to measure the performance of industrial systems, analyze and interpret the subsequent results.		-	-	-	-	X
6	To be able to manage decision-making processes in industrial systems.		-	-	-	X	-
7	To have an aptitude for life-long learning; to be aware of new and upcoming applications in the field and to be able to learn them whenever necessary.		-	-	-	X	-
8	To have the scientific and ethical values within the society in the collection, interpretation, dissemination, containment and use of the necessary technologies related to Industrial Engineering.		-	-	-	X	-
9	To be able to design and implement studies based on theory, experiments and modeling; to be able to analyze and resolve the complex problems that arise in this process; to be able to prepare an original thesis that comply with Industrial Engineering criteria.		-	-	-	X	-
10	To be able to follow information about Industrial Engineering in a foreign language; to be able to present the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.		-	-	-	X	-

IE 508 | Course Introduction and Application Information

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

EVALUATION SYSTEM

ECTS / WORKLOAD TABLE

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

NEW GÜZELBAHÇE CAMPUS

GLOBAL CAREER

CONTRIBUTION TO SCIENCE

VALUING PEOPLE

BENEFIT TO SOCIETY